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Python Projects & Free Books

Python Projects & Free Books

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Python Interview Projects & Free Courses Admin: @Coderfun

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๐Ÿ“ˆ Analytical overview of Telegram channel Python Projects & Free Books

Channel Python Projects & Free Books (@pythonfreebootcamp) in the English language segment is an active participant. Currently, the community unites 40 908 subscribers, ranking 3 337 in the Technologies & Applications category and 10 047 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 40 908 subscribers.

According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 175 over the last 30 days and by 29 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.03%. Within the first 24 hours after publication, content typically collects 0.77% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 649 views. Within the first day, a publication typically gains 314 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
  • Thematic interests: Content is focused on key topics such as learning, analyst, framework, link:-, structure.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œPython Interview Projects & Free Courses Admin: @Coderfunโ€

Thanks to the high frequency of updates (latest data received on 06 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.

40 908
Subscribers
+2924 hours
+517 days
+17530 days
Posts Archive
Pie chart using Seaborn
Pie chart using Seaborn

Pie chart using Plotly
Pie chart using Plotly

Pie chart using Matplotlib
Pie chart using Matplotlib

Pie chart plot using Python - Data Science

๐—ง๐—ผ๐—ฝ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—•๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€๐Ÿ˜ Python is one of the most versatile and in-demand pro
๐—ง๐—ผ๐—ฝ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—•๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€๐Ÿ˜ Python is one of the most versatile and in-demand programming languages today. Whether youโ€™re a beginner or looking to refresh your coding skills, these beginner-friendly courses will guide you step by step. ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ‘‡:- https://pdlink.in/4gG4k2q All The Best ๐ŸŽ‰

Hey guys, Since many of you were asking me to send Free Sessions to learn Artificial Intelligence & Machine Learning ๐Ÿ“ŒSo we have come with a FREE webinar for you!! ๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป ๐Ÿ‘ฉ๐Ÿปโ€๐Ÿ’ป Register here ๐Ÿ‘‡๐Ÿ‘‡ https://link.guvi.in/getjobss01502 This will help you to speed up your job hunting process ๐Ÿ’ช ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

Complete Roadmap to Learn Python Programming in 2025 Beginner Level 1. Basics of Python - Understanding syntax and basic concepts - Variables and data types - Basic operators and expressions - Input and output functions - Conditional statements (if, elif, else) - Loops (for, while) 2. Data Structures - Lists - Tuples - Sets - Dictionaries 3. Functions and Modules - Defining and calling functions - Arguments and return values - Lambda functions - Built-in modules and importing external modules Intermediate Level 4. File Handling - Reading from and writing to files - Working with CSV, JSON, and other file formats 5. Object-Oriented Programming (OOP) - Classes and objects - Methods and constructors - Inheritance and polymorphism - Encapsulation and abstraction 6. Error Handling and Exceptions - Try, except, finally blocks - Raising exceptions - Custom exceptions 7. Libraries and Frameworks - Understanding and using popular libraries (NumPy, Pandas, Matplotlib) - Introduction to web frameworks (Flask, Django) Advanced Level 8. Advanced Concepts - Decorators - Generators - Context managers 9. Working with Databases - SQL and NoSQL databases - ORM (Object-Relational Mapping) with SQLAlchemy or Django ORM 10. Web Development - Full-stack development with Django or Flask - RESTful APIs and backend services 11. Data Science and Machine Learning - Data analysis with Pandas - Data visualization with Matplotlib and Seaborn - Machine learning with Scikit-Learn and TensorFlow Tools and Best Practices 12. Version Control - Using Git and GitHub for version control - Collaboration and branching strategies 13. Testing and Debugging - Unit testing with Unittest or PyTest - Debugging techniques and tools 14. Development Environment - Setting up IDEs (PyCharm, VS Code) - Virtual environments and dependency management 15. Code Quality - Writing clean and efficient code - Adhering to PEP 8 standards - Code reviews and refactoring Best Resource to learn Python Python Interview Questions with Answers Freecodecamp Python ML Course with FREE Certificate Python for Data Analysis Python course for beginners by Microsoft Scientific Computing with Python Python course by Google Python Free Resources Please give us credits while sharing: -> https://t.me/free4unow_backup ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

๐—™๐—ฅ๐—˜๐—˜ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—œ๐—บ๐—ฝ๐—ฟ๐—ผ๐˜ƒ๐—ฒ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€๐—ฒ๐˜ ๐Ÿ˜ โœ… Artificial Intelligence โ€“ Master AI & Mac
๐—™๐—ฅ๐—˜๐—˜ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—œ๐—บ๐—ฝ๐—ฟ๐—ผ๐˜ƒ๐—ฒ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€๐—ฒ๐˜ ๐Ÿ˜ โœ… Artificial Intelligence โ€“ Master AI & Machine Learning โœ… Blockchain โ€“ Understand decentralization & smart contracts๐Ÿ’ฐ โœ… Cloud Computing โ€“ Learn AWS, Azure&cloud infrastructure โ˜ โœ… Web 3.0 โ€“ Explore the future of the Internet &Apps ๐ŸŒ ๐‹๐ข๐ง๐ค ๐Ÿ‘‡:-  https://pdlink.in/4aM1QO0 Enroll For FREE & Get Certified ๐ŸŽ“

Guide to Building an AI Agent 1๏ธโƒฃ ๐—–๐—ต๐—ผ๐—ผ๐˜€๐—ฒ ๐˜๐—ต๐—ฒ ๐—ฅ๐—ถ๐—ด๐—ต๐˜ ๐—Ÿ๐—Ÿ๐—  Not all LLMs are equal. Pick one that: - Excels in reasoning benchmarks - Supports chain-of-thought (CoT) prompting - Delivers consistent responses ๐Ÿ“Œ Tip: Experiment with models & fine-tune prompts to enhance reasoning. 2๏ธโƒฃ ๐——๐—ฒ๐—ณ๐—ถ๐—ป๐—ฒ ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜โ€™๐˜€ ๐—–๐—ผ๐—ป๐˜๐—ฟ๐—ผ๐—น ๐—Ÿ๐—ผ๐—ด๐—ถ๐—ฐ Your agent needs a strategy: - Tool Use: Call tools when needed; otherwise, respond directly. - Basic Reflection: Generate, critique, and refine responses. - ReAct: Plan, execute, observe, and iterate. - Plan-then-Execute: Outline all steps first, then execute. ๐Ÿ“Œ Choosing the right approach improves reasoning & reliability. 3๏ธโƒฃ ๐——๐—ฒ๐—ณ๐—ถ๐—ป๐—ฒ ๐—–๐—ผ๐—ฟ๐—ฒ ๐—œ๐—ป๐˜€๐˜๐—ฟ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€ & ๐—™๐—ฒ๐—ฎ๐˜๐˜‚๐—ฟ๐—ฒ๐˜€ Set operational rules: - How to handle unclear queries? (Ask clarifying questions) - When to use external tools? - Formatting rules? (Markdown, JSON, etc.) - Interaction style? ๐Ÿ“Œ Clear system prompts shape agent behavior. 4๏ธโƒฃ ๐—œ๐—บ๐—ฝ๐—น๐—ฒ๐—บ๐—ฒ๐—ป๐˜ ๐—ฎ ๐— ๐—ฒ๐—บ๐—ผ๐—ฟ๐˜† ๐—ฆ๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐˜† LLMs forget past interactions. Memory strategies: - Sliding Window: Retain recent turns, discard old ones. - Summarized Memory: Condense key points for recall. - Long-Term Memory: Store user preferences for personalization. ๐Ÿ“Œ Example: A financial AI recalls risk tolerance from past chats. 5๏ธโƒฃ ๐—˜๐—พ๐˜‚๐—ถ๐—ฝ ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ผ๐—ผ๐—น๐˜€ & ๐—”๐—ฃ๐—œ๐˜€ Extend capabilities with external tools: - Name: Clear, intuitive (e.g., "StockPriceRetriever") - Description: What does it do? - Schemas: Define input/output formats - Error Handling: How to manage failures? ๐Ÿ“Œ Example: A support AI retrieves order details via CRM API. 6๏ธโƒฃ ๐——๐—ฒ๐—ณ๐—ถ๐—ป๐—ฒ ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜โ€™๐˜€ ๐—ฅ๐—ผ๐—น๐—ฒ & ๐—ž๐—ฒ๐˜† ๐—ง๐—ฎ๐˜€๐—ธ๐˜€ Narrowly defined agents perform better. Clarify: - Mission: (e.g., "I analyze datasets for insights.") - Key Tasks: (Summarizing, visualizing, analyzing) - Limitations: ("I donโ€™t offer legal advice.") ๐Ÿ“Œ Example: A financial AI focuses on finance, not general knowledge. 7๏ธโƒฃ ๐—›๐—ฎ๐—ป๐—ฑ๐—น๐—ถ๐—ป๐—ด ๐—ฅ๐—ฎ๐˜„ ๐—Ÿ๐—Ÿ๐—  ๐—ข๐˜‚๐˜๐—ฝ๐˜‚๐˜๐˜€ Post-process responses for structure & accuracy: - Convert AI output to structured formats (JSON, tables) - Validate correctness before user delivery - Ensure correct tool execution ๐Ÿ“Œ Example: A financial AI converts extracted data into JSON. 8๏ธโƒฃ ๐—ฆ๐—ฐ๐—ฎ๐—น๐—ถ๐—ป๐—ด ๐˜๐—ผ ๐— ๐˜‚๐—น๐˜๐—ถ-๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ (๐—”๐—ฑ๐˜ƒ๐—ฎ๐—ป๐—ฐ๐—ฒ๐—ฑ) For complex workflows: - Info Sharing: What context is passed between agents? - Error Handling: What if one agent fails? - State Management: How to pause/resume tasks? ๐Ÿ“Œ Example: 1๏ธโƒฃ One agent fetches data 2๏ธโƒฃ Another summarizes 3๏ธโƒฃ A third generates a report Master the fundamentals, experiment, and refine and.. now go build something amazing!

๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ 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˜ - Artificial Intelligence for Beginners - Data Scien
๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ 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˜ - Artificial Intelligence for Beginners - Data Science for Beginners - Machine Learning for Beginners   ๐‹๐ข๐ง๐ค ๐Ÿ‘‡:-  https://pdlink.in/40OgK1w Enroll For FREE & Get Certified ๐ŸŽ“

Python from scratch by University of Waterloo 0. Introduction 1. First steps 2. Built-in functions 3. Storing and using information 4. Creating functions 5. Booleans 6. Branching 7. Building better programs 8. Iteration using while 9. Storing elements in a sequence 10. Iteration using for 11. Bundling information into objects 12. Structuring data 13. Recursion https://open.cs.uwaterloo.ca/python-from-scratch/ #python

๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€, ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป, ๐—”๐—œ & ๐—ฆ๐—ค๐—Ÿ ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ ๐˜„๐—ถ๐˜๐—ต ๐—œ๐—•๐— !๐Ÿ˜ Want to break into t
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€, ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป, ๐—”๐—œ & ๐—ฆ๐—ค๐—Ÿ ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ ๐˜„๐—ถ๐˜๐—ต ๐—œ๐—•๐— !๐Ÿ˜ Want to break into tech or level up your skills?๐Ÿ’ก โœ… Data Analytics: Analyze & visualize data like a pro โœ… Python: The most in-demand programming language โœ… AI & Machine Learning: Build smart applications โœ… SQL: Work with databases & extract insights ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/40F7YTD ๐Ÿ”ฅ Start your journey today!

Python Iterators ๐Ÿ‘†
Python Iterators ๐Ÿ‘†

๐—ง๐—ผ๐—ฝ ๐Ÿฑ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ 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˜ 1)Data Science Foundations 2)SQL for
๐—ง๐—ผ๐—ฝ ๐Ÿฑ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ 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˜ 1)Data Science Foundations 2)SQL for Data Science 3)Python for Data Science 4)Introduction to Data Science 5)Data Science Projects  ๐‹๐ข๐ง๐ค ๐Ÿ‘‡:-  https://pdlink.in/4hDFv7E Enroll For FREE & Get Certified ๐ŸŽ“

๐—ง๐—ฎ๐˜๐—ฎ ๐—š๐—ฟ๐—ผ๐˜‚๐—ฝ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐˜€๐Ÿ˜ TCS plans to hire 40,000 trainees in 2025
๐—ง๐—ฎ๐˜๐—ฎ ๐—š๐—ฟ๐—ผ๐˜‚๐—ฝ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐˜€๐Ÿ˜ TCS plans to hire 40,000 trainees in 2025, here are these 3 virtual internships by Tata Group that you can take which will take roughly 4-6 hours to complete. After completing this internship you will get a free certificate that you can add in your resume which will help to increase your chances of getting hired.  ๐‹๐ข๐ง๐ค ๐Ÿ‘‡:-  https://pdlink.in/40Ej1MM Enroll For FREE & Get Certified ๐ŸŽ“

โŒจ๏ธ Piechart using matplotlib in Python
โŒจ๏ธ Piechart using matplotlib in Python

๐Ÿญ๐Ÿฌ๐Ÿฌ% ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ถ๐˜๐—ถ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐˜€ ๐Ÿ˜ ๐Ÿš€ 100% Free โ€“ No hidden costs, no ap
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Python Cheatsheet โœ…
Python Cheatsheet โœ…

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