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Python Projects & Free Books
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Python Interview Projects & Free Courses Admin: @Coderfun
Show more๐ 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 40 915 subscribers, ranking 3 337 in the Technologies & Applications category and 10 047 in the India region.
๐ Audience metrics and dynamics
Since its creation on ะฝะตะฒัะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 40 915 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.
๐ Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
โPython Interview Projects & Free Courses
Admin: @Coderfunโ
Thanks to the high frequency of updates (latest data received on 07 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.
40 915
Subscribers
+2924 hours
+517 days
+17530 days
Posts Archive
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Ready to dive into the world of Machine Learning? Here are 5 powerful resources that will guide you every step of the wayโfrom beginner concepts to advanced techniques.
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๐จโ๐ปWebsites to Practice Python
Python Basics ๐:
1. http://codingbat.com/python
2. https://www.hackerrank.com/
3. https://www.hackerearth.com/practice/
Practice Problems set :
4. https://projecteuler.net/archives
5. http://www.codeabbey.com/index/task_list
6. http://www.pythonchallenge.com/
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Websites and platforms where you can practice Python projects, do hands-on coding, and gain valuable experience
1. w3schools
(https://www.w3schools.com/python): Offers interactive Python courses and coding exercises. Great for beginners.
2. Learn Python (https://learnpython.org/): Good resource for beginners
3. Freecodecamp (https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course): Offers Python courses, including those from top universities. You can earn certificates upon completion.
4. Hackerrank (https://www.hackerrank.com/domains/tutorials/10-days-of-python): Offers Python tutorials and coding challenges to practice your skills.
5. Google (https://developers.google.com/edu/python): Free resource to learn python from Google.
6. Project Euler (https://projecteuler.net/): Provides mathematical and computational problems that can be solved with Python. Great for honing your programming skills.
7. Python.org (https://docs.python.org/3/tutorial/index.html): The official Python website has a tutorial section that includes exercises and examples to practice Python concepts.
8. GitHub (https://github.com/): Explore Python repositories, contribute to open-source projects, or start your own Python project to build a portfolio.
9. Kaggle (https://www.kaggle.com/): Offers Python datasets, competitions, and notebooks for data science and machine learning projects.
10. Udemy (https://bit.ly/45q7pxh): Amazing course to master Python in 100 days with coding challenges with certificate. Learn data science, automation, build websites, games and apps!
11. Real Python (https://realpython.com/): Offers tutorials and articles on various Python topics, including practical projects.
Remember that practice is key to mastering Python. Choose projects and exercises that align with your interests and goals, and don't hesitate to explore multiple platforms to diversify your learning experience.
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3. JavaScript: Web game
4. Java: Android game
5. Python: Prototypes (Pygame)
6. Lua: Scripting (Roblox)
7. Swift: iOS games
8. Objective-C: Legacy iOS/macOS
9. Rust: System-level (Amethyst)
10. Go: Multiplayer servers
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Here are 10 project ideas to work on for Data Analytics
1. Customer Churn Prediction: Predict customer churn for subscription-based services. Skills: EDA, classification models. Tools: Python, Scikit-Learn.
2. Retail Sales Forecasting: Forecast sales using historical data. Skills: Time series analysis. Tools: Python, Statsmodels.
3. Sentiment Analysis: Analyze sentiments in product reviews or tweets. Skills: Text processing, NLP. Tools: Python, NLTK.
4. Loan Approval Prediction: Predict loan approvals based on credit risk. Skills: Classification models. Tools: Python, Scikit-Learn.
5. COVID-19 Data Analysis: Explore and visualize COVID-19 trends. Skills: EDA, visualization. Tools: Python, Tableau.
6. Traffic Accident Analysis: Discover patterns in traffic accidents. Skills: Clustering, heatmaps. Tools: Python, Folium.
7. Movie Recommendation System: Build a recommendation system using user ratings. Skills: Collaborative filtering. Tools: Python, Scikit-Learn.
8. E-commerce Analysis: Analyze top-performing products in e-commerce. Skills: EDA, association rules. Tools: Python, Apriori.
9. Stock Market Analysis: Analyze stock trends using historical data. Skills: Moving averages, sentiment analysis. Tools: Python, Matplotlib.
10. Employee Attrition Analysis: Predict employee turnover. Skills: Classification models, HR analytics. Tools: Python, Scikit-Learn.
And this is how you can work on
Hereโs a compact list of free resources for working on data analytics projects:
1. Datasets
โข Kaggle Datasets: Wide range of datasets and community discussions.
โข UCI Machine Learning Repository: Great for educational datasets.
โข Data.gov: U.S. government datasets (e.g., traffic, COVID-19).
2. Learning Platforms
โข YouTube: Channels like Data School and freeCodeCamp for tutorials.
โข 365DataScience: Data Science & AI Related Courses
3. Tools
โข Google Colab: Free Jupyter Notebooks for Python coding.
โข Tableau Public & Power BI Desktop: Free data visualization tools.
4. Project Resources
โข Kaggle Notebooks & GitHub: Code examples and project walk-throughs.
โข Data Analytics on Medium: Project guides and tutorials.
ENJOY LEARNING โ
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#datascienceprojects
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