en
Feedback
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Open in Telegram

Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

Show more

๐Ÿ“ˆ Analytical overview of Telegram channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) in the English language segment is an active participant. Currently, the community unites 56 107 subscribers, ranking 2 375 in the Technologies & Applications category and 6 527 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 56 107 subscribers.

According to the latest data from 09 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 105 over the last 30 days and by 12 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.63%. Within the first 24 hours after publication, content typically collects 0.84% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 473 views. Within the first day, a publication typically gains 470 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as algorithm, structure, stack, javascript, programming.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œEverything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_dataโ€

Thanks to the high frequency of updates (latest data received on 10 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

56 107
Subscribers
+1224 hours
+527 days
+10530 days
Posts Archive
๐—›๐—ฎ๐—ฟ๐˜ƒ๐—ฎ๐—ฟ๐—ฑ ๐—๐˜‚๐˜€๐˜ ๐—ฅ๐—ฒ๐—น๐—ฒ๐—ฎ๐˜€๐—ฒ๐—ฑ ๐Ÿฑ ๐—™๐—ฅ๐—˜๐—˜ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ฌ๐—ผ๐˜‚ ๐—–๐—ฎ๐—ปโ€™๐˜ ๐— ๐—ถ๐˜€๐˜€ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ!๐Ÿ˜ ๐Ÿšจ Ha
๐—›๐—ฎ๐—ฟ๐˜ƒ๐—ฎ๐—ฟ๐—ฑ ๐—๐˜‚๐˜€๐˜ ๐—ฅ๐—ฒ๐—น๐—ฒ๐—ฎ๐˜€๐—ฒ๐—ฑ ๐Ÿฑ ๐—™๐—ฅ๐—˜๐—˜ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ฌ๐—ผ๐˜‚ ๐—–๐—ฎ๐—ปโ€™๐˜ ๐— ๐—ถ๐˜€๐˜€ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ!๐Ÿ˜ ๐Ÿšจ Harvard just dropped 5 FREE online tech courses โ€” no fees, no catches!๐Ÿ“Œ Whether youโ€™re just starting out or upskilling for a tech career, this is your chance to learn from one of the worldโ€™s top universities โ€” for FREE. ๐ŸŒ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4eA368I ๐Ÿ’กLearn at your own pace, earn certificates, and boost your resumeโœ…๏ธ

๐Ÿ™๐Ÿ’ธ 500$ FOR THE FIRST 500 WHO JOIN THE CHANNEL! ๐Ÿ™๐Ÿ’ธ Join our channel today for free! Tomorrow it will cost 500$! https://t
๐Ÿ™๐Ÿ’ธ 500$ FOR THE FIRST 500 WHO JOIN THE CHANNEL! ๐Ÿ™๐Ÿ’ธ Join our channel today for free! Tomorrow it will cost 500$! https://t.me/+rzD3ZbicEFswMmU9 You can join at this link! ๐Ÿ‘†๐Ÿ‘‡ https://t.me/+rzD3ZbicEFswMmU9

Essential Programming Languages to Learn Data Science ๐Ÿ‘‡๐Ÿ‘‡ 1. Python: Python is one of the most popular programming languages for data science due to its simplicity, versatility, and extensive library support (such as NumPy, Pandas, and Scikit-learn). 2. R: R is another popular language for data science, particularly in academia and research settings. It has powerful statistical analysis capabilities and a wide range of packages for data manipulation and visualization. 3. SQL: SQL (Structured Query Language) is essential for working with databases, which are a critical component of data science projects. Knowledge of SQL is necessary for querying and manipulating data stored in relational databases. 4. Java: Java is a versatile language that is widely used in enterprise applications and big data processing frameworks like Apache Hadoop and Apache Spark. Knowledge of Java can be beneficial for working with large-scale data processing systems. 5. Scala: Scala is a functional programming language that is often used in conjunction with Apache Spark for distributed data processing. Knowledge of Scala can be valuable for building high-performance data processing applications. 6. Julia: Julia is a high-performance language specifically designed for scientific computing and data analysis. It is gaining popularity in the data science community due to its speed and ease of use for numerical computations. 7. MATLAB: MATLAB is a proprietary programming language commonly used in engineering and scientific research for data analysis, visualization, and modeling. It is particularly useful for signal processing and image analysis tasks. Free Resources to master data analytics concepts ๐Ÿ‘‡๐Ÿ‘‡ Data Analysis with R Intro to Data Science Practical Python Programming SQL for Data Analysis Java Essential Concepts Machine Learning with Python Data Science Project Ideas Learning SQL FREE Book Join @free4unow_backup for more free resources. ENJOY LEARNING๐Ÿ‘๐Ÿ‘

๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—™๐—ฅ๐—˜๐—˜ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐—ช๐—ฒ๐—ฏ๐—ถ๐—ป๐—ฎ๐—ฟ | ๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ˜ A Guide to a Career in Data
๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—™๐—ฅ๐—˜๐—˜ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐—ช๐—ฒ๐—ฏ๐—ถ๐—ป๐—ฎ๐—ฟ | ๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ˜  A Guide to a Career in Data Science : Tools, Skills, and Career Fundamentals - Learn how How MAANG Companies Use Data Science in Their Daily Business - Get a step-by-step guide on how to start building the expertise companies are hiring for. Eligibility :- Students,Freshers & Woking Professionals  ๐‘๐ž๐ ๐ข๐ฌ๐ญ๐ž๐ซ ๐…๐จ๐ซ ๐…๐‘๐„๐„ ๐Ÿ‘‡:- https://pdlink.in/3TwjLjZ (Limited Slots ..HurryUp๐Ÿƒโ€โ™‚๏ธ )  ๐ƒ๐š๐ญ๐ž & ๐“๐ข๐ฆ๐ž:-  July 11, 2025 , at 7 PM

๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—๐—ฎ๐˜ƒ๐—ฎ ๐˜๐—ต๐—ฒ ๐—˜๐—ฎ๐˜€๐˜† ๐—ช๐—ฎ๐˜†?๐Ÿ˜ Learning Java doesnโ€™t have to be overwhelmingโœจ๏ธ Whether youโ€™re pr
๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—๐—ฎ๐˜ƒ๐—ฎ ๐˜๐—ต๐—ฒ ๐—˜๐—ฎ๐˜€๐˜† ๐—ช๐—ฎ๐˜†?๐Ÿ˜ Learning Java doesnโ€™t have to be overwhelmingโœจ๏ธ Whether youโ€™re preparing for placements, brushing up for coding interviews, or just starting your programming journey, these 4 free playlists are your shortcut to success! ๐Ÿš€ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/401OSrs ๐Ÿ’ซPro Tip:- Start with any one playlist and stay consistent. Java gets easier when you code along, build mini-projects, and revise concepts regularlyโœ…๏ธ

๐ŸŽ“ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ & ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ - ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿ˜ Unlock the p
๐ŸŽ“ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ & ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ - ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿ˜ Unlock the power of data and launch your tech career with this FREE industry-relevant certification! ๐Ÿ“˜ What Youโ€™ll Learn: - Introduction to Data Science & Analytics - Database Management Essentials - Big Data Applications in Real World - Data Science for Absolute Beginners - Evolution & Impact of Big Data Analytics ๐‹๐ข๐ง๐ค ๐Ÿ‘‡:-  https://pdlink.in/4l3nFx0 ๐Ÿš€ Start Learning Now โ€“ 100% Free! ๐Ÿ“œ Get Certified & Boost Your Career!

Here are some common frontend interview questions along with brief answers: 1. What is the DOM (Document Object Model)? - Answer: The DOM is a programming interface for web documents. It represents the structure of a web page and allows scripts to dynamically access and update the content, structure, and style of a webpage. 2. Explain the difference between null and undefined in JavaScript. - Answer: null represents the intentional absence of any object value, while undefined represents a variable that has been declared but has not been assigned a value. 3. What are closures in JavaScript? - Answer: Closures are functions that remember the scope in which they were created, even after that scope has exited. They have access to variables from their containing function's scope. 4. Describe the differences between CSS Grid and Flexbox. - Answer: CSS Grid is a two-dimensional layout system, while Flexbox is one-dimensional. Grid is used for overall layout structure, while Flexbox is ideal for distributing space and aligning items within a container along a single axis. 5. What is responsive web design, and how do you achieve it? - Answer: Responsive web design is an approach to design and coding that makes web pages render well on various devices and screen sizes. Achieve it through media queries, flexible grids, and fluid images. 6. Explain the "box model" in CSS. - Answer: The box model describes how elements on a web page are rendered. It consists of content, padding, border, and margin, and these properties determine the element's total size. 7. How does the event delegation work in JavaScript? - Answer: Event delegation is a technique where you attach a single event listener to a common ancestor of multiple elements instead of attaching listeners to each element individually. Events that bubble up from child elements can be handled by the ancestor. 8. What is the purpose of the localStorage and sessionStorage objects in JavaScript? - Answer: Both localStorage and sessionStorage allow you to store key-value pairs in a web browser. The key difference is that data stored in localStorage persists even after the browser is closed, whereas data in sessionStorage is cleared when the session ends (e.g., when the browser is closed). 9. Explain the same-origin policy in the context of web security. - Answer: The same-origin policy is a security measure that restricts web pages from making requests to a different domain (protocol, port, or host) than the one that served the web page. It helps prevent cross-site request forgery (CSRF) and other security vulnerabilities. 10. What are the benefits of using a CSS preprocessor like Sass or Less? - Answer: CSS preprocessors provide benefits such as variables, nesting, functions, and mixins, which enhance code reusability, maintainability, and organization. They allow you to write cleaner and more efficient CSS. Web Development Best Resources: https://topmate.io/coding/930165 ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—œ๐—ป-๐——๐—ฒ๐—บ๐—ฎ๐—ป๐—ฑ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ โ€” ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ โ€” ๐——๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜๐—น๐˜† ๐—ณ๐—ฟ๐—ผ๐—บ ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ?๏ฟฝ
๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—œ๐—ป-๐——๐—ฒ๐—บ๐—ฎ๐—ป๐—ฑ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ โ€” ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ โ€” ๐——๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜๐—น๐˜† ๐—ณ๐—ฟ๐—ผ๐—บ ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ?๐Ÿ˜ Whether youโ€™re a student, job seeker, or just hungry to upskill โ€” these 5 beginner-friendly courses are your golden ticket๐ŸŽŸ๏ธ No fluff. No fees. Just career-boosting knowledge and certificates that make your resume popโœจ๏ธ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/42vL6br Enjoy Learning โœ…๏ธ

Top 40 commonly asked DSA questions : ๐—”๐—ฟ๐—ฟ๐—ฎ๐˜†๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ฆ๐˜๐—ฟ๐—ถ๐—ป๐—ด๐˜€: 1. Find the missing number in an array of integers. 2. Implement an algorithm to rotate an array. 3. Check if a string is a palindrome. 4. Find the first non-repeating character in a string. 5. Implement an algorithm to reverse a linked list. 6. Merge two sorted arrays. 7. Implement a stack using arrays/linked list. 8. Write a program to remove duplicates from a sorted array. ๐—Ÿ๐—ถ๐—ป๐—ธ๐—ฒ๐—ฑ ๐—Ÿ๐—ถ๐˜€๐˜๐˜€: 1. Detect a cycle in a linked list. 2. Find the intersection point of two linked lists. 3. Reverse a linked list in groups of k. 4. Implement a function to add two numbers represented by linked lists. 5. Clone a linked list with next and random pointer. ๐—ง๐—ฟ๐—ฒ๐—ฒ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—•๐—ถ๐—ป๐—ฎ๐—ฟ๐˜† ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—ง๐—ฟ๐—ฒ๐—ฒ๐˜€ (๐—•๐—ฆ๐—ง): 1. Find the height of a binary tree. 2. Check if a binary tree is balanced. 3. Find the lowest common ancestor in a binary tree. 4. Serialize and deserialize a binary tree. 5. Implement an algorithm for in-order traversal without recursion. 6. Convert a BST to a sorted doubly linked list. You can check these amazing resources for DSA Preparation All the best ๐Ÿ‘๐Ÿ‘

๐Ÿฏ๐Ÿฌ+ ๐—™๐—ฅ๐—˜๐—˜ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ๐—”๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€๐Ÿ˜ India's Biggest AI Challenge (13th To 15t
๐Ÿฏ๐Ÿฌ+ ๐—™๐—ฅ๐—˜๐—˜ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ๐—”๐—œ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€๐Ÿ˜ India's Biggest AI Challenge (13th To 15th July ) , Earn Free certificates & Boost your resume! ๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ‘‡:-  https://pdlink.in/3Gx7lW7 Enroll For FREE & Become an AI Champion๐Ÿ†

๐—ฃ๐—ฟ๐—ฒ๐—ฝ๐—ฎ๐—ฟ๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ ๐—ฃ๐—น๐—ฎ๐—ฐ๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐˜€, ๐—–๐—ผ๐—บ๐—ฝ๐—ฒ๐˜๐—ถ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—˜๐˜…๐—ฎ๐—บ๐˜€, ๐—ผ๐—ฟ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„๐˜€?๐Ÿ˜ ๐Ÿ’ผ W
๐—ฃ๐—ฟ๐—ฒ๐—ฝ๐—ฎ๐—ฟ๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ ๐—ฃ๐—น๐—ฎ๐—ฐ๐—ฒ๐—บ๐—ฒ๐—ป๐˜๐˜€, ๐—–๐—ผ๐—บ๐—ฝ๐—ฒ๐˜๐—ถ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—˜๐˜…๐—ฎ๐—บ๐˜€, ๐—ผ๐—ฟ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„๐˜€?๐Ÿ˜ ๐Ÿ’ผ Whether youโ€™re a final-year student, a job seeker, or a professional brushing up before your next big opportunity โ€” this 100% FREE platform is your go-to resourceโœจ๏ธ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3IcBESu ๐Ÿ”ฅPro Tip:- Make it a habit to solve 10โ€“20 questions daily โ€” and youโ€™ll start noticing patterns, improving speed, & gaining confidence๐Ÿ’ชโœ…๏ธ

๐—ง๐—ผ๐—ฝ ๐— ๐—ก๐—–๐˜€ ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜๐˜€ | ๐—”๐—ฝ๐—ฝ๐—น๐˜† ๐—ก๐—ผ๐˜„๐Ÿ˜ - Infosys - Genpact - IBM - Virtusa - S&P Global
๐—ง๐—ผ๐—ฝ ๐— ๐—ก๐—–๐˜€ ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜๐˜€ | ๐—”๐—ฝ๐—ฝ๐—น๐˜† ๐—ก๐—ผ๐˜„๐Ÿ˜ - Infosys - Genpact - IBM - Virtusa - S&P Global Job Location:- Across India Qualification:- Graduate/Post Graduate Salary Range :- 5 To 21LPA ๐—”๐—ฝ๐—ฝ๐—น๐˜† ๐—ก๐—ผ๐˜„๐Ÿ‘‡ :-  https://bit.ly/44qMX2k Select your experience & Complete The Registration Process  Once your profile shortlisted , you will get call letter from recruiters

How to get started with data science Many people who get interested in learning data science don't really know what it's all about. They start coding just for the sake of it and on first challenge or problem they can't solve, they quit. Just like other disciplines in tech, data science is challenging and requires a level of critical thinking and problem solving attitude. If you're among people who want to get started with data science but don't know how - I have something amazing for you! I created Best Data Science & Machine Learning Resources that will help you organize your career in data. Happy learning ๐Ÿ˜„๐Ÿ˜„

๐Ÿญ๐Ÿฑ-๐——๐—ฎ๐˜† ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ฅ๐—ผ๐—ฎ๐—ฑ๐—บ๐—ฎ๐—ฝ ๐˜„๐—ถ๐˜๐—ต ๐—™๐—ฅ๐—˜๐—˜ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€!๐Ÿ˜ Want to master Python but donโ€™t know where to
๐Ÿญ๐Ÿฑ-๐——๐—ฎ๐˜† ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ฅ๐—ผ๐—ฎ๐—ฑ๐—บ๐—ฎ๐—ฝ ๐˜„๐—ถ๐˜๐—ต ๐—™๐—ฅ๐—˜๐—˜ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€!๐Ÿ˜ Want to master Python but donโ€™t know where to start? ๐Ÿค” Hereโ€™s a structured 15-day roadmap with handpicked FREE resources to help you learn Python from scratch!๐Ÿ‘จโ€๐Ÿ’ป๐Ÿ“Œ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3Xrs6rr โœจ๏ธBonus: Includes FREE tutorials, YouTube playlists, and coding exercises!โœ…๏ธ