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Collection: Common Crawl

Web crawl data from Common Crawl.

TIMESTAMPS

The Wayback Machine - http://web.archive.org/web/20201028060405/https://www.fullstackpython.com/

Full Stack Python All topics | Blog | Supporter's Edition | @fullstackpython | Facebook | What's new?

Build, Deploy and Operate Python Applications

You're knee deep in learning Python programming. The syntax is starting to make sense. The first few ahh-ha! moments hit you as you learn to use conditional statements, for loops and classes while coding with the open source libraries that make Python such an amazing programming ecosystem. Now you want to take your initial Python knowledge and make something real, like a web application to show off to friends or sell as a service to customers. That's where Full Stack Python comes in. You have come to the right place to learn everything you need to create, deploy and operate Python-powered applications. Full Stack Python is an open source book that explains technical concepts in plain language. Read everything online for free or purchase the Supporter's Edition for nicely-formatted ebook (PDF, EPUB, MOBI) versions. This guide branches out on topic because your learning requirements depend on what you're working on. Choose a topic from the links below or view the full table of contents to see even more subjects you can learn.

What do you need to learn first?

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1. Introduction

1.1 Learning Programming

The Python Language Why Use Python? Python 2 or 3? Enterprise Python

1.2 Python Community

Companies Using Python Best Python Resources Must-watch Python Videos Podcasts

2. Development Environments

2.1 Text Editors and IDEs

Vim Emacs Sublime Text PyCharm Jupyter Notebook

2.2 Shells

Bourne-again shell (Bash) Zsh PowerShell

2.3 Terminal multiplexers

2.4 Environment configuration

Application dependencies virtual environments (virtualenvs) Localhost tunnels

2.5 Source Control

3. Data

3.1 Relational databases

PostgreSQL MySQL SQLite

3.2 Object-relational mappers

SQLAlchemy Peewee Django ORM Pony ORM

3.3 NoSQL

Redis MongoDB Apache Cassandra Neo4j

3.4 Data analysis

pandas SciPy & Numpy

3.5 Data visualization

Bokeh d3.js Matplotlib

3.6 Markup Languages

Markdown reStructuredText

4. Web Development

4.1 Web Frameworks

Django Flask Bottle Pyramid TurboGears Falcon Morepath Sanic Other web frameworks

4.2 Template Engines

Jinja2 Mako Django Templates

4.3 Web design

HTML CSS Responsive Design Minification

4.4 CSS Frameworks

Bootstrap Foundation

4.5 JavaScript

React Vue.js Angular

4.6 Task queues

Celery Redis Queue (RQ) Dramatiq

4.7 Static site generators

Pelican Lektor MkDocs

4.8 Testing

Unit testing Integration testing Debugging Code Metrics

4.9 Networking

HTTPS WebSockets WebRTC

4.10 Web APIs

Microservices Webhooks Bots

4.11 API creation

API Frameworks Django REST Framework

4.12 API integration

Twilio Stripe Slack Okta

4.13 Web application security

SQL injection Cross-Site Request Forgery

5. Web App Deployment

5.1 Hosting

Servers Static content Content Delivery Networks (CDNs)

5.2 Virtual Private Servers (VPSs)

Linode DigitalOcean Lightsail

5.3 Platform-as-a-Service

Heroku PythonAnywhere AWS CodeStar

5.4 Operating systems

Ubuntu Linux macOS FreeBSD Windows

5.5 Web servers

Apache HTTP Server Nginx Caddy

5.6 WSGI servers

Green Unicorn uWSGI mod_wsgi

5.7 Continuous integration

5.8 Configuration management

5.9 Containers

Docker Kubernetes

5.10 Serverless Architectures

AWS Lambda Azure Functions Google Cloud Functions

6. DevOps

6.1 Monitoring

Datadog Prometheus Rollbar Sentry

6.2 Web App Performance

Logging Caching Web Analytics

7. Meta

Change log About the author What "full stack" means Page Statuses Future directions

Matt Makai 2012-2020