{"title":"All courses","description":null,"products":[{"product_id":"free-kit","title":"Free Kit","description":"\u003cp\u003e\u003cspan\u003e1. Problem Statement\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAt the beginning of learning Python, many learners feel that code is made of separate symbols and rules that are hard to connect. Even a simple example can feel confusing when variables, conditions, data types, and step order are not explained clearly. Learners often move from one topic to another without seeing the broader structure of the language. Another common challenge is dealing with errors, because code messages can look technical and unclear. Free Kit is designed as a gentle starting point, so the first contact with Python begins with a simple learning route instead of scattered information.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e2. Solution\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eFree Kit explains basic Python concepts through short structured modules and simple examples. The course shows how variables, data types, basic operations, and first logic structures work. The materials help learners understand the role of each line instead of only copying code. The tasks are arranged so learners can gradually train code reading, attention to detail, and basic logic. This tier works as a first step before moving to broader Codarynirao courses.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e3. What's Inside\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 1: Python as a Language of Instructions\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners explore how Python reads commands, why step order matters, and what the basic structure of simple code looks like.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 2: Variables and Values\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study what variables are, how values are stored, and how naming helps make code clearer.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 3: Data Types in Simple Examples\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners get familiar with strings, numbers, boolean values, and the basic differences between them.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 4: First Conditions\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners see how code can react to different situations through conditions.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 5: Reading Small Code Fragments\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners practice reading short code fragments and explaining what happens at each step.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 6: Common Beginner Errors\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study common beginner mistakes, including unclear names, missing symbols, and incorrect step order.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 7: Mini Practice Tasks\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners complete short exercises to review basic concepts and build attention to detail.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e4. Who is this for?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e✅ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eA good fit if you...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eare just getting familiar with Python;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to understand basic code logic without overload;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eare looking for a short introductory course before choosing a broader tier;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to see how Codarynirao presents learning materials;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003evalue step-by-step explanations and simple examples.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e❌ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eNot a fit if...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eyou need complex Python topics from the start;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou are looking for a large course with many practical projects;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou need materials with advanced algorithms;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou already work comfortably with functions, data structures, and modules;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou expect learning without independent practice.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e5. What You'll Learn\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eunderstand what Python is and how it follows basic instructions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate simple variables and work with basic values;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eidentify main data types in simple examples;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eread short code fragments and explain their logic;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003enotice common beginner errors;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewrite small code fragments with conditions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecomplete short self-check exercises;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eunderstand the Codarynirao learning structure before choosing the next tier.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e6. Return Terms\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e- 30-day money back \u003cbr\u003e- Risk-free\u003c\/span\u003e\u003c\/p\u003e","brand":"Codarynirao","offers":[{"title":"Default Title","offer_id":55810470871425,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0947\/9156\/5697\/files\/free.jpg?v=1781694146"},{"product_id":"vertex-course","title":"Vertex Course","description":"\u003cp\u003e\u003cspan\u003e1. Problem Statement\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAfter the first steps in Python, a new challenge often appears: separate concepts may feel familiar, but it is still not always clear how to connect them into complete code. A learner may know what a variable or condition is, but feel unsure when building a small sequence of actions. Loops, lists, and nested checks can seem similar without clear examples and explanations. Because of this, code may be written mechanically, without understanding why a certain structure fits a specific task. Vertex Course is created to help learners move from separate beginner topics to more connected thinking in Python.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e2. Solution\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eVertex Course breaks down main Python structures into clear parts and shows how they work together. The course gradually explains conditions, loops, lists, basic functions, and ways to organize simple tasks. The materials are arranged so learners can see not only finished code, but also the logic behind its structure. Each module includes examples, explanations, and exercises for careful topic review. This tier is suitable for learners who want to strengthen their base and read and write small Python fragments with more clarity.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e3. What's Inside\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 1: Building Logic with Conditions\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how to create conditional structures, combine several checks, and understand why code follows one path instead of another.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 2: Repetition with Loops\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners explore how loops work, when repetition is useful, and how to avoid unnecessary or confusing actions in code.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 3: Lists as Simple Data Containers\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners get familiar with lists, learn how to store several values, and perform basic operations with groups of data.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 4: Working with Indexes and Elements\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners understand how to refer to individual elements, change them, and read the structure of a list step by step.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 5: First Functions\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study why functions are useful, how they help organize code, and how to pass simple values.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 6: Combining Conditions, Loops, and Lists\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners see how different basic structures work together in small tasks.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 7: Debugging Small Logic Errors\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review common mistakes in conditions, loops, and lists, while practicing more careful step-by-step checking.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 8: Practice Lab: Small Python Tasks\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners complete a set of practical exercises using conditions, loops, lists, and functions in simple scenarios.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e4. Who is this for?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e✅ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eA good fit if you...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003ealready know basic Python concepts;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to better understand conditions, loops, and lists;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to combine several structures in one code fragment;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003evalue calm explanations without overload;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant more practice after an introductory course;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to read code more carefully and explain its logic.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e❌ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eNot a fit if...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eyou are completely new to Python and want a very short introduction first;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou need complex projects with many files;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou already work comfortably with functions, collections, and modules;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou are looking for deep algorithm theory;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou do not plan to complete practical tasks.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e5. What You'll Learn\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003ebuild simple conditional structures;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003euse loops to repeat actions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ework with lists and individual elements;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eread code with several ordered steps;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate simple functions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecombine conditions, loops, lists, and functions in small tasks;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003efind common logic errors;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eexplain why code works in a certain way;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecomplete practical tasks with basic Python logic;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eprepare for broader topics in the next Codarynirao tiers.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e6. Return Terms\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e- 30-day money back \u003cbr\u003e- Risk-free\u003c\/span\u003e\u003c\/p\u003e","brand":"Codarynirao","offers":[{"title":"Default Title","offer_id":55810517336449,"sku":null,"price":40.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0947\/9156\/5697\/files\/vertex.jpg?v=1781694145"},{"product_id":"luma-module","title":"Luma Module","description":"\u003cp\u003e\u003cspan\u003e1. Problem Statement\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWhen a learner already knows conditions, loops, and lists, the next challenge is code organization. Small fragments may work on their own, but when a task grows, the code can start to look scattered and difficult to read. A common question is when to create a function, how to pass values, and how to avoid repeating the same actions in different places. Data collections may also feel confusing when it is not clear how a list differs from a dictionary or when a tuple can be useful. Luma Module is created to help learners see Python as a system where data, functions, and logic work together.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e2. Solution\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eLuma Module explains how to build code around functions, collections, and clear sequences of actions. The course shows how to divide a task into smaller parts, give each function a clear role, and work with different ways of storing data. The materials combine explanations, examples, and practical exercises so learners can gradually get used to more organized code. Special attention is given to reading fragments where several Python elements work at the same time. This tier is suitable for learners who want to make their study more systematic and move toward broader tasks.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e3. What's Inside\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 1: Functions as Reusable Blocks\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how functions help organize code, reduce repetition, and create clear parts of a program.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 2: Parameters and Return Values\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners explore how to pass values into a function, how to receive a result, and why the direction of data movement matters.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 3: Lists, Tuples, and Sets\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners get familiar with several collection types, their behavior, and basic use scenarios.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 4: Dictionaries for Named Data\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study dictionaries as a way to store named data, read key-value pairs, and build simple structures.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 5: Loops with Collections\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners see how to move through collection elements, process data, and combine repetition with conditions.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 6: Organizing Small Programs\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review how to divide small tasks into parts, create a clear sequence, and reduce disorder in code.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 7: Reading Multi-Part Code\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners practice reading fragments where functions, loops, conditions, and collections work together.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 8: Practice Lab: Data and Functions\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners complete tasks with functions, lists, dictionaries, and simple data-processing scenarios.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 9: Review Notes and Self-Check\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners receive short topic summaries and self-check tasks for reviewing understanding.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e4. Who is this for?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e✅ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eA good fit if you...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003ealready know basic variables, conditions, loops, and lists;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to better understand functions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to work with dictionaries and other collections;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to write code with a clearer structure;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to see the connection between data and actions in code;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eare looking for more practice with small Python scenarios.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e❌ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eNot a fit if...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eyou are not yet familiar with conditions and loops;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou only need a short introduction to Python;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou already comfortably build programs with several files;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou are looking for deep work with libraries;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou do not plan to complete exercises and analyze examples on your own.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e5. What You'll Learn\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003ecreate functions for repeated actions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003epass values into functions and return results;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ework with lists, tuples, sets, and dictionaries;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003echoose a simple data collection for a specific task;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecombine loops, conditions, and collections;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eread code where several parts work together;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003edivide a small task into logical blocks;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003enotice repetition in code and replace it with functions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecomplete practical exercises with simple data processing;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eprepare for the next tiers with a broader Python structure.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e6. Return Terms\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e- 30-day money back \u003cbr\u003e- Risk-free\u003c\/p\u003e","brand":"Codarynirao","offers":[{"title":"Default Title","offer_id":55810522775937,"sku":null,"price":150.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0947\/9156\/5697\/files\/luma.jpg?v=1781694147"},{"product_id":"nexus-guide","title":"Nexus Guide","description":"\u003cp\u003e\u003cspan\u003e1. Problem Statement\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAfter studying functions and collections, many learners face the question of how to organize code when it becomes larger. One file can quickly turn into a long set of fragments where it is hard to find the needed part. This makes it more difficult to check logic, change individual blocks, and return to earlier decisions. Imports, modules, and folder structure can feel unclear when their role in learning code is not explained. Nexus Guide is created to show how Python code can be arranged through files, modules, and clear navigation between parts.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e2. Solution\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eNexus Guide explains how to divide Python code into files, create simple modules, and use imports in learning tasks. The course shows how to organize a small set of files so that each part has its own role. The materials help learners understand why code structure matters not only for larger tasks, but also for regular exercises. Learners gradually review examples where functions, data, and helper parts are placed in different files. This tier is suitable for moving from one file to a more organized Python project in a learning format.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e3. What's Inside\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 1: From One File to Several Files\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners find out when one file becomes inconvenient and how dividing code helps make its structure easier to read.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 2: Understanding Python Modules\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study what a module is, how it works, and how it can store functions, variables, and helper logic.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 3: Importing Code Clearly\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners practice using imports, reading connections between files, and understanding where a needed function comes from.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 4: Folder Structure for Small Projects\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners see how to arrange folders and files for a small learning-based Python project.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 5: Separating Data, Logic, and Output\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how to separate data, calculations, and output so the code is easier to read.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 6: Reusing Helper Functions\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review how to create helper functions and use them in different parts of a learning task.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 7: Reading Multi-File Code\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners practice reading code made of several files and following the execution path.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 8: Practice Lab: Small Structured Project\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners complete a practical task where code needs to be divided into several parts and arranged into a clear system.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 9: Common Structure Mistakes\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review common mistakes in file names, imports, repetitions, and function placement.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 10: Review Map\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners receive a short topic map for reviewing file structure, modules, and imports.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e4. Who is this for?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e✅ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eA good fit if you...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003ehave already worked with functions and collections;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to understand how to divide code into several files;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to learn how to read connections between modules;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eplan to create small learning-based Python projects;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to organize code more clearly;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003evalue examples that explain the role of each file.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e❌ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eNot a fit if...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eyou are not yet familiar with functions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou only need a short introduction to Python;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou do not plan to work with several files;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou are looking for deep architecture of large systems;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou want learning without practical review of code structure.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e5. What You'll Learn\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eunderstand when code can be divided into several files;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate simple Python modules;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003euse imports in learning tasks;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eread connections between files;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eorganize a small folder structure;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eseparate data, logic, and output;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate helper functions for repeated actions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eanalyze code made of several parts;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003efind common mistakes in imports and structure;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eprepare for broader courses with more complex learning tasks.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e6. Return Terms\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e- 30-day money back \u003cbr\u003e- Risk-free\u003c\/p\u003e","brand":"Codarynirao","offers":[{"title":"Default Title","offer_id":55810530017665,"sku":null,"price":248.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0947\/9156\/5697\/files\/nexus.jpg?v=1781694146"},{"product_id":"spark-framework","title":"Spark Framework","description":"\u003cp\u003e\u003cspan\u003e1. Problem Statement\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eWhen a learner already understands basic Python structures, the next need is learning how to write code that is not only correct, but also organized. Code may run, yet still be hard to read because of repetition, unclear names, or different tasks mixed in one place. A learner may struggle to decide how to divide a task into parts, where to place functions, and how to make logic more consistent. Another challenge appears when working with data, because values need to be stored and processed in the right order. Spark Framework is created to help learners work with Python as a system of connected decisions, not as a set of separate fragments.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e2. Solution\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eSpark Framework explains how to create a cleaner Python code structure through functions, modules, collections, and simple organization rules. The course shows how to divide a learning task into logical blocks, reduce unnecessary repetition, and make code easier to review later. The materials include examples, exercises, and reviews of small scenarios where several topics work together. Learners gradually study the difference between code that only runs and code that is easier to read, change, and explain. This tier is suitable for learners who want to move from basic exercises to more structured work with Python.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e3. What's Inside\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 1: Thinking in Code Blocks\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how to see a task not as one long fragment, but as a set of connected parts with different roles.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 2: Clean Function Design\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review how to create functions with clear purpose, understandable names, and predictable behavior.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 3: Data Flow in Small Programs\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how values move between variables, functions, and data structures.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 4: Practical Work with Dictionaries\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners practice using dictionaries to store structured information and work with key-value pairs.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 5: Nested Structures\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners see how to work with lists inside dictionaries, dictionaries inside lists, and other simple nested forms.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 6: Input, Processing, Output\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review a basic pattern where data comes in, is processed, and returns in a readable form.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 7: Module-Based Organization\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners see how to place helper logic in separate files and connect it with the main part of a learning task.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 8: Code Review Notes\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how to review their own code, find repetition, unnecessary actions, and unclear parts.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 9: Practice Lab: Structured Python Scenario\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners complete a practical task that combines functions, dictionaries, loops, and modules.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 10: Refactoring Basics\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review how to gradually improve the structure of already written code without changing its main logic.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 11: Review Checklist\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners receive a checklist for reviewing structure, names, repetition, and code order.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e4. Who is this for?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e✅ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eA good fit if you...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003ealready know functions, lists, dictionaries, and modules;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to write more organized Python code;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to better understand data movement in small programs;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to divide tasks into clear parts;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003evalue practical exercises with logic explanations;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to prepare for broader learning scenarios in the next tiers.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e❌ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eNot a fit if...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eyou do not yet understand basic conditions, loops, and functions;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou need a very short introductory material;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou do not want to work with several files;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou are looking for one narrow topic without practical exercises;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou do not prefer a format where you analyze code independently.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e5. What You'll Learn\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003edivide a Python task into logical blocks;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate functions with a clear purpose;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ework with data movement between code parts;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003euse dictionaries for structured information;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eread and create simple nested structures;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecombine input, processing, and output;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eorganize helper code in modules;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003enotice repetition and unnecessary parts;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eimprove the structure of already written code;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecomplete learning tasks with several connected parts;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003euse a checklist for code self-review.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e6. Return Terms\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e- 30-day money back \u003cbr\u003e- Risk-free\u003c\/p\u003e","brand":"Codarynirao","offers":[{"title":"Default Title","offer_id":55810540372353,"sku":null,"price":298.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0947\/9156\/5697\/files\/spark.jpg?v=1781694146"},{"product_id":"anchor-collection","title":"Anchor Collection","description":"\u003cp\u003e\u003cspan\u003e1. Problem Statement\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAt this stage of study, a learner may already work with functions, modules, and collections, but object-oriented thinking becomes a new challenge. Classes, objects, attributes, and methods may feel abstract when explained only through definitions. It is often unclear why a class is useful when a task can also be written with functions and dictionaries. It can also be difficult to see the difference between data stored inside an object and actions performed by that object. Anchor Collection is created to explain these topics through learning examples, simple scenarios, and a careful separation of concepts.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e2. Solution\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAnchor Collection explains object-oriented thinking in Python through simple models where each class has a clear role. The course shows how to create objects, add attributes, describe methods, and read interaction between code parts. The materials help learners understand when a class makes structure more convenient and when a function or dictionary is enough. Learners gradually study different ways to organize code and see how structure choices affect reading and changing a learning example. This tier is suitable for learners who want to study Python in more depth and move toward more complex learning models.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e3. What's Inside\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 1: Why Objects Matter in Python\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study why objects are useful, how they combine data and actions, and how they differ from regular dictionaries.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 2: Classes as Blueprints\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review how classes are created, what role they play, and how separate objects are made from a class.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 3: Attributes and Object State\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how objects store values, how their state changes, and why this matters for program logic.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 4: Methods and Object Behavior\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners see how methods describe object actions and how they work with internal data.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 5: Constructors and Initial Values\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how to set initial values, create objects with different parameters, and read creation logic.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 6: Working with Multiple Objects\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners practice working with several objects, comparing their values, and arranging them in collections.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 7: Class-Based Organization\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review how classes can help divide learning code into clear parts.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 8: Simple Inheritance Concepts\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners get familiar with the basic idea of inheritance and see how shared logic can move between classes.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 9: Reading Object-Oriented Code\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners practice reading examples where classes, objects, methods, and collections work together.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 10: Practice Lab: Small Object Model\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners complete a practical task by creating a small model based on classes, attributes, and methods.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 11: Comparing Approaches\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review when a function, dictionary, or class may fit a learning task.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 12: Review Notes and Structure Map\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners receive a short review of key concepts and a map of connections between classes, objects, and methods.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e4. Who is this for?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e✅ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eA good fit if you...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003ealready know functions, modules, and dictionaries;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to understand classes, objects, attributes, and methods;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to read object-oriented code more clearly;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eplan to work with broader learning tasks;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to see the difference between functions, dictionaries, and classes;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003evalue examples with gradual explanation.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e❌ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eNot a fit if...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eyou have not yet worked with functions and collections;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou only need an introductory course;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou do not want to study abstract Python concepts;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou are looking only for syntax materials without code models;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou do not prefer a format with independent exercises.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e5. What You'll Learn\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eunderstand the role of classes and objects in Python;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate simple classes;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eadd attributes to objects;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003edescribe methods for working with object data;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eset initial values through a constructor;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ework with several objects at the same time;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003estore objects in collections;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eread code with object-oriented structure;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecompare function-based and class-based approaches;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eunderstand the basic idea of inheritance;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate a small learning model with classes;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003euse a concept map for material review.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e6. Return Terms\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e- 30-day money back\u003cbr\u003e- Risk-free\u003c\/p\u003e","brand":"Codarynirao","offers":[{"title":"Default Title","offer_id":55810571436417,"sku":null,"price":398.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0947\/9156\/5697\/files\/anchor.jpg?v=1781694145"},{"product_id":"trail-collection","title":"Trail Collection","description":"\u003cp\u003e\u003cspan\u003e1. Problem Statement\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAfter studying classes, modules, and code structure, learners often need to work with more realistic learning scenarios. A learner may understand separate Python concepts, but still feel unsure when a task has several stages: read data, check it, process it, and show the result. File work may feel confusing when opening materials, reading lines, and saving changes are not explained carefully. Errors and exceptions can also seem too technical, even though they are an important part of careful coding work. Trail Collection is created to show how Python can work with data, files, and errors in an organized learning format.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e2. Solution\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eTrail Collection explains how to build learning-based Python scenarios where data moves through several processing stages. The course shows how to read files, work with text data, handle errors, and create code that is easier to check. The materials combine examples, exercises, and task reviews where structure, step order, and possible data issues need attention. Learners gradually study not only separate fragments, but also the full path of a small task. This tier is suitable for learners who want to move toward more practical Python topics without a sharp jump in difficulty.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e3. What's Inside\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 1: Working with Text Files\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how to open text files, read content, and understand the basic order of file work.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 2: Reading Data Line by Line\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners practice processing a file line by line, noticing repeated patterns, and selecting needed parts of text.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 3: Writing and Updating Files\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review how to create new files, write results, and work carefully with changes.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 4: Error Messages and Exceptions\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners get familiar with runtime errors, exceptions, and more careful reading of Python messages.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 5: Try and Except in Practice\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners see how to handle possible issues in learning scenarios and make code clearer for checking.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 6: Data Cleaning Basics\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how to remove extra spaces, check line format, and prepare simple data for further work.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 7: Combining Files, Lists, and Dictionaries\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners practice combining files with collections to store, change, and read data in a more convenient form.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 8: Small Data Processing Scenarios\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review tasks where information must be read, processed, and shaped into a clear result.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 9: Logging Study Notes\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how to keep simple notes about code execution, intermediate values, and checking stages.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 10: Practice Lab: File-Based Python Task\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners complete a task with file reading, line processing, data checking, and result writing.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 11: Review and Code Check\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners receive self-check questions: whether the step order is clear, whether errors are considered, and whether the logic is not mixed.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 12: Scenario Map\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners see a learning scenario map: input data, checking, processing, result, and code review.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e4. Who is this for?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e✅ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eA good fit if you...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003ealready know functions, collections, modules, and classes;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to work with text files;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to understand errors and exceptions more clearly;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to build tasks with several stages;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to practice simple data handling;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003evalue structured examples with step-order explanations.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e❌ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eNot a fit if...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eyou are not yet familiar with basic Python structures;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou only need a short introduction to the language;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou do not want to work with files or data;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou are looking for materials without practical tasks;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou do not yet need topics about errors, exceptions, and code checking.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e5. What You'll Learn\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eopen and read text files;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eprocess data line by line;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewrite results into a file;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eread error messages more carefully;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003euse the basic try and except structure;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003echeck simple data before processing;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eremove extra characters and text issues;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecombine files with lists and dictionaries;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ebuild learning scenarios with several stages;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate a simple data movement scheme;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eanalyze code before running it again;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecomplete a practical task with files and text handling.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e6. Return Terms\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e- 30-day money back\u003cbr\u003e- Risk-free\u003c\/p\u003e","brand":"Codarynirao","offers":[{"title":"Default Title","offer_id":55810577760641,"sku":null,"price":498.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0947\/9156\/5697\/files\/trail.jpg?v=1781694146"},{"product_id":"cloud-collection","title":"Cloud Collection","description":"\u003cp\u003e\u003cspan\u003e1. Problem Statement\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eAt later stages of learning Python, the main challenge is not one separate topic, but the combination of many concepts in one workflow. A learner may understand functions, lists, dictionaries, classes, or files separately, but feel unsure when these elements need to be arranged into one ordered learning task. Code can become longer, which creates a stronger need for clean structure, clear names, logical division, and careful checking. It is also important to learn how to read already written code, find weak points, and gradually improve its structure. Cloud Collection is created to bring previous topics into one full learning route with practical scenarios and final review.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e2. Solution\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eCloud Collection brings the main Python areas together in a structured course with ordered modules, examples, and practical tasks. The materials help learners see how data, functions, classes, files, and exceptions work together within one task. The course gradually moves from reviewing key concepts to building larger learning scenarios with several stages. Special attention is given to code reading, self-checking, file organization, and understanding data movement. This tier is suitable for learners who want a broad Codarynirao learning set in one route.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e3. What's Inside\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 1: Python Structure Review\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review key Python concepts: variables, data types, conditions, loops, and the basic order of code execution.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 2: Functions and Clear Logic\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how functions help divide a task into parts, pass values, and return a result.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 3: Collections in Real Tasks\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners work with lists, dictionaries, tuples, and sets in learning scenarios with data.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 4: Data Flow and Processing Steps\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners see how information moves between variables, functions, collections, and files.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 5: Modules and File Organization\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review how to divide code into several files, use imports, and create a clean folder structure.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 6: Object-Oriented Thinking\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review classes, objects, attributes, and methods through simple models and learning examples.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 7: Working with Files and Text Data\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how to read files, process lines, save results, and work with text information.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 8: Errors, Exceptions, and Careful Checking\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review error messages, basic exception handling, and ways to check code carefully.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 9: Refactoring and Code Review\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners study how to review written code, reduce repetition, clarify names, and make the structure easier to read.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 10: Multi-Step Python Scenarios\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners practice building tasks where data must be read, checked, processed, and shaped into a result.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 11: Practice Lab: Integrated Python Task\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners complete a practical task that combines functions, collections, modules, files, and basic error handling.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 12: Practice Lab: Object and Data Model\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners create a learning model with classes, objects, collections, and several connected actions.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 13: Project Structure Map\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners receive a scheme for organizing a learning-based Python project: folders, files, helper parts, and main logic.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 14: Final Review and Self-Check\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e — learners review the key course topics, complete self-check questions, and build a personal review map.\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e4. Who is this for?\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e✅ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eA good fit if you...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003ealready know Python basics and want a broader learning route;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to review functions, collections, modules, classes, files, and errors in one course;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to understand how different Python parts work together;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant to complete learning tasks with several stages;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003evalue structured materials, examples, and self-checking;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ewant a fuller Codarynirao topic set in one tier.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e❌ \u003c\/span\u003e\u003cstrong\u003e\u003cspan\u003eNot a fit if...\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eyou are not yet familiar with basic Python concepts;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou only need a short introductory material;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou do not plan to complete practical tasks;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou are looking for a narrow course about only one topic;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ea longer learning route does not fit your current needs;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eyou do not want to work with files, classes, or multi-step tasks.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e5. What You'll Learn\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003ereview the basic structure of Python code;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate functions and use them in broader tasks;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ework with different data collections;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003efollow data movement between code parts;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eorganize code in files and modules;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ework with classes, objects, attributes, and methods;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eread and process text files;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003euse basic exception handling;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ereview your own code and improve its structure;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ebuild learning scenarios with several stages;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecombine functions, collections, files, modules, and classes;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecreate a structure map for a small Python project;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003ecomplete self-checks after large topics;\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eprepare a personal material review plan.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cspan\u003e6. Return Terms\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e- 30-day money back \u003cbr\u003e- Risk-free\u003c\/p\u003e","brand":"Codarynirao","offers":[{"title":"Default Title","offer_id":55810578743681,"sku":null,"price":598.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0947\/9156\/5697\/files\/cloud.jpg?v=1781694146"}],"url":"https:\/\/codarynirao.org\/collections\/frontpage.oembed","provider":"Codarynirao","version":"1.0","type":"link"}