Python Full Course Overview

Welcome to the Python course! This course will cover everything you need to get started with Python, a versatile and popular programming language used in various industries like web development, data science, machine learning, and automation.

Course Topics

• Introduction to Python
• Basic building blocks of programming:
  • Data types: strings, numbers, lists, sets, dictionaries, booleans
  • Variables and functions
  • User input and validation
  • Conditionals and loops
• Modularizing programs:
  • Writing custom modules
  • Using built-in Python modules
• Demo project: Goal and Deadline Program
  • Use the datetime module to work with dates
• Packages vs Modules:
  • Use external Python packages
  • Automate tasks with spreadsheet files
• Object-Oriented Programming (OOP):
  • Classes and objects
  • Demo project: Communicating with GitLab API

Key Python Concepts

Introduction to Python

• Easy to learn with simple syntax
• Powerful due to its extensive ecosystem
• Flexible and multi-purpose

Python Use Cases

• Web applications (Django, Flask)
• Data science and machine learning
• Automation (DevOps tasks, general scripts)
• Data collection (web scraping)

Setting up Python Environment

• Install Python and configure it on your operating system
• Use PyCharm IDE for writing and executing Python code

Basic Programming Concepts

Data Types

• Strings: Text data
• Numbers: Integers and floats
• Booleans: True or false values
• Lists: Ordered collection of items
• Sets: Unordered collection without duplicates
• Dictionaries: Key-value pairs

Variables and Functions

• Variables store values
• Functions encapsulate logic
• Define functions with def, use parameters for inputs
• Use return statements to output results from functions

User Input and Validation

• Use input() function to accept data from users
• Validate input using conditionals (if, else, elif)
• Handle errors with try-except blocks

Loops

• While loops: Execute as long as a condition is true
• For loops: Iterate over a sequence (like a list or range)

Advanced Programming Concepts

Modularization

• Organize code using modules
• Import functions and variables from other modules

Built-in Python Modules

• Use datetime for date manipulation
• Use os, logging, and other utilities

External Packages

• Install external packages using pip
• Use the PyCharm package manager

Object-Oriented Programming (OOP)

• Define classes to model real-world entities
• Use constructors to initialize class attributes
• Implement methods to define behavior

External APIs

• Use the requests library to communicate with external services
• Fetch data from APIs like GitLab and process the response

Final Notes

• Practice using Python by building projects
• Explore DevOps applications of Python
• Stay connected with the community for continued learning