Beginner's Guide to Python Programming

Aug 14, 2024

Python Tutorial Overview

Introduction

  • Python tutorial for beginners with no prior knowledge needed.
  • Learn Python for data science, machine learning, or web development.
  • Instructor: Mosh Hamedani, known for coding tutorials.
  • Subscribe for weekly videos.
  • Uses of Python:
    • Machine learning and AI.
    • Web development (Django framework).
    • Automation of repetitive tasks.

Installation

  • Download Python from python.org
  • Ensure to add Python to PATH on Windows.
  • Use code editor PyCharm (Community Edition for free).
  • Set up a new Python project in PyCharm.

Writing Python Code

  • Example program: print('Hello World').
  • Strings: sequence of characters, use quotes.
  • Functions: print() is used to display output.

Variables

  • Store data temporarily in memory.
  • Example: age = 20, price = 19.95.
  • Booleans: True or False values.
  • Python is case-sensitive.

User Input

  • Use input() to receive input from the user.
  • Convert input data types using int(), float(), str(), and bool().

Strings

  • Strings are objects with methods like .upper(), .lower(), .find(), and .replace().
  • Use the in operator to check for substrings.

Arithmetic Operations

  • Basic operators: +, -, *, /, //, %, **.
  • Augmented assignment operators: +=, -=, *=, etc.
  • Operator precedence rules are similar to math.

Comparison and Logical Operators

  • Comparison: >, >=, <, <=, ==, !=.
  • Logical: and, or, not for building conditions.

Control Flow

  • If Statements: Make decisions based on conditions.
  • Exercise: Weight converter program.

Loops

  • While Loops: Repeat code blocks based on a condition.
  • For Loops: Iterate over lists or sequences.

Lists

  • Store sequences of items.
  • Use square brackets [].
  • Methods: .append(), .insert(), .remove(), .clear().
  • List indexing and slicing.

Tuples

  • Similar to lists but immutable.
  • Use parentheses ().
  • Methods: .count(), .index().

Additional Resources

  • Comprehensive Python course available online.
  • Covers advanced topics with certification.