Python Projects & Free Books
Python Interview Projects & Free Courses Admin: @Coderfun
Show moreπ 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.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄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.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βPython Interview Projects & Free Courses
Admin: @Coderfunβ
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.
namedtuple in Python
π This Python program shows how to use namedtuple to create lightweight, readable data structures instead of regular tuples!β¨ Example Output:
Alice 30 Paris
{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 πinput() 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 ππ*args, *kwargs, lambda, map/filter/reduce
β’ File read/write, CSV handling
β’ Modules & imports
π‘ *Practice:* Create custom functions, read data files, handle errors
πΉ Week 4: Object-Oriented Programming (OOP)
β’ Classes, objects, inheritance, polymorphism
β’ Encapsulation & abstraction
β’ Magic methods (__init__, __str__)
π‘ *Practice:* Build a simple class like BankAccount or StudentSystem
πΉ Week 5: Exception Handling & Logging
β’ try-except-else-finally
β’ Custom exceptions
β’ Logging errors & debugging best practices
π‘ *Practice:* File operations with proper error handling
πΉ Week 6: Advanced Python Concepts
β’ Decorators, generators, iterators
β’ Closures & context managers
β’ Shallow vs deep copy
π‘ *Practice:* Create your own decorator, generator examples
πΉ Week 7: Pandas & NumPy for Data Analysis
β’ DataFrame basics, filtering & grouping
β’ Handling missing data
β’ NumPy arrays, slicing, and aggregation
π‘ *Practice:* Analyze small CSV datasets
πΉ Week 8: Python for Analytics & Visualization
β’ Matplotlib, Seaborn basics
β’ Data summarization & correlation
β’ Building simple dashboards
π‘ *Practice:* Visualize sales or user data
πΉ Week 9: Real Interview Questions (IntermediateβAdvanced)
β’ 50+ Python interview questions with answers
β’ Common logical & coding tasks
β’ Real company-style questions (Infosys, TCS, Deloitte, etc.)
π‘ *Practice:* Solve daily problem sets
πΉ Week 10: Final Interview Prep (Mock & Revision)
β’ End-to-end mock interviews
β’ Python project discussion tips
β’ Resume & GitHub portfolio guidance
π Each week includes:
β
Key Concepts & Examples
β
Coding Snippets & Practice Tasks
β
Real Interview Q&A
β
Mini Quiz & Discussion
π React β€οΈ if youβre ready to master Python interviews!
π You can access it from here: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/2099
Available now! Telegram Research 2025 β the year's key insights 
