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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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πŸ“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 40 886 subscribers, ranking 3 346 in the Technologies & Applications category and 10 078 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 40 886 subscribers.

According to the latest data from 04 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 156 over the last 30 days and by 58 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.73%. 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 1 526 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.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œPython Interview Projects & Free Courses Admin: @Coderfun”

Thanks to the high frequency of updates (latest data received on 05 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.

40 886
Subscribers
+5824 hours
+247 days
+15630 days
Posts Archive
Python Commands Cheatsheet βœ…
Python Commands Cheatsheet βœ…

Important Python Functions βœ…
Important Python Functions βœ…

πŸ”° Simplify Your Code with namedtuple in Python πŸ“‹ This Python program shows how to use namedtuple to create lightweight, rea
πŸ”° Simplify Your Code with namedtuple in Python
πŸ“‹ 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: πŸ“πŸ“œ Syntax, Variables, Data Types 2️⃣ Control Flow: πŸ”„πŸ€– If-Else, Loops, Functions 3️⃣ Data Structures: πŸ—‚οΈπŸ”’ Lists, Tuples, Dictionaries, Sets 4️⃣ OOP in Python: πŸ“¦πŸŽ­ Classes, Inheritance, Decorators 5️⃣ File Handling: πŸ“„πŸ“‚ Read/Write, JSON, CSV 6️⃣ Modules & Libraries: πŸ“¦πŸš€ NumPy, Pandas, Matplotlib 7️⃣ Web Development: πŸŒπŸ”§ Flask, Django, FastAPI 8️⃣ Automation & Scripting: πŸ€–πŸ› οΈ Web Scraping, Selenium, Bash Scripting 9️⃣ Machine Learning: πŸ§ πŸ“ˆ TensorFlow, Scikit-learn, PyTorch πŸ”Ÿ Projects & Practice: πŸ“‚πŸŽ― 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 πŸ‘πŸ‘

After the $19B market crash, most people ran away from cryptoπŸƒβ€β™‚οΈβ€βž‘οΈ But this team stayed, analyzed everything, and caught t
After the $19B market crash, most people ran away from cryptoπŸƒβ€β™‚οΈβ€βž‘οΈ But this team stayed, analyzed everything, and caught the rebound first. Now they’re sharing where smart money is moving next. πŸ‘‰ If you want to make profits while others are still scared β€” follow https://t.me/+Z1-jo-k9QvM2YzU6

βœ…SQL Checklist for Data Analysts πŸ“€πŸ§  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

πŸ”₯ Guys, Another Big Announcement! I’m launching a Python Interview Series πŸπŸ’Ό β€” 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 β€” covering core concepts, coding questions, and real interview scenarios asked by top companies. Here’s what’s coming your way πŸ‘‡ πŸ”Ή Week 1: Python Fundamentals (Beginner Level) β€’ Data types, variables & operators β€’ If-else, loops & functions β€’ Input/output & basic problem-solving πŸ’‘ *Practice:* Reverse string, Prime check, Factorial, Palindrome πŸ”Ή Week 2: Data Structures in Python β€’ Lists, Tuples, Sets, Dictionaries β€’ Comprehensions (list, dict, set) β€’ Sorting, searching, and nested structures πŸ’‘ *Practice:* Frequency count, remove duplicates, find max/min πŸ”Ή Week 3: Functions, Modules & File Handling β€’ *args, *kwargs, lambda, map/filter/reduce β€’ File read/write, CSV handling β€’ Modules & imports πŸ’‘ *Practice:* Create custom functions, read data files, handle errors πŸ”Ή Week 4: Object-Oriented Programming (OOP) β€’ Classes, objects, inheritance, polymorphism β€’ Encapsulation & abstraction β€’ Magic methods (__init__, __str__) πŸ’‘ *Practice:* Build a simple class like BankAccount or StudentSystem πŸ”Ή Week 5: Exception Handling & Logging β€’ try-except-else-finally β€’ Custom exceptions β€’ Logging errors & debugging best practices πŸ’‘ *Practice:* File operations with proper error handling πŸ”Ή Week 6: Advanced Python Concepts β€’ Decorators, generators, iterators β€’ Closures & context managers β€’ Shallow vs deep copy πŸ’‘ *Practice:* Create your own decorator, generator examples πŸ”Ή Week 7: Pandas & NumPy for Data Analysis β€’ DataFrame basics, filtering & grouping β€’ Handling missing data β€’ NumPy arrays, slicing, and aggregation πŸ’‘ *Practice:* Analyze small CSV datasets πŸ”Ή Week 8: Python for Analytics & Visualization β€’ Matplotlib, Seaborn basics β€’ Data summarization & correlation β€’ Building simple dashboards πŸ’‘ *Practice:* Visualize sales or user data πŸ”Ή Week 9: Real Interview Questions (Intermediate–Advanced) β€’ 50+ Python interview questions with answers β€’ Common logical & coding tasks β€’ Real company-style questions (Infosys, TCS, Deloitte, etc.) πŸ’‘ *Practice:* Solve daily problem sets πŸ”Ή Week 10: Final Interview Prep (Mock & Revision) β€’ End-to-end mock interviews β€’ Python project discussion tips β€’ Resume & GitHub portfolio guidance πŸ“Œ Each week includes: βœ… Key Concepts & Examples βœ… Coding Snippets & Practice Tasks βœ… Real Interview Q&A βœ… Mini Quiz & Discussion πŸ‘ React ❀️ if you’re ready to master Python interviews! πŸ‘‡ 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 βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @pythonjoyy for moreπŸ‘ˆ

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

πŸ”… Convert Video to Audio using Python
πŸ”… Convert Video to Audio using Python

Python basic programes πŸ’ͺπŸ”₯ Do not forget to React ❀️ to this Message for More Content Like this Thanks For Joining All β€οΈπŸ™

πŸš€ Agentic AI Developer Certification Program πŸ”₯ 100% FREE | Self-Paced | Career-Changing πŸ‘¨β€πŸ’» Learn to build: βœ… | Chatbots
πŸš€ Agentic AI Developer Certification Program πŸ”₯ 100% FREE | Self-Paced | Career-Changing πŸ‘¨β€πŸ’» Learn to build: βœ… | Chatbots βœ… | AI Assistants βœ… | Multi-Agent Systems ⚑️ Master tools like LangChain, LangGraph, RAGAS, & more. Join now ‡️ https://go.readytensor.ai/cert-511-agentic-ai-certification Double Tap β™₯️ For More

🀩 Quick Roadmaps to Learn 🀩 ❀️ Javascript https://roadmap.sh/javascript ❀️ Data Science https://miro.medium.com/max/828/1*UQ9M5X6R1LVPzwc4bfnt9w.webp ❀️ Frontend development https://i0.wp.com/css-tricks.com/wp-content/uploads/2018/07/modern-front-end-developer.png?ssl=1 ❀️ Data Analyst Roadmap https://t.me/sqlspecialist/379 ❀️ AI/ML https://i.am.ai/roadmap

🀑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. πŸ‘‰ Join now and trade smarter: https://t.me/+3xRw-RoEHhk0ZDJi

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Polymorphism in Python πŸ‘†
+8
Polymorphism in Python πŸ‘†