Python full-stack development refers to the process of building complete web applications using Python for both the front-end (client-side) and back-end (server-side) components. While Python is primarily known for its back-end capabilities, frameworks and libraries exist to facilitate front-end development within the Python ecosystem.
What you'll learn
Python full-stack development refers to the process of building complete web applications using Python for both the front-end (client-side) and back-end (server-side) components. While Python is primarily known for its back-end capabilities, frameworks and libraries exist to facilitate front-end development within the Python ecosystem.
Show More
Curriculum Objectives
1. Front-end Development:
HTML, CSS, and JavaScript: These are fundamental for creating the structure, styling, and interactivity of web pages.
Python-based Front-end Frameworks: While less common than JavaScript frameworks, options like Reflex allow building interactive web applications using pure Python, eliminating the need for extensive JavaScript knowledge.
2. Back-end Development:
Python: The core language for server-side logic, data processing, and API development.
Web Frameworks:
Django: A high-level, robust framework known for its "batteries-included" approach, offering a comprehensive set of features for rapid development.
Flask: A lightweight and flexible microframework, suitable for smaller projects or when more control over components is desired.
3. Database Management::
SQL Databases: Proficiency with databases like PostgreSQL, MySQL, or SQLite is essential for storing and retrieving application data.
NoSQL Databases: Familiarity with NoSQL options like MongoDB can also be beneficial depending on project requirements.
4. API Development:
Creating RESTful APIs to enable communication between the front-end and back-end.
Version Control:
Using systems like Git for collaborative development and tracking code changes.
Deployment:
Understanding how to deploy and host web applications on servers.
5. Readability and Simplicity:
Python's clear syntax and ease of learning make development efficient.
Extensive Libraries and Ecosystem:
A vast collection of libraries and frameworks streamlines various development tasks.
Versatility:
Python's capabilities extend beyond web development, including data science, machine learning, and automation, offering diverse career paths.
Strong Community Support:
A large and active community provides resources, support, and continuous updates.