Micro Learning - Python Fundamentals

Micro Learning | Python Fundamentals, available at $54.99, with 60 lectures, 6 quizzes.

You will learn about Understand the basics of Python programming. Write and execute simple Python scripts. Use Python’s fundamental data types and structures. Implement basic control flow mechanisms. Create and use functions in Python. This course is ideal for individuals who are Absolute beginners to programming. or Individuals transitioning to Python from other programming languages. or Students and professionals looking to learn Python basics quickly. It is particularly useful for Absolute beginners to programming. or Individuals transitioning to Python from other programming languages. or Students and professionals looking to learn Python basics quickly.

Enroll now: Micro Learning | Python Fundamentals

Summary

Title: Micro Learning | Python Fundamentals

Price: $54.99

Number of Lectures: 60

Number of Quizzes: 6

Number of Published Lectures: 60

Number of Published Quizzes: 6

Number of Curriculum Items: 66

Number of Published Curriculum Objects: 66

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the basics of Python programming.

Write and execute simple Python scripts.

Use Python’s fundamental data types and structures.

Implement basic control flow mechanisms.

Create and use functions in Python.

Who Should Attend

Absolute beginners to programming.

Individuals transitioning to Python from other programming languages.

Students and professionals looking to learn Python basics quickly.

Target Audiences

Absolute beginners to programming.

Individuals transitioning to Python from other programming languages.

Students and professionals looking to learn Python basics quickly.

This micro learning course is designed for individuals who are new to Python programming. It provides a solid foundation in Python, covering essential concepts and techniques. Through concise lessons and practical exercises, participants will learn to write simple yet effective Python code.

Course Objectives

By the end of this course, participants will be able to:

1. Understand the basics of Python programming.

2. Write and execute simple Python scripts.

3. Use Python’s fundamental data types and structures.

4. Implement basic control flow mechanisms.

5. Create and use functions in Python.

Target Audience

This course is ideal for:

Absolute beginners to programming.

Individuals transitioning to Python from other programming languages.

Students and professionals looking to learn Python basics quickly.

Prerequisites

Participants should have:

Basic computer literacy.

No prior programming experience required.

Course Modules

Module 1: Introduction to Python

Lesson 1: Getting Started with Python

Installing Python.

Setting up a development environment.

Lesson 2: Writing Your First Python Program

Understanding the Python interpreter.

Writing and running a simple script.

Module 2: Python Basics

Lesson 1: Variables and Data Types

Understanding variables and data types.

Working with numbers, strings, and booleans.

Lesson 2: Basic Input and Output

Using the input() function to gather user input.

Displaying output with the print() function.

Module 3: Control Flow

Lesson 1: Conditional Statements

Using if, elif, and else statements.

Writing simple conditionals.

Lesson 2: Loops

Understanding for and while loops.

Using loops to iterate over data structures.

Module 4: Data Structures

Lesson 1: Lists and Tuples

Creating and manipulating lists and tuples.

Common operations on lists and tuples.

Lesson 2: Dictionaries and Sets

Creating and using dictionaries and sets.

Understanding key-value pairs and set operations.

Module 5: Functions

Lesson 1: Defining Functions

Creating simple functions.

Understanding function arguments and return values.

Lesson 2: Using Built-in Functions

Exploring common built-in functions.

Applying built-in functions to solve problems.

Course Delivery

The course will be delivered through a combination of:

Video lectures: Concise lessons with practical examples.

Hands-on coding exercises: Simple tasks to reinforce learning.

Quizzes: Assessments to test understanding.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Introduction to Python

Lecture 1: Lesson 1: Getting Started with Python

Lecture 2: Installing Python.

Lecture 3: Setting up a development environment.

Lecture 4: Lesson 2: Writing Your First Python Program

Lecture 5: Understanding the Python interpreter.

Lecture 6: Writing and running a simple script.

Lecture 7: Summary : Introduction to Python

Chapter 3: Python Basics

Lecture 1: Overview : Python Basics

Lecture 2: Lesson 1: Variables and Data Types

Lecture 3: Understanding variables and data types.

Lecture 4: Variables

Lecture 5: Working with numbers, strings, and booleans.

Lecture 6: Integers

Lecture 7: Floats

Lecture 8: Strings

Lecture 9: Booleans

Lecture 10: Type Conversions

Lecture 11: Lesson 2: Basic Input and Output

Lecture 12: Using the input() function to gather user input.

Lecture 13: Displaying output with the print() function.

Lecture 14: Formatted Output

Lecture 15: Summary : Python Basics

Chapter 4: Control Flow

Lecture 1: Lesson 1: Conditional Statements

Lecture 2: Using if, elif, and else statements.

Lecture 3: Writing simple conditionals.

Lecture 4: Lesson 2: Loops

Lecture 5: Understanding for and while loops.

Lecture 6: Using loops to iterate over data structures.

Lecture 7: Summary : Control Flow

Chapter 5: Data Structures

Lecture 1: Lesson 1: Lists and Tuples

Lecture 2: Lists

Lecture 3: Common List Operations : Indexing

Lecture 4: Common List Operations : Slicing

Lecture 5: Common List Operations : Modifying

Lecture 6: Common List Operations : Adding

Lecture 7: Common List Operations : Removing

Lecture 8: Creating and manipulating lists and tuples.

Lecture 9: Common operations on lists and tuples.

Lecture 10: Common Tuple Operations : Indexing

Lecture 11: Common Tuple Operations : Slicing

Lecture 12: Lesson 2: Dictionaries and Sets

Lecture 13: Dictionaries

Lecture 14: Common Dictionary Operations : Accessing

Lecture 15: Common Dictionary Operations : Adding and Modifying key-value pairs.

Lecture 16: Common Dictionary Operations : Removing Key-Value pairs.

Lecture 17: Creating and using dictionaries and sets.

Lecture 18: Common Set Operations : Adding elements.

Lecture 19: Common Set Operations : Removing elements.

Lecture 20: Understanding key-value pairs and set operations.

Lecture 21: Summary : Data Structures

Chapter 6: Functions

Lecture 1: Lesson 1: Defining Functions

Lecture 2: Creating simple functions.

Lecture 3: Understanding function arguments and return values.

Lecture 4: Lesson 2: Using Built-in Functions

Lecture 5: Exploring common built-in functions.

Lecture 6: Applying built-in functions to solve problems.

Lecture 7: Summary : Functions

Chapter 7: Summary

Lecture 1: Downloads

Lecture 2: Summary : Python Fundamentals

Instructors

CloudMatrix Learning
Personalized Learning with AI-Driven Education Technology

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!