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๐Ÿ“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 40 906 subscribers, ranking 3 337 in the Technologies & Applications category and 10 047 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 40 906 subscribers.

According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 175 over the last 30 days and by 29 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.03%. 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 1 649 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.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œPython Interview Projects & Free Courses Admin: @Coderfunโ€

Thanks to the high frequency of updates (latest data received on 06 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.

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Print 2025 Calendar using Python
Print 2025 Calendar using Python

โŒจ๏ธ Learn About Python List Methods
โŒจ๏ธ Learn About Python List Methods

๐Ÿณ ๐—™๐—ฅ๐—˜๐—˜ ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€๐Ÿ˜ Master Data Analytics in 2025! These 7 FREE course
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โŒจ๏ธ Python Dictionary Methods
โŒจ๏ธ Python Dictionary Methods

โŒจ๏ธ Calculate derivatives in Python
โŒจ๏ธ Calculate derivatives in Python

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๐—œ๐—บ๐—ฝ๐—ฟ๐—ฒ๐˜€๐˜€ ๐—ฅ๐—ฒ๐—ฐ๐—ฟ๐˜‚๐—ถ๐˜๐—ฒ๐—ฟ๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿฑ ๐—ฆ๐—ค๐—Ÿ ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜๐˜€ ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€!๐Ÿ˜ Want to land a data analytics job? Showcase your SQL skills with real-world projects! ๐Ÿ“Š ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3FJzJDu Build your portfolio & stand out in job applications! Start todayโœ…๏ธ

๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฆ๐—ผ๐—ณ๐˜ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ ๐—ฆ๐˜‚๐—ฐ๐—ฐ๐—ฒ๐˜€๐˜€!๐Ÿ˜ Want to stand out in your career? Soft skills are ju
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฆ๐—ผ๐—ณ๐˜ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ ๐—ฆ๐˜‚๐—ฐ๐—ฐ๐—ฒ๐˜€๐˜€!๐Ÿ˜ Want to stand out in your career? Soft skills are just as important as technical expertise! ๐ŸŒŸ Here are 3 FREE courses to help you communicate, negotiate, and present with confidence ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/41V1Yqi Tag someone who needs this boost! ๐Ÿš€

Essentials for Acing any Data Analytics Interviews- SQL: 1. Beginner - Fundamentals: SELECT, WHERE, ORDER BY, GROUP BY, HAVING - Essential JOINS: INNER, LEFT, RIGHT, FULL - Basics of database and table creation 2. Intermediate - Aggregate functions: COUNT, SUM, AVG, MAX, MIN - Subqueries and nested queries - Common Table Expressions with the WITH clause - Conditional logic in queries using CASE statements 3. Advanced - Complex JOIN techniques: self-join, non-equi join - Window functions: OVER, PARTITION BY, ROW_NUMBER, RANK, DENSE_RANK, lead, lag - Query optimization through indexing - Manipulating data: INSERT, UPDATE, DELETE Python: 1. Basics - Understanding syntax, variables, and data types: integers, floats, strings, booleans - Control structures: if-else, loops (for, while) - Core data structures: lists, dictionaries, sets, tuples - Functions and error handling: lambda functions, try-except - Using modules and packages 2. Pandas & Numpy - DataFrames and Series: creation and manipulation - Techniques: indexing, selecting, filtering - Handling missing data with fillna and dropna - Data aggregation: groupby, data summarizing - Data merging techniques: merge, join, concatenate 3. Visualization - Plotting basics with Matplotlib: line plots, bar plots, histograms - Advanced visualization with Seaborn: scatter plots, box plots, pair plots - Plot customization: sizes, labels, legends, colors - Introduction to interactive visualizations with Plotly Excel: 1. Basics - Cell operations and basic formulas: SUMIFS, COUNTIFS, AVERAGEIFS - Charts and introductory data visualization - Data sorting and filtering, Conditional formatting 2. Intermediate - Advanced formulas: V/XLOOKUP, INDEX-MATCH, complex IF scenarios - Summarizing data with PivotTables and PivotCharts - Tools for data validation and what-if analysis: Data Tables, Goal Seek 3. Advanced - Utilizing array formulas and sophisticated functions - Building a Data Model & using Power Pivot - Advanced filtering, Slicers and Timelines in Pivot Tables - Crafting dynamic charts and interactive dashboards Power BI: 1. Data Modeling - Importing data from diverse sources - Creating and managing dataset relationships - Data modeling essentials: star schema, snowflake schema 2. Data Transformation - Data cleaning and transformation with Power Query - Advanced data shaping techniques - Implementing calculated columns and measures with DAX 3. Data Visualization and Reporting - Developing interactive reports and dashboards - Visualization types: bar, line, pie charts, maps - Report publishing and sharing, scheduling data refreshes Statistics: Mean, Median, Mode, Standard Deviation, Variance, Probability Distributions, Hypothesis Testing, P-values, Confidence Intervals, Correlation, Simple Linear Regression, Normal Distribution, Binomial Distribution, Poisson Distribution

๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜!๐Ÿ˜ Want to upskill in AI, Data Science, Web Development, or Ethical Hackin
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FREE RESOURCES TO LEARN PYTHON ๐Ÿ‘‡๐Ÿ‘‡ Free Udacity Course to learn Python https://imp.i115008.net/5bK93j Data Structure and OOPS in Python Free Courses https://bit.ly/3t1WEBt Free Certified Python course by Freecodecamp https://www.freecodecamp.org/learn/scientific-computing-with-python/ Free Python Course from Google https://developers.google.com/edu/python Free Python Tutorials from Kaggle https://www.kaggle.com/learn/python Python hands-on Project https://t.me/Programming_experts/23 Free Python Books Collection https://cfm.ehu.es/ricardo/docs/python/Learning_Python.pdf https://static.realpython.com/python-basics-sample-chapters.pdf ๐Ÿ‘จโ€๐Ÿ’ปWebsites to Practice Python 1. http://codingbat.com/python 2. https://www.hackerrank.com/ 3. https://www.hackerearth.com/practice/ 4. https://projecteuler.net/archives 5. http://www.codeabbey.com/index/task_list 6. http://www.pythonchallenge.com/ Beginner's guide to Python Free Book https://t.me/pythondevelopersindia/144 Official Documentation https://docs.python.org/3/ Join @free4unow_backup for more free courses ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

๐Ÿฒ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฌ๐—ผ๐˜‚๐—ง๐˜‚๐—ฏ๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—ž๐—ถ๐—ฐ๐—ธ๐˜€๐˜๐—ฎ๐—ฟ๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ!๐Ÿ˜ Want t
๐Ÿฒ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฌ๐—ผ๐˜‚๐—ง๐˜‚๐—ฏ๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—ž๐—ถ๐—ฐ๐—ธ๐˜€๐˜๐—ฎ๐—ฟ๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ!๐Ÿ˜ Want to break into Data Analytics but donโ€™t know where to start? These 6 FREE courses cover everythingโ€”from Excel, SQL, Python, and Power BI to Business Math & Statistics and Portfolio Projects! ๐Ÿ“Š ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4kMSztw ๐Ÿ“Œ Save this now and start learning today!

4 Python practical projects to do for freshers in data analytics ๐Ÿงตโฌ‡๏ธ 1๏ธโƒฃ Exploratory Data Analysis (EDA) on a Public Dataset Use a dataset from Kaggle or data.gov Clean and preprocess the data Perform statistical analysis and visualization Draw insights and present findings 2๏ธโƒฃ Stock Market Analysis Tool Fetch real-time stock data using an API (e.g., yfinance) Implement technical indicators (e.g., moving averages, RSI) Create visualizations of stock performance Build a simple prediction model 3๏ธโƒฃ Social Media Sentiment Analysis Collect tweets or Reddit posts using APIs Preprocess text data Perform sentiment analysis Visualize sentiment trends over time 4๏ธโƒฃ Customer Churn Prediction Use a telecom or e-commerce dataset Perform feature engineering Build and compare multiple machine learning models Evaluate model performance and interpret results Hope it helps :)

๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—”๐—œ ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜? ๐—›๐—ฒ๐—ฟ๐—ฒโ€™๐˜€ ๐—›๐—ผ๐˜„!๐Ÿ˜ Learn AI from scratch with these 6 YouTube channels! ๏ฟฝ
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Python List Methods
Python List Methods

15 Best Project Ideas for Python : ๐Ÿ ๐Ÿš€ Beginner Level: 1. Simple Calculator 2. To-Do List 3. Number Guessing Game 4. Dice Rolling Simulator 5. Word Counter ๐ŸŒŸ Intermediate Level: 6. Weather App 7. URL Shortener 8. Movie Recommender System 9. Chatbot 10. Image Caption Generator ๐ŸŒŒ Advanced Level: 11. Stock Market Analysis 12. Autonomous Drone Control 13. Music Genre Classification 14. Real-Time Object Detection 15. Natural Language Processing (NLP) Sentiment Analysis

๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—บ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—˜๐˜…๐—ฐ๐—ฒ๐—น ๐—ถ๐—ป ๐—ท๐˜‚๐˜€๐˜ ๐Ÿณ ๐—ฑ๐—ฎ๐˜†๐˜€? ๐Ÿ“Š Here's a structured roadmap to help you go from beginner
๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—บ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—˜๐˜…๐—ฐ๐—ฒ๐—น ๐—ถ๐—ป ๐—ท๐˜‚๐˜€๐˜ ๐Ÿณ ๐—ฑ๐—ฎ๐˜†๐˜€? ๐Ÿ“Š Here's a structured roadmap to help you go from beginner to pro in a week! Whether you're learning formulas, functions, or data visualization, this guide covers everything step by step. ๐‹๐ข๐ง๐ค๐Ÿ‘‡ :- https://pdlink.in/43lzybE All The Best ๐Ÿ’ฅ

How to learn Programming in 2025
+8
How to learn Programming in 2025

๐—™๐—ฅ๐—˜๐—˜ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€! ๐Ÿ“Š๐Ÿš€ Want to master data analytics? Here are top fre
๐—™๐—ฅ๐—˜๐—˜ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€! ๐Ÿ“Š๐Ÿš€ Want to master data analytics? Here are top free courses, books, and certifications to help you get started with Power BI, Tableau, Python, and Excel. ๐‹๐ข๐ง๐ค๐Ÿ‘‡ https://pdlink.in/41Fx3PW All The Best ๐Ÿ’ฅ

+4
One of the best books to learn python

๐—ง๐—ผ๐—ฝ ๐Ÿฑ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ฌ๐—ผ๐˜‚ ๐—–๐—ฎ๐—ป ๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—œ๐—ป ๐—ง๐—ผ๐—ฑ๐—ฎ๐˜†!๐Ÿ˜ In todayโ€™s fast-paced tech
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