Python GitHub projects
Python GitHub projects
Here are some popular Python GitHub projects:
1. NumPy
NumPy (Numerical Python) is a library for working with arrays and mathematical operations. It's widely used in scientific computing, data analysis, and machine learning.
GitHub Link: https://github.com/numpy/numpy
2. scikit-learn
scikit-learn (formerly sci-kit learn) is a popular open-source machine learning library. It includes various algorithms for classification, regression, clustering, and more.
GitHub Link: https://github.com/scikit-learn/scikit-learn
3. TensorFlow
TensorFlow is an open-source software framework for dataflow and differentiable programming across a range of tasks. It's widely used in deep learning and AI applications.
GitHub Link: https://github.com/tensorflow/tensorflow
4. Keras
Keras is a high-level neural networks API that can run on top of TensorFlow, CNTK, or Theano. It's popular for building and training deep learning models.
GitHub Link: https://github.com/keras-keras/keras
5. Pillow
Pillow (Python Imaging Library) is an open-source library for image processing and manipulation. It includes features for opening, manipulating, and saving images in various formats.
GitHub Link: https://github.com/python-pillow/Pillow
6. PyTorch
PyTorch is an open-source machine learning library that focuses on ease of use, speed, and flexibility. It's used in areas such as natural language processing, computer vision, and reinforcement learning.
GitHub Link: https://github.com/pytorch/pytorch
7. Statsmodels
Statsmodels is a Python library for statistical modeling and analysis. It provides various statistical techniques for data analysis, including regression, time series analysis, and hypothesis testing.
GitHub Link: https://github.com/statsmodels/statsmodels
8. OpenCV
OpenCV (Open Source Computer Vision Library) is a computer vision library that provides algorithms and tools for image processing, feature detection, object recognition, and more.
GitHub Link: https://github.com/opencv/opencv-python
9. SciPy
SciPy (Scientific Python) is an open-source scientific computing library that provides various functions for tasks such as signal processing, linear algebra, optimization, and statistics.
GitHub Link: https://github.com/scipy/scipy
10. Matplotlib
Matplotlib is a popular data visualization library in Python. It provides a wide range of tools for creating high-quality 2D and 3D plots, charts, and graphs.
GitHub Link: https://github.com/matplotlib/matplotlib
These are just a few examples of the many amazing Python GitHub projects out there. Each project has its unique features, strengths, and applications in various fields.
How is python programming done github pdf
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Python is an easy-to-learn programming language with a vast number of libraries and applications. As the popularity of Python increases, so do the number of resources available online. GitHub is one such platform that offers a wide variety of Python-related projects, tutorials, and resources.
There are several ways to learn Python on GitHub:
Explore open-source Python projects: GitHub has millions of open-source projects in Python, covering various domains like data science, machine learning, web development, and more. You can explore these projects, study the code, and even contribute to them. View Python-related tutorials and guides: Many developers create and share their own tutorials and guides on GitHub. These resources cover topics like Python basics, advanced concepts, frameworks, libraries, and more. Study GitHub's official Python tutorial: GitHub has an official Python tutorial that covers the language fundamentals, including variables, data types, control structures, functions, and modules. Check out popular Python libraries and frameworks: Many popular Python libraries and frameworks, like NumPy, pandas, TensorFlow, Keras, Flask, Django, etc., have their own GitHub repositories where you can find documentation, examples, and code.Here are some specific resources you can check out:
"Python Tutorial" by the GitHub Team: This is an official tutorial that covers Python basics, including variables, data types, control structures, functions, and modules. "Learn Python" by FreeCodeCamp: A step-by-step guide to learning Python, covering topics like basic syntax, control structures, functions, and more. "Python Crash Course" by Eric Matthes: This is a comprehensive resource that covers the basics of Python programming, including data types, control structures, functions, classes, modules, and more. "Python for Data Analysis" by Wes McKinney: A step-by-step guide to learning Python for data analysis, covering topics like NumPy, pandas, Matplotlib, and Scikit-Learn.In conclusion, GitHub is an excellent platform to learn Python programming, with a vast number of resources available, including open-source projects, tutorials, guides, and official documentation. You can explore these resources, study the code, and even contribute to them. Happy learning!