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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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📈 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 40 841 名订阅者,在 技术与应用 类别中位列第 3 346,并在 印度 地区排名第 10 107

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 40 841 名订阅者。

根据 03 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 111,过去 24 小时变化为 0,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 3.22%。内容发布后 24 小时内通常能获得 N/A% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 314 次浏览,首日通常累积 0 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 04 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。

40 841
订阅者
无数据24 小时
-257
+11130
帖子存档
Python Commands Cheatsheet ✅
Python Commands Cheatsheet ✅

Important Python Functions ✅
Important Python Functions ✅

🔰 Simplify Your Code with namedtuple in Python 📋 This Python program shows how to use namedtuple to create lightweight, rea
🔰 Simplify Your Code with namedtuple in Python
📋 This Python program shows how to use namedtuple to create lightweight, readable data structures instead of regular tuples!
Example Output:
Alice 30 Paris

🐍 Python Roadmap 1️⃣ Basics: 📝📜 Syntax, Variables, Data Types 2️⃣ Control Flow: 🔄🤖 If-Else, Loops, Functions 3️⃣ Data Structures: 🗂️🔢 Lists, Tuples, Dictionaries, Sets 4️⃣ OOP in Python: 📦🎭 Classes, Inheritance, Decorators 5️⃣ File Handling: 📄📂 Read/Write, JSON, CSV 6️⃣ Modules & Libraries: 📦🚀 NumPy, Pandas, Matplotlib 7️⃣ Web Development: 🌍🔧 Flask, Django, FastAPI 8️⃣ Automation & Scripting: 🤖🛠️ Web Scraping, Selenium, Bash Scripting 9️⃣ Machine Learning: 🧠📈 TensorFlow, Scikit-learn, PyTorch 🔟 Projects & Practice: 📂🎯 Create apps, scripts, and contribute to open source React ❤️ for more tech related info #techinfo

Question: What are Python set comprehensions? Answer:Set comprehensions are similar to list comprehensions but create a set instead of a list. The syntax is:
{expression for item in iterable if condition}
For example, to create a set of squares of even numbers:
squares_set = {x**2 for x in range(10) if x % 2 == 0}
This will create a set with the values
{0, 4, 16, 36, 64}
https://t.me/DataScienceQ 🌟

30-day roadmap to learn Python up to an intermediate level Week 1: Python Basics *Day 1-2:* - Learn about Python, its syntax, and how to install Python on your computer. - Write your first "Hello, World!" program. - Understand variables and data types (integers, floats, strings). *Day 3-4:* - Explore basic operations (arithmetic, string concatenation). - Learn about user input and how to use the input() function. - Practice creating and using variables. *Day 5-7:* - Dive into control flow with if statements, else statements, and loops (for and while). - Work on simple programs that involve conditions and loops. Week 2: Functions and Modules *Day 8-9:* - Study functions and how to define your own functions using def. - Learn about function arguments and return values. *Day 10-12:* - Explore built-in functions and libraries (e.g., len(), random, math). - Understand how to import modules and use their functions. *Day 13-14:* - Practice writing functions for common tasks. - Create a small project that utilizes functions and modules. Week 3: Data Structures *Day 15-17:* - Learn about lists and their operations (slicing, appending, removing). - Understand how to work with lists of different data types. *Day 18-19:* - Study dictionaries and their key-value pairs. - Practice manipulating dictionary data. *Day 20-21:* - Explore tuples and sets. - Understand when and how to use each data structure. Week 4: Intermediate Topics *Day 22-23:* - Study file handling and how to read/write files in Python. - Work on projects involving file operations. *Day 24-26:* - Learn about exceptions and error handling. - Explore object-oriented programming (classes and objects). *Day 27-28:* - Dive into more advanced topics like list comprehensions and generators. - Study Python's built-in libraries for web development (e.g., requests). *Day 29-30:* - Explore additional libraries and frameworks relevant to your interests (e.g., NumPy for data analysis, Flask for web development, or Pygame for game development). - Work on a more complex project that combines your knowledge from the past weeks. Throughout the 30 days, practice coding daily, and don't hesitate to explore Python's documentation and online resources for additional help. Learning Python is a dynamic process, so adapt the roadmap based on your progress and interests. Best Programming Resources: https://topmate.io/coding/886839 ENJOY LEARNING 👍👍

After the $19B market crash, most people ran away from crypto🏃‍♂️‍➡️ But this team stayed, analyzed everything, and caught t
After the $19B market crash, most people ran away from crypto🏃‍♂️‍➡️ But this team stayed, analyzed everything, and caught the rebound first. Now they’re sharing where smart money is moving next. 👉 If you want to make profits while others are still scared — follow https://t.me/+Z1-jo-k9QvM2YzU6

SQL Checklist for Data Analysts 📀🧠 1. SQL Basics⦁ SELECT, WHERE, ORDER BY ⦁ DISTINCT, LIMIT, BETWEEN, IN⦁ Aliasing (AS) 2. Filtering & Aggregation ⦁ GROUP BY & HAVING⦁ COUNT(), SUM(), AVG(), MIN(), MAX() ⦁ NULL handling with COALESCE, IS NULL 3. Joins ⦁ INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN ⦁ Joining multiple tables ⦁ Self Joins 4. Subqueries & CTEs ⦁ Subqueries in SELECT, WHERE, FROM ⦁ WITH clause (Common Table Expressions) ⦁ Nested subqueries 5. Window Functions ⦁ ROW_NUMBER(), RANK(), DENSE_RANK() ⦁ LEAD(), LAG() ⦁ PARTITION BY & ORDER BY within OVER() 6. Data Manipulation ⦁ INSERT, UPDATE, DELETE ⦁ CREATE TABLE, ALTER TABLE ⦁ Constraints: PRIMARY KEY, FOREIGN KEY, NOT NULL 7. Optimization Techniques ⦁ Indexes ⦁ Query performance tips ⦁ EXPLAIN plans 8. Real-World Scenarios ⦁ Writing complex queries for reports ⦁ Customer, sales, and product data ⦁ Time-based analysis (e.g., monthly trends) 9. Tools & Practice Platforms ⦁ MySQL, PostgreSQL, SQL Server ⦁ DB Fiddle, Mode Analytics, LeetCode (SQL), StrataScratch 10. Portfolio & Projects ⦁ Showcase queries on GitHub ⦁ Analyze public datasets (e.g., ecommerce, finance) ⦁ Document business insights

🔥 Guys, Another Big Announcement! I’m launching a Python Interview Series 🐍💼 — your complete guide to cracking Python interviews from beginner to advanced level! This will be a week-by-week series designed to make you interview-ready — covering core concepts, coding questions, and real interview scenarios asked by top companies. Here’s what’s coming your way 👇 🔹 Week 1: Python Fundamentals (Beginner Level) • Data types, variables & operators • If-else, loops & functions • Input/output & basic problem-solving 💡 *Practice:* Reverse string, Prime check, Factorial, Palindrome 🔹 Week 2: Data Structures in Python • Lists, Tuples, Sets, Dictionaries • Comprehensions (list, dict, set) • Sorting, searching, and nested structures 💡 *Practice:* Frequency count, remove duplicates, find max/min 🔹 Week 3: Functions, Modules & File Handling*args, *kwargs, lambda, map/filter/reduce • File read/write, CSV handling • Modules & imports 💡 *Practice:* Create custom functions, read data files, handle errors 🔹 Week 4: Object-Oriented Programming (OOP) • Classes, objects, inheritance, polymorphism • Encapsulation & abstraction • Magic methods (__init__, __str__) 💡 *Practice:* Build a simple class like BankAccount or StudentSystem 🔹 Week 5: Exception Handling & Loggingtry-except-else-finally • Custom exceptions • Logging errors & debugging best practices 💡 *Practice:* File operations with proper error handling 🔹 Week 6: Advanced Python Concepts • Decorators, generators, iterators • Closures & context managers • Shallow vs deep copy 💡 *Practice:* Create your own decorator, generator examples 🔹 Week 7: Pandas & NumPy for Data Analysis • DataFrame basics, filtering & grouping • Handling missing data • NumPy arrays, slicing, and aggregation 💡 *Practice:* Analyze small CSV datasets 🔹 Week 8: Python for Analytics & Visualization • Matplotlib, Seaborn basics • Data summarization & correlation • Building simple dashboards 💡 *Practice:* Visualize sales or user data 🔹 Week 9: Real Interview Questions (Intermediate–Advanced) • 50+ Python interview questions with answers • Common logical & coding tasks • Real company-style questions (Infosys, TCS, Deloitte, etc.) 💡 *Practice:* Solve daily problem sets 🔹 Week 10: Final Interview Prep (Mock & Revision) • End-to-end mock interviews • Python project discussion tips • Resume & GitHub portfolio guidance 📌 Each week includes: ✅ Key Concepts & Examples ✅ Coding Snippets & Practice Tasks ✅ Real Interview Q&A ✅ Mini Quiz & Discussion 👍 React ❤️ if you’re ready to master Python interviews! 👇 You can access it from here: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/2099

Beginner's Series to: Django by Microsoft One of the most popular types of web applications to create is one to act as a front-end for a database. These applications focus on a common set of patters where you will allow users to create, retrieve, update and delete (CRUD) data. Creating CRUD applications can sometimes be tedious as large portions of the code are duplicated in your project. 🎬 24 episodes https://docs.microsoft.com/en-us/shows/beginners-series-to-django/ #django #python #microsoft ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @pythonjoyy for more👈

List Comprehension in Python
+6
List Comprehension in Python

SQL Cheatsheet
SQL Cheatsheet

Top python frameworks for web development
Top python frameworks for web development

🔅 Convert Video to Audio using Python
🔅 Convert Video to Audio using Python

Python basic programes 💪🔥 Do not forget to React ❤️ to this Message for More Content Like this Thanks For Joining All ❤️🙏

🚀 Agentic AI Developer Certification Program 🔥 100% FREE | Self-Paced | Career-Changing 👨‍💻 Learn to build: ✅ | Chatbots
🚀 Agentic AI Developer Certification Program 🔥 100% FREE | Self-Paced | Career-Changing 👨‍💻 Learn to build: ✅ | Chatbots ✅ | AI Assistants ✅ | Multi-Agent Systems ⚡️ Master tools like LangChain, LangGraph, RAGAS, & more. Join now ⤵️ https://go.readytensor.ai/cert-511-agentic-ai-certification Double Tap ♥️ For More

🤡Most crypto channels just throw charts and hype at you. This one gives clear, real moves instead. Know what to buy, when to
🤡Most crypto channels just throw charts and hype at you. This one gives clear, real moves instead. Know what to buy, when to sell, and how to avoid costly mistakes. New to crypto or already trading? Get clear moves, not noise. 👉 Join now and trade smarter: https://t.me/+3xRw-RoEHhk0ZDJi

Polymorphism in Python 👆
+8
Polymorphism in Python 👆