Python For Complete Beginners - 2025

Learn Python fundamentals from scratch! ideal for first-time coders, business pros, and students!

What you'll learn

Install the latest stable version of Python on Windows or macOS

Run and debug Python scripts from both VS Code and the command line

Explain what variables are and assign values of type int, float, str, and bool

Perform arithmetic operations, understand operator precedence, and use type conversion

Build and manipulate strings with concatenation, f-strings, and common string methods

Gather user input with input() and convert it to numeric types when needed

Create, index, slice, and mutate lists; differentiate between positive and negative indexing

Construct and query dictionaries with .get(), .items()

Compare tuples to lists (immutability, performance characteristics)

Use sets to enforce uniqueness and perform set operations (union, intersection, difference)

Control program flow with if / elif / else statements

Iterate with for loops (including range()), list comprehensions, and enumerate()

Build while loops responsibly

Define functions with parameters, return values, and type hints

Create and activate virtual environments (python -m venv .venv) and manage dependencies with pip + requirements.txt

Parse basic command-line options using argparse (flags, positional args)

Handle more advanced argparse patterns

Distinguish syntax errors from runtime errors

Safeguard code with try / except / else / finally, catching multiple exceptions where needed

Capture exception objects as e and log/print informative messages

Raise custom errors with raise when validating user input or business rules

Decide when structured error handling is essential in real-world projects

Read from and write to text files with open() and context-manager with blocks

Append to existing files safely and explain file modes ('r', 'w', 'a')

Manipulate images with the Pillow library: open, rotate, resize, convert to grayscale

Build a reusable command-line utility that combines argparse with Pillow operations

Use typing.Optional, List, Dict, and other type-hint constructs to improve code clarity

Design lightweight classes (__init__, instance attributes, and methods) and explain self

Requirements

No prior experience in python is necessary. You just need a laptop and internet.

Description

Start learning Python the way industry newcomers actually succeed. This complete beginner course turns absolute zero experience into real coding skills through clear explanations, practical mini projects, and step by step guidance.Whether you are a first time coder who wants a solid foundation, a business professional looking to automate repetitive work, a student aiming to stay ahead in computer science class, or an aspiring AI and machine learning enthusiast who needs Python basics, this journey is designed for you.What makes this course stand out in search results and in practiceInstall and configure the latest stable Python release on Windows or macOS, then run and debug scripts from VS Code and the command lineMaster core programming concepts such as variables, data types, arithmetic operators, and type conversion so you can read and write clean code with confidenceBuild strings with concatenation and f strings, collect user input, and display dynamic output for interactive programsWork with the essential data structures that power real applications including lists, dictionaries, tuples, and setsControl program logic using if elif else blocks, for and while loops, list comprehensions, enumerate, and range for elegant iterationWrite reusable functions with parameters, return values, and modern type hints that boost clarity and enable static analysisCreate and manage virtual environments, install dependencies with pip, and generate requirements files for shareable projectsParse command line arguments of increasing complexity using argparse, turning simple scripts into professional utilitiesHandle errors like a pro by spotting syntax issues, catching runtime exceptions, and raising custom validations with informative messagesRead from and write to text files safely, then expand into basic image manipulation with the popular Pillow libraryOrganize code with lightweight classes, self references, and instance methods to prepare for object oriented patterns you will encounter laterEvery concept is reinforced with short coding challenges and real world examples so you finish the course able to create useful programs, automate tasks, and feel ready for deeper topics such as web development or AI workflows. No prior experience required, just curiosity and a computer.Join thousands of new developers who will choose Python in 2025 and start building your coding future today.

Overview

Section 1: Introduction

Lecture 1 Windows Setup

Lecture 2 MAC Setup

Section 2: Python Fundamentals

Lecture 3 Variables, data types (int, float, str, bool)

Lecture 4 Introduction to Functions

Lecture 5 Strings

Lecture 6 Arithmetic

Lecture 7 User Input & Type Casting

Section 3: Python Data Structures

Lecture 8 Lists

Lecture 9 Dictionaries

Lecture 10 Tuples

Lecture 11 Sets

Section 4: Control Flow

Lecture 12 If, else statements

Lecture 13 Loops

Lecture 14 List Comprehension

Section 5: Functions

Lecture 15 Introduction to Functions

Lecture 16 Parameters and Return Values

Lecture 17 Virtual Environments and PIP

Lecture 18 Command Line Arguments - Simple

Lecture 19 Simple Calculator App - Advanced Command Line Arguments

Lecture 20 Programming Homework 1: Basic Command line Tool

Section 6: Error's in Python

Lecture 21 Runtime vs Syntax Errors

Lecture 22 Try Except (Catch)

Lecture 23 Handling Multiple Exceptions and the Finally Block

Lecture 24 Homework 2 - Handling Errors in Command Line Tools

Section 7: Working with Files

Lecture 25 Reading and Writing Files

Lecture 26 Working with Images

Lecture 27 Homework 3 - Command Line Image Tool

Section 8: Classes and Objects

Lecture 28 Classes, __init__, and Instance Methods

Lecture 29 Importing Classes from Different Files

Lecture 30 Final Homework - Free Reign

Anyone interested in learning to code and wants a foundation,Business professionals looking to upskill and begin automating work,Students looking to get ahead of their CS class,Aspiring AI/ML enthusiasts who need a solid Python foundation