![\"Python](\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/03\/Python-Libraries-011.jpg\")
<\/a>Python Libraries – Python Standard Library & List of Important Libraries<\/p><\/div>\n
What are the Python Libraries?<\/h3>\n
We know that a module is a file with some Python code, and a package is a directory for sub-packages and modules. But the line between a package and a Python library is quite blurred.<\/p>\n
A Python library is a reusable chunk of code that you may want to include in your programs\/ projects.<\/p>\n
Compared to languages like C++ or C, Python libraries do not pertain to any specific context in Python. Here, a \u2018library\u2019 loosely describes a collection of core modules.<\/p>\n
Essentially, then, a library is a collection of modules. A package is a library that can be installed using a package manager like rubygems or npm.<\/p>\n
Popular Python libraries used in multiple domains:<\/strong><\/p>\n The Python Standard Library is a collection of exact syntax, tokens, and semantics of Python. It comes bundled with the core Python distribution. We mentioned this when we began with an introduction.<\/p>\n It is written in C and handles functionality like I\/O and other core modules. All this functionality together makes Python the language it is.<\/p>\n More than 200 core modules sit at the heart of the standard library. This library ships with Python.<\/p>\n But in addition to this library, you can also access a growing collection of several thousand components from the Python Package Index (PyPI). We mentioned it in the previous blog.<\/p>\n Next, we will see a list of twenty Python libraries that will take you places in your journey with Python.<\/p>\n These are also the Python libraries for Data Science.<\/p>\n Matplotlib helps with data analysis and is a numerical plotting library. We talked about it in Python for Data Science.<\/p>\n Python Libraries Tutorial- matplotlib<\/p><\/div>\n Like we\u2019ve said before, Pandas is a must for data science.<\/p>\n It provides fast, expressive, and flexible data structures to easily (and intuitively) work with structured (tabular, multidimensional, potentially heterogeneous) and time-series data.<\/p>\n Python Libraries Tutorial – Pandas<\/p><\/div>\n Requests is a Python Library that lets you send HTTP\/1.1 requests, add headers, form data, multipart files, and parameters with simple Python dictionaries.<\/p>\n It also lets you access the response data in the same way.<\/p>\n Python Libraries Tutorial- Requests<\/p><\/div>\n It has advanced math functions and a rudimentary scientific computing package.<\/p>\n Python Libraries Tutorial – NumPy<\/p><\/div>\n Python Libraries Tutorial – SQLAlchemy Overview<\/p><\/div>\n SQLAlchemy is a library with well-known enterprise-level patterns.<\/p>\n It was designed for efficient and high-performing database access.<\/p>\n It may be a bit slow, BeautifulSoup has an excellent XML- and HTML- parsing library for beginners.<\/p>\n Python Libraries Tutorial – BeautifulSoup<\/p><\/div>\n Pyglet is an excellent choice for an object-oriented programming interface in developing games.<\/p>\n In fact, it also finds use in developing other visually-rich applications for Mac OS X, Windows, and Linux.<\/p>\n In the 90s, when people were bored, they resorted to playing Minecraft on their computers. Pyglet is the engine behind Minecraft.<\/p>\n Python Libraries Tutorial – Pyglet<\/p><\/div>\n Next up is SciPy, one of the libraries we have been talking so much about. It has a number of user-friendly and efficient numerical routines.<\/p>\n These include routines for optimization and numerical integration.<\/p>\n Python Libraries Tutorial- SciPy<\/p><\/div>\n If your motive is fast, high-level screen scraping and web crawling, go for Scrapy.<\/p>\n You can use it for purposes from data mining to monitoring and automated testing.<\/p>\n Python Libraries Tutorial- Scrapy<\/p><\/div>\n PyGame provides an extremely easy interface to the Simple DirectMedia Library (SDL) platform-independent graphics, audio, and input libraries.<\/p>\n Python Libraries Tutorial – PyGame<\/p><\/div>\n An event-driven networking engine, Twisted is written in Python, and licensed under the open-source MIT license.<\/p>\n Python Libraries Tutorial – Twisted<\/p><\/div>\n Pillow is a friendly fork of PIL (Python Imaging Library), but it is more user-friendly.<\/p>\n If you work with images, Pillow is your best friend.<\/p>\n Python Libraries Tutorial- Pillow<\/p><\/div>\n This provides useful methods and classes for interaction with Windows, as the name suggests.<\/p>\n Python pywin32\u00a0Library<\/p><\/div>\n It is a wrapper around wxWidgets for Python.<\/p>\n Python wxPython\u00a0Library<\/p><\/div>\n iPython Python Library has an architecture that facilitates parallel and distributed computing.<\/p>\n With it, you can develop, execute, debug, and monitor parallel applications.<\/p>\n Python Library – iPython<\/p><\/div>\n Nose delivers an alternate test discovery and running process for unittest. This intends to mimic py.test\u2019s behavior as much as it can.<\/p>\n Python Nose\u00a0Library<\/p><\/div>\n A web framework, Flask, is built with a small core and many extensions.<\/p>\n Python Flask\u00a0Library<\/p><\/div>\n It is an open-source library for symbolic math.<\/p>\n With very simple and comprehensible code that is easily extensible, SymPy is a full-fledged Computer Algebra System (CAS).<\/p>\n It is written in Python and hence does not need external libraries.<\/p>\n Python SymPy\u00a0Library<\/p><\/div>\n Along with being a library, Fabric is a command-line tool for streamlining the use of SSH for application deployment or systems administration tasks.<\/p>\n With it, you can execute local or remote shell commands, upload\/download files, and even prompt running user for input, or abort execution.<\/p>\n\n
Python Standard Library<\/h3>\n
Important Python Libraries<\/h3>\n
1. Matplotlib in Python<\/h4>\n
<\/a>2. Pandas in Python<\/h4>\n
<\/a>3. Requests in Python<\/h4>\n
<\/a>4. NumPy in Python<\/h4>\n
<\/a>5. SQLAlchemy in Python<\/h4>\n
<\/a>6. BeautifulSoup in Python<\/h4>\n
<\/a>7. Pyglet in Python<\/h4>\n
<\/a>8. SciPy in Python<\/h4>\n
<\/a>9. Scrapy in Python<\/h4>\n
<\/a>10. PyGame in Python<\/h4>\n
<\/a>11. Python Twisted<\/h4>\n
<\/a>12. Pillow in Python<\/h4>\n
<\/a>13. pywin32 in Python<\/h4>\n
<\/a>14. wxPython in Python<\/h4>\n
<\/a>15. iPython<\/h4>\n
<\/a>16. Nose in Python<\/h4>\n
<\/a>17. Flask in Python<\/h4>\n
<\/a>18. SymPy in Python<\/h4>\n
<\/a>19. Fabric in Python<\/h4>\n