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Python Programming Books

Python Programming Books

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Best Resource to learn Python Programming & DSA (Data Structure and Algorithms) ๐Ÿ“š๐Ÿ“ For collaborations: @coderfun

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๐Ÿ“ˆ Analytical overview of Telegram channel Python Programming Books

Channel Python Programming Books (@dsabooks) in the English language segment is an active participant. Currently, the community unites 58 146 subscribers, ranking 2 291 in the Technologies & Applications category and 6 221 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 58 146 subscribers.

According to the latest data from 09 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 505 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 7.95%. Within the first 24 hours after publication, content typically collects 1.50% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 870 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
  • Thematic interests: Content is focused on key topics such as panda, learning, programming, api, dataset.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œBest Resource to learn Python Programming & DSA (Data Structure and Algorithms) ๐Ÿ“š๐Ÿ“ For collaborations: @coderfunโ€

Thanks to the high frequency of updates (latest data received on 10 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.

58 146
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Channel Posts
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๐Ÿ’ก Level Up Your IT Career in 2026 โ€“ For FREE Areas covered: #Python #AI #Cisco #PMP #Fortinet #AWS #Azure #Excel #CompTIA #I
๐Ÿ’ก Level Up Your IT Career in 2026 โ€“ For FREE Areas covered: #Python #AI #Cisco #PMP #Fortinet #AWS #Azure #Excel #CompTIA #ITIL #Cloud + more ๐Ÿ”— Download each free resource here: โ€ข Free Courses (Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS) ๐Ÿ‘‰https://bit.ly/492lupg โ€ข IT Certs E-book ๐Ÿ‘‰https://bit.ly/4vXETS8 โ€ข IT Exams Skill Test ๐Ÿ‘‰ https://bit.ly/4t1fhkB โ€ข Free AI Materials & Support Tools ๐Ÿ‘‰ https://bit.ly/4cWlwQL โ€ข Free Cloud Study Guide ๐Ÿ‘‰https://bit.ly/4cU6F9h ๐Ÿ“ฒ Need exam help? Contact admin: wa.link/qse4fe ๐Ÿ’ฌ Join our study group (free tips & support): https://chat.whatsapp.com/K3n7OYEXgT1CHGylN6fM5a
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Top 10 Python One Liners! 1๏ธโƒฃ Reverse a string: reversed_string = "Hello World"[::-1] 2๏ธโƒฃ Check if a number is even: is_even
Top 10 Python One Liners! 1๏ธโƒฃ Reverse a string: reversed_string = "Hello World"[::-1] 2๏ธโƒฃ Check if a number is even: is_even = lambda x: x % 2 == 0 3๏ธโƒฃ Find the factorial of a number: factorial = lambda x: 1 if x == 0 else x * factorial(x - 1) 4๏ธโƒฃ Read a file and print its contents: [print(line.strip()) for line in open('file.txt')] 5๏ธโƒฃ Create a list of squares: squares = [x**2 for x in range(10)] 6๏ธโƒฃ Flatten a list of lists: flat_list = [item for sublist in [[1, 2], [3, 4], [5, 6]] for item in sublist] 7๏ธโƒฃ Find the length of a list: length = len([1, 2, 3, 4]) 8๏ธโƒฃ Create a dictionary from two lists: keys = ['a', 'b', 'c']; values = [1, 2, 3]; dictionary = dict(zip(keys, values)) 9๏ธโƒฃ Generate a list of random numbers: import random; random_numbers = [random.randint(0, 100) for _ in range(10)] ๐Ÿ”Ÿ Check if a string is a palindrome: is_palindrome = lambda s: s == s[::-1] Mastering these one-liners can significantly improve your coding efficiency and make your code more concise. https://t.me/pythonRe โœ‰๏ธ
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๐Ÿ”ฐ Python Developer Most commonly asked questions in an interview (collage placement)+3
๐Ÿ”ฐ Python Developer Most commonly asked questions in an interview (collage placement)
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Important Topics You Should Know to Learn Python ๐Ÿ‘‡ Lists, Strings, Tuples, Dictionaries, Sets โ€“ Learn the core data structures in Python. Boolean, Arithmetic, and Comparison Operators โ€“ Understand how Python evaluates conditions. Operations on Data Structures โ€“ Append, delete, insert, reverse, sort, and manipulate collections efficiently. Reading and Extracting Data โ€“ Learn how to access, modify, and extract values from lists and dictionaries. Conditions and Loops โ€“ Master if, elif, else, for, while, break, and continue statements. Range and Enumerate โ€“ Efficiently loop through sequences with indexing. Functions โ€“ Create functions with and without parameters, and understand *args and **kwargs. Classes & Object-Oriented Programming โ€“ Work with init methods, global/local variables, and concepts like inheritance and encapsulation. File Handling โ€“ Read, write, and manipulate files in Python. Free Resources to learn Python๐Ÿ‘‡๐Ÿ‘‡ ๐Ÿ‘‰ Free Python course by Google https://developers.google.com/edu/python ๐Ÿ‘‰ Freecodecamp Python course https://www.freecodecamp.org/learn/data-analysis-with-python/# ๐Ÿ‘‰ Udacity Intro to Python course https://bit.ly/3FOOQHh ๐Ÿ‘‰Python Cheatsheet https://t.me/pythondevelopersindia/262?single ๐Ÿ‘‰ Practice Python http://www.pythonchallenge.com/ ๐Ÿ‘‰ Kaggle https://kaggle.com/learn/intro-to-programming https://kaggle.com/learn/python ๐Ÿ‘‰ ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ถ๐—ป๐—ด ๐—˜๐˜€๐˜€๐—ฒ๐—ป๐˜๐—ถ๐—ฎ๐—น๐˜€ ๐—ถ๐—ป ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป https://netacad.com/courses/programming/pcap-programming-essentials-python ๐Ÿ‘‰ Python Essentials https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L https://t.me/dsabooks ๐Ÿ‘‰ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐˜๐—ถ๐—ณ๐—ถ๐—ฐ ๐—–๐—ผ๐—บ๐—ฝ๐˜‚๐˜๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป https://freecodecamp.org/learn/scientific-computing-with-python/ ๐Ÿ‘‰ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐—ถ๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป https://freecodecamp.org/learn/data-analysis-with-python/ ๐Ÿ‘‰ ๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป https://freecodecamp.org/learn/machine-learning-with-python/ ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
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๐Ÿ”ฅ2026 New IT Certification Prep Kit โ€“ Free! SPOTO cover: #Python #AI #Cisco #PMI #Fortinet #AWS #Azure #Excel #CompTIA #ITIL
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Top 10 colleges for CS and AI by TOI and The Daily Jagran. Built by top tech leaders from Google, Meta, Open AI SST Offers: โžก
Top 10 colleges for CS and AI by TOI and The Daily Jagran. Built by top tech leaders from Google, Meta, Open AI SST Offers: โžก๏ธ 4 Years Program in CS/AI and AI + B โžก๏ธ 96% Internship Placement Rate with 2L/Mon highest Stipend โžก๏ธ Advanced AI Curriculum where students learn by building projects So if you are serious about pursuing a career in CS and AI- Apply now for the entrance exam NSET. Students with good JEE scores can directly advance to interview round. Registeration Link:https://scalerschooloftech.com/4sZAYSQ Coupon: TEST500 Limited Seats only!!
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๐Ÿ”ฐ Useful Python string formatting types base in placeholder
๐Ÿ”ฐ Useful Python string formatting types base in placeholder
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๐Ÿ—‚ 20 free MIT courses โ€” the entire Computer Science base in one place #MIT has made courses in key CS areas publicly availab
๐Ÿ—‚ 20 free MIT courses โ€” the entire Computer Science base in one place #MIT has made courses in key CS areas publicly available. #Python, #algorithms, #ML, neural networks, #OS, #databases, #mathematics โ€” all can be completed for free directly on #YouTube. โ–ถ๏ธ Introduction to Python Programming โ–ถ๏ธ Data Structures and Algorithms โ–ถ๏ธ Mathematics for Computer Science โ–ถ๏ธ Machine Learning โ–ถ๏ธ Deep Learning โ–ถ๏ธ Artificial Intelligence โ–ถ๏ธ Machine Learning in Healthcare โ–ถ๏ธ Database Management Systems โ–ถ๏ธ Operating Systems โ–ถ๏ธ One-Variable Calculus โ–ถ๏ธ Many-Variable Calculus โ–ถ๏ธ Introduction to Probability Theory โ–ถ๏ธ Statistics โ–ถ๏ธ Probability Theory and Statistics โ–ถ๏ธ Linear Algebra โ–ถ๏ธ Matrix Calculus for Machine Learning โ–ถ๏ธ Java Programming โ–ถ๏ธ Design and Analysis of Algorithms โ–ถ๏ธ Advanced Data Structures โ–ถ๏ธ Introduction to Computational Thinking tags: #courses โžกhttps://t.me/python53
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7 Baby Steps to Learn Python 1. Grasp the Basics: Start with Python fundamentals. Learn how to install Python, set up a code editor (like VS Code or PyCharm), and write your first Python script. Focus on understanding: Syntax and indentation Variables and data types (e.g., strings, integers, floats, lists) Operators, control flow (if, for, while), and input/output functions 2. Practice Writing Simple Programs: Apply your basics by writing simple programs like: A calculator for arithmetic operations A program to find the largest number in a list A script to reverse a string or check if itโ€™s a palindrome 3. Explore Pythonโ€™s Core Libraries: Familiarize yourself with Pythonโ€™s built-in libraries such as math, random, and datetime. Learn to handle files using open() and write(), and understand how to work with exceptions using try...except. 4. Learn Key Data Structures: Master Pythonโ€™s key data structures like: Lists: Learn slicing, appending, and iterating Dictionaries: Understand key-value pairs and their applications Sets & Tuples: Learn their use cases and differences Practice solving problems like removing duplicates from a list or counting word frequencies. 5. Understand Functions and Modules: Learn how to write reusable code using functions. Understand how to: Define and call functions Use *args and **kwargs Import and create your own modules for better code organization 6. Work on Real-World Projects: Start with small, practical projects to apply your skills, such as: A to-do list manager using text files A web scraper using BeautifulSoup A data visualization project using matplotlib and pandas 7. Engage with Python Communities: Join Python forums and communities like Redditโ€™s r/learnpython, StackOverflow, or Python Discord. Participate in coding challenges on HackerRank, LeetCode, or Kaggle. These platforms will help you practice problem-solving and get feedback from others. Additional Tips: Explore Pythonโ€™s vast ecosystem, including libraries like NumPy, pandas, and Flask, depending on your goals. Practice regularly to reinforce your understanding and grow as a Python developer. Python Interview Resources: https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Join for more: https://t.me/sqlspecialist ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
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