Python external modules list pdf
Python external modules list pdf
I'm happy to help you with that! Here's a comprehensive list of popular and useful Python external modules in PDF format:
Python External Modules List
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Welcome to this exhaustive list of Python external modules! As a Python developer, you'll often need to utilize libraries and modules to streamline your coding process. This guide provides a comprehensive overview of the most popular and useful Python external modules.
Modules for Data Analysis and Visualization
pandas: The de facto library for data manipulation and analysis. numpy: Efficient numerical computations. matplotlib: Plotting and graphing. seaborn: Statistical graphics.
Modules for Web Development
flask: Lightweight web framework. django: Full-fledged web framework. requests: HTTP requests and interactions. BeautifulSoup: HTML parsing. Scrapy: Web scraping and crawling.Modules for Scientific Computing
scipy: Scientific computing and engineering. statsmodels: Statistical modeling and analysis. sympy: Symbolic mathematics. astropy: Astronomical calculations.Modules for Artificial Intelligence and Machine Learning
TensorFlow: Open-source machine learning framework. Keras: Deep learning with Python. OpenCV: Computer vision and image processing. NLTK: Natural language processing. spaCy: Modern natural language understanding.Modules for Database Operations
sqlite3: SQLite database operations. psycopg2: PostgreSQL database operations. mysql-connector-python: MySQL database operations. pyodbc: ODBC database operations.Modules for File and Directory Handling
os: Operating system interactions. shutil: File copying and moving. pathlib: File path manipulation. zipfile: ZIP file handling.Modules for Network and Security
socket: Low-level network programming. select: Asynchronous I/O operations. paramiko: Secure remote access. cryptography: Encryption and decryption.Modules for Text Processing
textwrap: Text formatting and wrapping. html.parser: HTML parsing. re: Regular expressions. textstat: Text statistics and analysis.Modules for Graphics and Gaming
pygame: Game development library. pyglet: Cross-platform game development. matplotlib-plotting: Interactive plots. pyOpenGL: OpenGL graphics programming.Additional Resources
Python Package Index (PyPI): The official package repository for Python libraries and modules. pip: The Python package installer. conda: The Anaconda package manager for data science.This comprehensive list should provide you with a solid foundation for exploring the world of Python external modules. Happy coding!
Python external modules list github
I'd be happy to provide you with a list of popular Python external modules on GitHub!
GitHub is an amazing platform for developers, and Python has an enormous community contributing to various open-source projects. Here's a list of some fantastic Python libraries that you might find useful:
pandas: A powerful library for data manipulation and analysis. It provides data structures such as Series (1-dimensional labeled array) and DataFrame (2-dimensional labeled data structure with columns of potentially different types).GitHub Link: https://github.com/pandas-dev/pandas
numpy: The fundamental package for scientific computing with Python, providing support for large, multi-dimensional arrays and matrices, and a wide range of high-level mathematical functions to operate on these arrays.GitHub Link: https://github.com/numpy/numpy
scikit-learn: Machine learning library for the Python programming language which provides simple and efficient tools for data mining tasks.GitHub Link: https://github.com/scikit-learn/scikit-learn
requests: A lightweight library that allows you to send HTTP requests in Python, with support for JSON and other common features.GitHub Link: https://github.com/psf/requests
flask: A micro web framework written in Python. It's classified as a microframework because it doesn't require particular tools or libraries. It has no database integration, form validation, or any other components where you are under the impression that they're present.GitHub Link: https://github.com/pallets/flask
beautifulsoup4: A Python library used for parsing HTML and XML documents, allowing you to extract specific data from these formats.GitHub Link: https://github.com/cssselect/cssselect
matplotlib: A plotting library for creating static, animated, and interactive visualizations in Python.GitHub Link: https://github.com/matplotlib/matplotlib
OpenCV: An open-source computer vision library that provides a simple and easy-to-use interface to high-performance algorithms for image processing, feature detection, tracking, object recognition and many other tasks.GitHub Link: https://github.com/opencv/opencv
scipy: A scientific computing library with an extensive range of modules for various mathematical operations such as signal processing, optimization, statistics, interpolation, linear algebra and much more.GitHub Link: https://github.com/scipy/scipy
pytest: A mature full-featured Python testing tool that makes it easy to write tests.GitHub Link: https://github.com/pytest-dev/pytest
fabric: A high-level library for automating complex command-line interactions and provides a powerful way to execute tasks in parallel, making it ideal for handling remote servers or scripts.GitHub Link: https://github.com/fabric/fabric
setuptools: The standard Python package manager. It's used for installing, building, and distributing Python packages.GitHub Link: https://github.com/pypa/setuptools
Pillow: A friendly fork of PIL (Python Imaging Library), which is a powerful open-source library in Python that adds image processing capabilities to your applications.GitHub Link: https://github.com/python-pillow/Pillow
pytz: The pytz package, also known as the timezone library for python, provides accurate and cross platform timezone calculations using the Olson timezone database.GitHub Link: https://github.com/pytz/pytz
gitpython: A Python interface to Git repositories that provides an easy-to-use API for creating and managing Git repositories.GitHub Link: https://github.com/gitpython-developers/GitPython
boto3: The Amazon Web Services (AWS) SDK for Python, which makes it simple to integrate your application with AWS services such as Amazon S3, Amazon EC2, Amazon DynamoDB, etc.GitHub Link: https://github.com/aws/boto3
azure-mgmt-compute: A Python package that provides Azure Compute Management Client.GitHub Link: https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/compute/mgmt
spotipy: A lightweight, easy-to-use Python library for the Spotify Web API.GitHub Link: https://github.com/plamere/spotipy
pyexcel: A Python package that allows you to easily read/write excel files (.xlsx, .xls) and convert Excel data into various formats such as JSON, CSV, SQL database.GitHub Link: https://github.com/thoopes/pyexcel
schedule: A Python package that helps you schedule tasks to run at specific times or dates using a simple syntax.GitHub Link: https://github.com/dbader/schedule
These are just a few examples of the many amazing Python libraries available on GitHub! Each one has its own unique features and capabilities, making them incredibly useful for various projects.
Remember to explore each library further by checking out their documentation, tutorials, and examples. Happy coding!
