Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation via the off-side rule. Python is dynamically typed and garbage-collected.

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Built for engineers

Use this learning plan to master Python and build web and machine learning applications using some of the most popular frameworks in the industry.


  1. Getting Started
    • Understand the basics of programming concepts such as variables, data types, operators, and control flow.
  2. Core Python
    • Learn the fundamentals of the Python language, including syntax, built-in data structures (lists, dictionaries, tuples), and functions.
    • Understand file handling operations, exception handling, and input/output operations.
    • Explore object-oriented programming (OOP) concepts in Python, including classes, objects, inheritance, and polymorphism.
  3. Python Libraries and Packages
    • Familiarize yourself with essential Python libraries and packages such as NumPy, Pandas, and Matplotlib for data manipulation and analysis.
    • Learn how to install and use external packages using pip, Python's package installer.
    • Understand how to leverage the power of Python libraries to enhance your programming capabilities.
  4. Working with Databases
    • Learn how to connect and interact with databases using Python libraries like SQLite3 or MySQL.
    • Understand SQL queries, CRUD operations (Create, Read, Update, Delete), and database transactions in Python.
    • Explore ORM (Object-Relational Mapping) frameworks such as SQLAlchemy to work with databases more efficiently.

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