Beginner Python

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About This Class

This curriculum is designed to guide you through the fundamentals of Python and equip you with the basic skills to start building small programs and scripts. It should take approximately 2-3 months to complete, depending on your pace and dedication.

Free

Lessons: 12

Skill Level: Beginner

Duration: 1h

Date: Sat, Sun

What skills will I learn?

Week 1

Setting Up:
Install Python on your computer.
Learn basic navigation in a Python environment (IDE or interactive console).
Understand fundamental concepts like variables, data types, and operators.

Week 2

Control Flow:
Master conditional statements with if, else, and elif.
Learn how to control program flow using loops (for and while).
Practice making decisions and repeating tasks based on specific conditions.

Week 3

Functions and Modules:
Understand the concept of functions to write reusable code blocks.
Learn how to import and use modules for additional functionality.
Practice defining and calling functions to organize your code and break down complex tasks.

Week 4

Debugging and Error Handling:
Learn how to identify and fix errors (bugs) in your code.
Understand common Python errors and how to fix them.
Develop good debugging practices and techniques for troubleshooting your programs.

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Week 5

Data Structures:
Learn about lists, tuples, dictionaries, and sets for storing and organizing data.
Master how to manipulate and access elements within these data structures.
Practice using them to solve various coding problems.

Week 6

Input and Output:
Learn how to accept user input through the input() function.
Understand how to print data to the console using print().
Practice working with user interaction and data in your programs.

Week 7

Introduction to Files and Exceptions:
Learn how to read and write data from text files.
Understand how to handle exceptions (errors) that may occur while working with files.
Practice reading and writing basic data to files for persistence.

Week 8

Exploring Python Libraries:
Discover useful libraries like NumPy (numerical computing) and Matplotlib (data visualization).
Learn how to install and use these libraries to expand your coding capabilities.
Practice basic tasks with these libraries to gain hands-on experience.

Week 9-12

Choose a beginner-friendly project:
Build a simple game, a text-based calculator, a data analysis script, or a web scraper.
Apply your skills to create something practical and engaging that interests you.
Focus on project completion and problem-solving to solidify your learning.