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https://github.com/DjangoEx/awesome-python-roadmaps
Awesome Python roadmaps
https://github.com/DjangoEx/awesome-python-roadmaps
List: awesome-python-roadmaps
Last synced: 3 months ago
JSON representation
Awesome Python roadmaps
- Host: GitHub
- URL: https://github.com/DjangoEx/awesome-python-roadmaps
- Owner: DjangoEx
- License: apache-2.0
- Created: 2023-04-16T15:27:44.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-10-12T01:35:24.000Z (about 1 year ago)
- Last Synced: 2024-05-21T19:05:30.383Z (6 months ago)
- Homepage:
- Size: 11.7 KB
- Stars: 123
- Watchers: 5
- Forks: 13
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- ultimate-awesome - awesome-python-roadmaps - Awesome Python roadmaps. (Other Lists / PowerShell Lists)
README
# Awesome Python Roadmaps
## Awesome Roadmaps
As we are not interested in reinventing the wheel, we recommend you follow the following roadmaps to ace your career as a Python Software Engineer in each career path you would like to work which can be done via Python programming language.### Awesome Python Roadmaps
- Basic Knowledge
- [Computer Science Roadmap](https://roadmap.sh/computer-science)
- [Python Developer Roadmap](https://roadmap.sh/python)- Career Path
- [Backend Developer Roadmap](https://roadmap.sh/backend)
- [Software Design and Architecture Roadmap](https://roadmap.sh/software-design-architecture)
- [Data Sciecnce Roadmap](https://i.am.ai/roadmap/#data-science-roadmap)
- [Machine Learning Roadmap](https://i.am.ai/roadmap/#machine-learning-roadmap)
- [Deep Learning Roadmap](https://i.am.ai/roadmap/#deep-learning-roadmap)
- [Data Engineer Roadmap](https://github.com/datastacktv/data-engineer-roadmap)
- [Big Data Engineer Roadmap](https://i.am.ai/roadmap/#big-data-engineer-roadmap)
- [System Design Roadmap](https://roadmap.sh/system-design)
- [Software Architect Roadmap](https://roadmap.sh/software-architect)**Resources**
The following resources include books, videos, articles, etc. collected by [DjangoEx](https://github.com/DjangoEx) community is recommended. Feel free to contribute and add awesome resources.
- [Prerequisites](https://github.com/DjangoEx/awesome-python-resources#prerequisites)
- [Algorithms and Data Structures](https://github.com/DjangoEx/awesome-python-resources#algorithms-and-data-structures)
- [System Design](https://github.com/DjangoEx/awesome-python-resources#system-design)
- [Git](https://github.com/DjangoEx/awesome-python-resources#git)
- [Operating System](https://github.com/DjangoEx/awesome-python-resources#operating-system)
- [Virtual Environment](https://github.com/DjangoEx/awesome-python-resources#virtual-environment)
- [Python](https://github.com/DjangoEx/awesome-python-resources#python)
- [Career Path](https://github.com/DjangoEx/awesome-python-resources#career-path)
- [Backend](https://github.com/DjangoEx/awesome-python-resources#backend)
- [Data Science](https://github.com/DjangoEx/awesome-python-resources#data-science)
- [Machine Learning](https://github.com/DjangoEx/awesome-python-resources#machine-learning)
- [Deep Learning](https://github.com/DjangoEx/awesome-python-resources#deep-learning)
- [Neural Networks](https://github.com/DjangoEx/awesome-python-resources#neural-networks)
- [Image Processing](https://github.com/DjangoEx/awesome-python-resources#image-processing)
- [DevOps](https://github.com/DjangoEx/awesome-python-resources#devops)
- [Hacking](https://github.com/DjangoEx/awesome-python-resources#hacking)
- [Algorithmic Trading](https://github.com/DjangoEx/awesome-python-resources#algorithmic-trading)
- [Bot](https://github.com/DjangoEx/awesome-python-resources#bot)
- [Advanced Topics](https://github.com/DjangoEx/awesome-python-resources#advanced-topics)
- [Databases](https://github.com/DjangoEx/awesome-python-resources#databases)
- [ORM](https://github.com/DjangoEx/awesome-python-resources#orm)
- [Clean Code](https://github.com/DjangoEx/awesome-python-resources#clean-code)
- [Clean Architecture](https://github.com/DjangoEx/awesome-python-resources#clean-architecture)
- [Caching](https://github.com/DjangoEx/awesome-python-resources#caching)
- [Testing](https://github.com/DjangoEx/awesome-python-resources#testing)
- [Container Platforms](https://github.com/DjangoEx/awesome-python-resources#container-platforms)
- [Programming Paradigms](https://github.com/DjangoEx/awesome-python-resources#programming-paradigms)
- [Architectural Patterns](https://github.com/DjangoEx/awesome-python-resources#architectural-patterns)
- [Design Principles](https://github.com/DjangoEx/awesome-python-resources#design-principles)
- [Design Patterns](https://github.com/DjangoEx/awesome-python-resources#design-patterns)
- [Message Brokers](https://github.com/DjangoEx/awesome-python-resources#message-brokers)
- [WSGI Servers](https://github.com/DjangoEx/awesome-python-resources#wsgi-servers)
- [ASGI Servers](https://github.com/DjangoEx/awesome-python-resources#asgi-servers)
- [Web Servers](https://github.com/DjangoEx/awesome-python-resources#web-servers)
- [API](https://github.com/DjangoEx/awesome-python-resources#api)
- [Availability and Reliability](https://github.com/DjangoEx/awesome-python-resources#availability-and-reliability)
- [Distributed Systems](https://github.com/DjangoEx/awesome-python-resources#distributed-systems)
- [Reactive Systems](https://github.com/DjangoEx/awesome-python-resources#reactive-systems)
- [Refactoring](https://github.com/DjangoEx/awesome-python-resources#refactoring)
- [Security](https://github.com/DjangoEx/awesome-python-resources#security)
- [Monitoring](https://github.com/DjangoEx/awesome-python-resources#monitoring)
- [Soft Skill](https://github.com/DjangoEx/awesome-python-resources#soft-skill)
- [Public Cloud](https://github.com/DjangoEx/awesome-python-resources#public-cloud)
- [IoT](https://github.com/DjangoEx/awesome-python-resources#iot)### Contribution
Before you head over, read the [Contribution Guide](CONTRIBUTING.md) first. You are new to contribution process? For more information about the steps and guides, check out the [First Contribution Guide](https://github.com/firstcontributions/first-contributions).