What do you need to learn for python backend development?
Basic skills for Python backend development include: Python programming language Data structures and algorithms Relational and non-relational databases Web frameworks (Django or Flask) RESTful API development Operating system knowledge Version control Debugging and error handling Data validation and security
Skills required for Python backend development
Basic skills
- Python Programming Language: Proficient in Python's syntax, data types, control flow, and object-oriented programming concepts.
- Data structures and algorithms: Master common data structures (such as lists, dictionaries, sets) and algorithms (such as sorting, search).
Database
- Relational database: Be familiar with SQL queries and understand common database management systems (such as MySQL, PostgreSQL).
- Non-relational databases: Understand NoSQL databases (such as MongoDB, Redis) and their advantages.
Web Framework
- Django or Flask:Proficient in at least one Python Web framework and understand its MVC architecture and URL configuration and view handling.
- RESTful API Development: Understand the principles and design patterns of RESTful APIs and be able to build and test APIs using Python.
Others
- Operating system knowledge: Familiar with Unix/Linux operating system, understanding of file system and process management.
- Version Control: Understand version control systems such as Git and be able to manage code libraries.
- Debugging and error handling: Ability to use debugging tools (such as pdb) and error handling mechanisms to troubleshoot problems.
- Data Validation and Security: Learn best practices for data validation and web application security.
Extended skills
- Cloud computing: Understand cloud platforms such as AWS or Azure, and be able to deploy and manage back-end services .
- Microservice Architecture: Understand the principles and implementation of microservice architecture and be able to design and build scalable back-end systems.
- Containerization: Understand containerization technologies such as Docker and be able to use containers to deploy and manage back-end applications.
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