Python Programming with Google Colab
Published 7/2023
Duration: 8h 9m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.83 GB
Learn Python Programming with Google Colab, how to write, run and verify the output of syntax
What you’ll learn
Python with Colab
Introduction to Python Programming
Python Syntax learning
Python functions and decision making operators etc.
Requirements
No programming experience required as this course is for beginners
Description
Course Description – Python Programming with Google Colab:
Welcome to "Python Programming with Google Colab," an immersive and hands-on course designed to introduce you to the fundamentals of Python programming and its practical applications. Whether you’re a complete beginner or an experienced programmer looking to add Python to your skillset, this course will provide a comprehensive understanding of Python’s syntax and essential features.
Course Overview:
Module 1: Introduction to Python
Understanding Python’s history, features, and benefits.
Setting up Google Colab for a seamless coding experience.
Module 2: Python Basics
Python data types: Integers, floating-point numbers, strings, and Booleans.
Input functions: Gathering user input to interact with your programs.
Operators: Arithmetic, comparison, logical, and assignment operators.
Module 3: Conditional Statements
If-else statements: Making decisions based on conditions.
If-elif-else statements: Handling multiple conditions effectively.
Module 4: Loops
While loops: Repeating tasks until a condition is no longer met.
For loops: Iterating through sequences such as strings, lists, and dictionaries.
Module 5: Data Structures
Strings: Manipulating text data and string methods.
Lists: Storing and managing collections of items.
Tuples: Immutable collections for data integrity.
Dictionaries: Organizing data with key-value pairs.
Module 6: Error Handling
Handling exceptions: Preventing program crashes with proper error handling.
Using try-except blocks: Ensuring graceful failure.
Module 7: Lambda Functions
Understanding anonymous functions and their applications.
Module 8: Object-Oriented Programming
Classes and Objects: Defining blueprints for data structures.
Methods: Functions that operate on class instances.
Module 9: Exception Handling in OOP
Raising and handling exceptions within classes.
Who this course is for:
Desire to Lean Programming
