PYTHON:15 DAYS STUDY PLAN
In this article, we will outline a structured learning plan to help you grasp the fundamentals of Python programming in just 15 days.
Day 1–3: Getting Started
Day 1: Introduction to Python On your first day, introduce yourself to Python. Familiarize yourself with its history, popularity, and applications. Set up your Python environment by installing Python on your computer, and understand how to run Python scripts.
Day 2: Python Syntax and Variables Begin with the basics of Python syntax, including indentation and commenting. Learn how to declare and manipulate variables. Start writing simple Python programs to practice your newfound knowledge.
Day 3: Data Types and Operators Explore the different data types in Python, such as integers, floats, strings, and booleans. Understand operators for performing arithmetic, comparison, and logical operations.
Day 4–6: Control Structures
Day 4: Control Structures (if, elif, else) Learn about conditional statements (if, elif, else) to make decisions in your Python programs. Practice writing conditional code to control program flow.
Day 5: Loops (for and while) Dive into loops — for and while — to repeat actions in your programs. Master the art of iterating over sequences and creating loops that execute until a certain condition is met.
Day 6: Lists and Tuples Study data structures like lists and tuples. Understand how to create, modify, and access elements in these collections.
Day 7–9: Data Structures
Day 7: Dictionaries and Sets Delve into dictionaries and sets, which are essential data structures in Python. Learn how to use dictionaries for key-value pairs and sets for unique elements.
Day 8: Functions and Modules Start building reusable code with functions. Discover how to create your functions and understand the importance of modular programming. Explore Python’s built-in modules and libraries.
Day 9: File Handling Learn how to read from and write to files in Python. This skill is crucial for working with data and external resources.
Day 10–15: Advanced Concepts
Day 10–12: Exception Handling Explore error handling in Python using try-except blocks. Learn how to handle different types of exceptions gracefully.
Day 13: Object-Oriented Programming (OOP) Get acquainted with the principles of OOP, including classes, objects, inheritance, and encapsulation.
Day 14–15: Libraries and Frameworks Discover the rich ecosystem of Python libraries and frameworks. Familiarize yourself with popular libraries like NumPy, pandas, and matplotlib for data manipulation and visualization.
