Django

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. Thanks for checking it out.

All documentation is in the "docs" directory and online at https://docs.djangoproject.com/en/stable/. If you're just getting started here's how we recommend you read the docs:

• First, read docs/intro/install.txt for instructions on installing Django.
• Next, work through the tutorials in order (docs/intro/tutorial01.txt docs/intro/tutorial02.txt, etc.).
• If you want to set up an actual deployment server, read docs/howto/deployment/index.txt for instructions.
• You'll probably want to read through the topical guides (in docs/topics) next; from there you can jump to the HOWTOs (in docs/howto) for specific problems, and check out the reference (docs/ref) for gory details.
• See docs/README for instructions on building an HTML version of the docs.

Docs are updated rigorously. If you find any problems in the docs, or think they should be…

Scrapy

Overview

Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.

Scrapy is maintained by Zyte (formerly Scrapinghub) and many other contributors.

Check the Scrapy homepage at https://scrapy.org for more information including a list of features.

Requirements

• Python 3.6+
• Works on Linux, Windows, macOS, BSD

Install

The quick way:

pip install scrapy

See the install section in the documentation at https://docs.scrapy.org/en/latest/intro/install.html for more details.

Documentation

Documentation is available online at https://docs.scrapy.org/ and in the docs directory.

Releases

You can check https://docs.scrapy.org/en/latest/news.html for the release notes.

Community (blog, twitter, mail list, IRC)

See https://scrapy.org/community/ for details.

Contributing

See https://docs.scrapy.org/en/master/contributing.html for details.

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct (see https://github.com/scrapy/scrapy/blob/master/CODE_OF_CONDUCT.md…

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See the About us page for a list of core contributors.

It is currently maintained by a team of volunteers.

Website: https://scikit-learn.org

Installation

Dependencies

scikit-learn requires:

• Python (>= 3.7)
• NumPy (>= 1.14.6)
• SciPy (>= 1.1.0)
• joblib (>= 0.11)
• threadpoolctl (>= 2.0.0)

Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4. scikit-learn 0.23 and later require Python 3.6 or newer scikit-learn 1.0 and later require Python 3.7 or newer.

Scikit-learn plotting capabilities (i.e., functions start with plot_ and classes end with "Display") require Matplotlib (>= 2.2.3) For running the examples Matplotlib >= 2.2.3 is required. A few examples require scikit-image >= 0.14.5, a…

Flask

Flask is a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to complex applications. It began as a simple wrapper around Werkzeug and Jinja and has become one of the most popular Python web application frameworks.

Flask offers suggestions, but doesn't enforce any dependencies or project layout. It is up to the developer to choose the tools and libraries they want to use. There are many extensions provided by the community that make adding new functionality easy.

Installing

Install and update using pip:

$ pip install -U Flask

A Simple Example

# save this as app.py
from flask import Flask

app = Flask(__name__)

@app.route("/")
def hello():
    return "Hello, World!"

$ flask run
  * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)

Contributing

For guidance on setting…

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

Check out our home page for more information.

Matplotlib produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shell, web application servers, and various graphical user interface toolkits.

Install

For installation instructions and requirements, see the install documentation or installing.rst in the source.

Contribute

You've discovered a bug or something else you want to change - excellent!

You've worked out a way to fix it – even better!

You want to tell us about it – best of all!

Start at the contributing guide!

Contact

Discourse is the discussion forum for general questions and discussions and our recommended starting point.

Our active mailing lists (which are mirrored on Discourse) are:

• Users mailing list: matplotlib-users@python.org
• Announcement mailing list: matplotlib-announce@python.org
• Development…