Python Interviews

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Essential Python Libraries for Data Analytics 👇👇 https://t.me/sqlspecialist/522

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Data Analysts

Essential Python Libraries for Data Analytics 😄👇 Python Free Resources:

https://t.me/pythondevelopersindia

1. NumPy: - Efficient numerical operations and array manipulation. 2. Pandas: - Data manipulation and analysis with powerful data structures (DataFrame, Series). 3. Matplotlib: - 2D plotting library for creating visualizations. 4. Scikit-learn: - Machine learning toolkit for classification, regression, clustering, etc. 5. TensorFlow: - Open-source machine learning framework for building and deploying ML models. 6. PyTorch: - Deep learning library, particularly popular for neural network research. 7. Django: - High-level web framework for building robust, scalable web applications. 8. Flask: - Lightweight web framework for building smaller web applications and APIs. 9. Requests: - HTTP library for making HTTP requests. 10. Beautiful Soup: - Web scraping library for pulling data out of HTML and XML files. As a beginner, you can start with Pandas and Numpy libraries…

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This channels is for Programmers, Coders, Software Engineers. 0- Python 1- Data Science 2- Machine Learning 3- Data Visualization 4- Artificial Intelligence 5- Data Analysis 6- Statistics 7- Deep Learning 8- programming Languages ✅ Best channels on Telegram: https://t.me/addlist/JbC2D8X2g700ZGMx ✅ Free Courses with Certificate: https://t.me/free4unow_backup

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Advanced Guide to Python 3 Programming (2020).pdf22.91 MB

24. Object Oriented Programming

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24. Object Oriented Programming.zip176.82 MB

33. Web Scraping Project

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33. Web Scraping Project.zip272.72 MB

19. Functions Part II

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19. Functions Part II.zip61.62 MB

21. Debugging and Error Handling

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21. Debugging and Error Handling.zip98.63 MB

25. Deck Of Cards Exercise

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25. Deck Of Cards Exercise.zip94.56 MB

29. Testing With Python

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29. Testing With Python.zip209.48 MB