Roadmap to becoming a Python developer in 2022-2023: Below you can find a chart demonstrating the paths that you can take and the libraries that you would want to learn to become a Python developer. I made this chart as a tip for everyone who asks me, “What should I learn next as a Python developer?“
Disclaimer
The purpose of this roadmap is to give you an idea about the landscape. The road map will guide you if you are confused about what to learn next, rather than encouraging you to pick what is hype and trendy. You should grow some understanding of why one tool would be better suited for some cases than the other and remember hype and trendy does not always mean best suited for the job.
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Roadmap
TODO:
- Add Microservices
- Good to Know Libraries
- Add API Clients
- Add extra subtree for data process and data manipulation
Resources
1: Prerequisites
- Python
- Python Modules
- SQL
2: General Development Skills
- Learn GIT, create a few repositories on GitHub, share your code with other people
- Know HTTP(S) protocol, request methods (GET, POST, PUT, PATCH, DELETE, OPTIONS)
- Don’t be afraid of using Google, Power Searching with Google
- Read a few books about algorithms and data structures
- Learn about implementation of a basic Authentication
- Solid principles, architectural & design patterns, ecc
- Basics of software testing (unit, integration, e2e)
3: CLI Tools
- google/python-fire
- click
4: Web Frameworks + Routers
- Flask
- Django
5: Databases
Relational
- SQL Server
- PostgreSQL
- MariaDB
- MySQL
Cloud Databases
- CosmosDB
- DynamoDB
Search Engines
- ElasticSearch
- Solr
- Sphinx
NoSQL
- MongoDB
- Redis
- Apache Cassandra
- RavenDB
- CouchDB
6: ORMs
- Django ORM
- SQLAlchemy
- Extra
7: Caching
Memcached
Distributed Cache
- Redis
- Memcached
8: Logging
Log Frameworks
- Delgan/loguru
- Coloredlogs
Log Management System
- Sentry.io
- Loggly.com
Distributed Tracing
- Jaeger
9: Real-Time Communication
SignalPy
Socket.IO
10: API Clients
REST
GraphQL
11: Good to Know
12: Machine Learning
- NLTK
- TensorFlow
- Keras
- PyTorch
- Scikit-Learn
- Pandas
- Numpy
13: Testing
Unit, Behavior, Integration Testing
- Pytest-mock
- Testify
- Robot
- Pytest
- Doctest
- Pytest-bdd
- Cucumber
- Dockertest
- E2E Testing
- Selenium
- Endly
14: Task Scheduling
- scedule
- Advanced Python Scheduler
15: MicroServices
Message-Broker
- RabbitMQ
- Apache Kafka
- ActiveMQ
- Azure Service Bus
Building message-driven
Frameworks
RPC
16: Python-Patterns
Wrap Up
If you think the roadmap can be improved, please do open a PR with any updates and submit any issues. Also, I will continue to improve this, so you might want to star this repository to revisit.
