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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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Python Projects & Free Books (@pythonfreebootcamp) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 915 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 337-o'rinni va Hindiston mintaqasida 10 047-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 40 915 obunachiga ega boโ€˜ldi.

05 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 175 ga, soโ€˜nggi 24 soatda esa 29 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 4.03% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.77% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 1 649 marta koโ€˜riladi; birinchi sutkada odatda 314 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 5 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent learning, analyst, framework, link:-, structure kabi asosiy mavzularga jamlangan.

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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œPython Interview Projects & Free Courses Admin: @Coderfunโ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 07 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

40 915
Obunachilar
+2924 soatlar
+517 kunlar
+17530 kunlar
Postlar arxiv
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
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 application fees ๐Ÿ“œ Get a Verified Certificate โ€“ Add it to your LinkedIn & Resume ๐ŸŽ“ Learn from Citi Experts โ€“ Industry-backed training ๐Ÿ“Š Real-World Projects โ€“ Gain hands-on experience โณ Self-Paced Learning ๐‹๐ข๐ง๐ค๐Ÿ‘‡ :-  https://pdlink.in/40SGpYf Enroll For FREE & Get Certified๐ŸŽ“

Python Cheatsheet โœ…
Python Cheatsheet โœ…

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7 Baby steps to learn Python: 1. Learn the basics: Start with the fundamentals of Python programming language, such as data types, variables, operators, control structures, and functions. 2. Write simple programs: Start writing simple programs to practice what you have learned. Start with small programs that solve basic problems, such as calculating the factorial of a number, checking whether a number is prime or not, or finding the sum of a sequence of numbers. 3. Work on small projects: Start working on small projects that interest you. These can be simple projects, such as creating a calculator, building a basic game, or automating a task. By working on small projects, you can develop your programming skills and gain confidence. 4. Learn from other people's code: Look at other people's code and try to understand how it works. You can find many open-source projects on platforms like GitHub. Analyze the code, see how it's structured, and try to figure out how the program works. 5. Read Python documentation: Python has extensive documentation, which is very helpful for beginners. Read the documentation to learn more about Python libraries, modules, and functions. 6. Participate in online communities: Participate in online communities like StackOverflow, Reddit, or Python forums. These communities have experienced programmers who can help you with your doubts and questions. 7. Keep practicing: Practice is the key to becoming a good programmer. Keep working on projects, practicing coding problems, and experimenting with different techniques. The more you practice, the better you'll get. 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‘