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Android Apps to Learn Python
1. SoloLearn: Learn to Code
2. Pydroid 3 – IDE for Python 3
3. Enki: Learn Data Science, Coding, and Tech
4. Programming Hero: Coding Just Got Fun (Beta)
5. Udemy: Online Courses
Top 8 Python data science books for comprehensive learning
1. Python for Data Analysis by Wes McKinney
2. Data Science for Business by Foster Provost and Tom Fawcett
3. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
4. Python Machine Learning by Sebastian Raschka and Vahid Mirjalili
5. Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
6. Python for Data Science Handbook by Jake VanderPlas
7. Practical Statistics for Data Scientists by Andrew Bruce and Peter Bruce
8. Data Science from Scratch by Joel Grus
Python is a versatile and popular high-level programming language known for its simplicity and readability. Guido van Rossum created Python in the late 1980s, and it has since become a prominent language in various domains, including web development, data science, artificial intelligence, and more. In this 500-word overview, we'll explore some key aspects of Python.Python's design philosophy emphasizes code readability and a clean, easy-to-understand syntax. This makes it an ideal choice for beginners and experienced developers alike. The use of whitespace (indentation) to define code blocks rather than braces or brackets contributes to its clarity.Python's extensive standard library offers modules and functions for a wide range of tasks, reducing the need to reinvent the wheel. Whether you need to work with files, network data, or perform mathematical computations, Python's standard library likely has a solution.Python's dynamic typing means you don't need to declare variable types explicitly FloatPython supports multiple programming paradigms, including procedural, object-oriented, and functional programming. This flexibility makes it suitable for various project types.The language's interactive mode allows for real-time code execution, making it a valuable tool for testing and learning. You can enter code directly in the Python shell to see immediate results.Python has a strong community and extensive documentation. Developers can find help through online forums, tutorials, and libraries. The Python Package Index (PyPI) contains thousands of third-party packages to extend Python's functionality. You can install these packages using the pip package manager.Python's web development capabilities are notable. Popular web frameworks like Django and Flask enable rapid development of web applications. Additionally, Python's integration with databases, web servers, and APIs simplifies web development.Data science and machine learning have seen a surge in popularity partly due to Python. Libraries such as NumPy, Pandas, and Matplotlib make data analysis and visualization efficient. For machine learning and artificial intelligence, TensorFlow, Keras, and PyTorch offer powerful tools for building and training models.