Python Projects & Free Books
前往频道在 Telegram
📈 Telegram 频道 Python Projects & Free Books 的分析概览
频道 Python Projects & Free Books (@pythonfreebootcamp) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 40 915 名订阅者,在 技术与应用 类别中位列第 3 337,并在 印度 地区排名第 10 047 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 40 915 名订阅者。
根据 05 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 175,过去 24 小时变化为 29,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 4.03%。内容发布后 24 小时内通常能获得 0.77% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 649 次浏览,首日通常累积 314 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 5。
- 主题关注点: 内容集中在 learning, analyst, framework, link:-, structure 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“Python Interview Projects & Free Courses
Admin: @Coderfun”
凭借高频更新(最新数据采集于 07 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。
40 915
订阅者
+2924 小时
+517 天
+17530 天
帖子存档
𝗧𝗼𝗽 𝗙𝗿𝗲𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀😍
Python is one of the most versatile and in-demand programming languages today.
Whether you’re a beginner or looking to refresh your coding skills, these beginner-friendly courses will guide you step by step.
𝗟𝗲𝗮𝗿𝗻 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-
https://pdlink.in/4gG4k2q
All The Best 🎉
Hey guys,
Since many of you were asking me to send Free Sessions to learn Artificial Intelligence & Machine Learning
📌So we have come with a FREE webinar for you!! 👨🏻💻 👩🏻💻
Register here
👇👇
https://link.guvi.in/getjobss01502
This will help you to speed up your job hunting process 💪
ENJOY LEARNING 👍👍
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 👍👍
𝗙𝗥𝗘𝗘 𝗧𝗲𝗰𝗵 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗜𝗺𝗽𝗿𝗼𝘃𝗲 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀𝗲𝘁 😍
✅ Artificial Intelligence – Master AI & Machine Learning
✅ Blockchain – Understand decentralization & smart contracts💰
✅ Cloud Computing – Learn AWS, Azure&cloud infrastructure ☁
✅ Web 3.0 – Explore the future of the Internet &Apps 🌐
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4aM1QO0
Enroll For FREE & Get Certified 🎓
Guide to Building an AI Agent
1️⃣ 𝗖𝗵𝗼𝗼𝘀𝗲 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗟𝗟𝗠
Not all LLMs are equal. Pick one that:
- Excels in reasoning benchmarks
- Supports chain-of-thought (CoT) prompting
- Delivers consistent responses
📌 Tip: Experiment with models & fine-tune prompts to enhance reasoning.
2️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁’𝘀 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗟𝗼𝗴𝗶𝗰
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.
📌 Choosing the right approach improves reasoning & reliability.
3️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝗖𝗼𝗿𝗲 𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻𝘀 & 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀
Set operational rules:
- How to handle unclear queries? (Ask clarifying questions)
- When to use external tools?
- Formatting rules? (Markdown, JSON, etc.)
- Interaction style?
📌 Clear system prompts shape agent behavior.
4️⃣ 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗮 𝗠𝗲𝗺𝗼𝗿𝘆 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆
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.
📌 Example: A financial AI recalls risk tolerance from past chats.
5️⃣ 𝗘𝗾𝘂𝗶𝗽 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗧𝗼𝗼𝗹𝘀 & 𝗔𝗣𝗜𝘀
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?
📌 Example: A support AI retrieves order details via CRM API.
6️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁’𝘀 𝗥𝗼𝗹𝗲 & 𝗞𝗲𝘆 𝗧𝗮𝘀𝗸𝘀
Narrowly defined agents perform better. Clarify:
- Mission: (e.g., "I analyze datasets for insights.")
- Key Tasks: (Summarizing, visualizing, analyzing)
- Limitations: ("I don’t offer legal advice.")
📌 Example: A financial AI focuses on finance, not general knowledge.
7️⃣ 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 𝗥𝗮𝘄 𝗟𝗟𝗠 𝗢𝘂𝘁𝗽𝘂𝘁𝘀
Post-process responses for structure & accuracy:
- Convert AI output to structured formats (JSON, tables)
- Validate correctness before user delivery
- Ensure correct tool execution
📌 Example: A financial AI converts extracted data into JSON.
8️⃣ 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝘁𝗼 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱)
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?
📌 Example:
1️⃣ One agent fetches data
2️⃣ Another summarizes
3️⃣ A third generates a report
Master the fundamentals, experiment, and refine and.. now go build something amazing!
𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
- Artificial Intelligence for Beginners
- Data Science for Beginners
- Machine Learning for Beginners
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/40OgK1w
Enroll For FREE & Get Certified 🎓
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
𝗠𝗮𝘀𝘁𝗲𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗔𝗜 & 𝗦𝗤𝗟 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 𝘄𝗶𝘁𝗵 𝗜𝗕𝗠!😍
Want to break into tech or level up your skills?💡
✅ Data Analytics: Analyze & visualize data like a pro
✅ Python: The most in-demand programming language
✅ AI & Machine Learning: Build smart applications
✅ SQL: Work with databases & extract insights
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/40F7YTD
🔥 Start your journey today!
𝗧𝗼𝗽 𝟱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
1)Data Science Foundations
2)SQL for Data Science
3)Python for Data Science
4)Introduction to Data Science
5)Data Science Projects
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4hDFv7E
Enroll For FREE & Get Certified 🎓
𝗧𝗮𝘁𝗮 𝗚𝗿𝗼𝘂𝗽 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀😍
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.
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/40Ej1MM
Enroll For FREE & Get Certified 🎓
𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗶𝘁𝗶 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 😍
🚀 100% Free – No hidden costs, no application fees
📜 Get a Verified Certificate – Add it to your LinkedIn & Resume
🎓 Learn from Citi Experts – Industry-backed training
📊 Real-World Projects – Gain hands-on experience
⏳ Self-Paced Learning
𝐋𝐢𝐧𝐤👇 :-
https://pdlink.in/40SGpYf
Enroll For FREE & Get Certified🎓
𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 😍
1) Generative AI
2) Big data artificial intelligence
3 ) Microsoft Al for beginners
4) Prompt Engineering for Chat GPT
𝐋𝐢𝐧𝐤👇 :-
https://pdlink.in/40Fbg9d
Enroll For FREE & Get Certified🎓
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 👍👍
现已上线!2025 年 Telegram 研究 — 年度关键洞察 
