jackfrued/Python-100-Days
Python 100 Days
This project is a comprehensive, day-by-day curriculum designed to guide learners through the Python programming language and its professional applications. The content spans from fundamental syntax and object-oriented design to advanced topics including database management, web development, data analysis, and machine learning.
The curriculum is structured into distinct modules that cover practical software engineering practices, such as version control, containerization, and system architecture. It also provides resources for technical interview preparation and an analysis of career paths within the software development and data science ecosystems. The material is delivered through a series of structured lessons and practical exercises.
Features
- Programming Tutorials - An introduction to programming concepts, environment setup, and basic syntax for a high-level, interpreted language.
- Python Tutorials - Covers set creation, mathematical operations, and membership testing.
- Machine Learning Fundamentals - An introduction to machine learning concepts, history, and workflows.
- Data Analysis Tutorials - Covers advanced indexing techniques for time-series and hierarchical data.
- Web Development Tutorials - Covers file upload handling and server-side processing.
- Web Frameworks - Covers web application development, including request handling, object-relational mapping, authentication, and API design.
- Data Analysis - Covers data analysis workflows, including numerical computing, data manipulation, and visualization libraries.
- Relational Databases - Covers relational database management, SQL syntax, database administration, and integration with application code.
- Web Scraping Fundamentals - An introduction to web scraping concepts, ethics, and toolsets.
- Python Concurrency - Covers multi-threading, multi-processing, and asynchronous I/O models.