Micro Learning - Python Programming

Micro Learning | Python Programming, available at $54.99, with 76 lectures, 20 quizzes, and has 1 subscribers.

You will learn about Understand the basic concepts and syntax of Python Write simple Python programs using variables, data types, and basic operations Use conditional statements and loops to control the flow of their programs Define and use functions to organize and reuse code Read from and write to files using Python Handle exceptions and errors gracefully Create and use custom modules and packages Understand the basics of object-oriented programming (OOP) in Python Perform basic data processing and visualization using NumPy, Pandas, and matplotlib Create simple web applications using Flask This course is ideal for individuals who are The course is suitable for beginners with little to no programming experience, as well as those who want to refresh their Python skills or learn new techniques. It is particularly useful for The course is suitable for beginners with little to no programming experience, as well as those who want to refresh their Python skills or learn new techniques.

Enroll now: Micro Learning | Python Programming

Summary

Title: Micro Learning | Python Programming

Price: $54.99

Number of Lectures: 76

Number of Quizzes: 20

Number of Published Lectures: 76

Number of Published Quizzes: 20

Number of Curriculum Items: 96

Number of Published Curriculum Objects: 96

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the basic concepts and syntax of Python Write simple Python programs using variables, data types, and basic operations

Use conditional statements and loops to control the flow of their programs

Define and use functions to organize and reuse code

Read from and write to files using Python

Handle exceptions and errors gracefully

Create and use custom modules and packages

Understand the basics of object-oriented programming (OOP) in Python

Perform basic data processing and visualization using NumPy, Pandas, and matplotlib

Create simple web applications using Flask

Who Should Attend

The course is suitable for beginners with little to no programming experience, as well as those who want to refresh their Python skills or learn new techniques.

Target Audiences

The course is suitable for beginners with little to no programming experience, as well as those who want to refresh their Python skills or learn new techniques.

This Python Microlearning course aims to introduce learners to the basics and advanced features of Python through short, easily digestible lessons. Below is a proposed curriculum covering key areas of Python.

Curriculum

1. Introduction to Python

What is Python and its applications?

Installing and setting up Python

Writing the first Python program: “Hello, World!”

2. Basic Syntax and Data Structures

Variables and data types

Lists, tuples, and dictionaries

Basic operations with lists and dictionaries

3. Conditional Statements and Loops

If-else structures

For and while loops

List comprehensions

4. Functions

Defining and calling functions

Arguments and return values

Lambda functions

5. File Handling

Opening, reading, and writing files

Using context managers

6. Exception Handling

Try-except structures

Defining custom exceptions

7. Object-Oriented Programming (OOP)

Classes and objects

Methods and properties

Inheritance and polymorphism

8. Python Modules and Packages

Creating custom modules

Using built-in modules

Installing and using external packages (pip)

9. Data Processing and Visualization

NumPy and Pandas basics

Simple data visualization with matplotlib

10. Basics of Web Applications

Flask basics

Creating a simple API

Each Lesson Content

Brief Description: Introduction to the topic

Practical Example: Code examples and explanations

Exercises: Small practical tasks to deepen understanding

Quiz: Short quiz to check comprehension

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction : Python Programming (MicroLearning)

Chapter 2: Module 01 : Introduction to Python

Lecture 1: Lesson 1 : Brief Description

Lecture 2: Lesson 2 : Installing Python

Lecture 3: Lesson 3 : First Python Program : Hello, World!

Lecture 4: DEMO : First Python Program : Hello, World!

Lecture 5: Download : Module 01 : Introduction to Python ( Source Codes )

Chapter 3: Module 02 : Basic Syntax and Data Structures

Lecture 1: Introduction : Basic Syntax and Data Structures

Lecture 2: Lesson 4 : Variables and Data Types

Lecture 3: DEMO : Variables and Data Types

Lecture 4: Lesson 5 : Lists

Lecture 5: DEMO : Lists

Lecture 6: Lesson 6 : Tuples

Lecture 7: DEMO : Tuples

Lecture 8: Lesson 7 : Dictionaries

Lecture 9: DEMO : Dictionaries

Lecture 10: Exercises : Basic Syntax and Data Structures

Lecture 11: Download : Module 2 : Basic Syntax and Data Structures ( Source Codes )

Chapter 4: Module 03 : Conditional Statements and Loops

Lecture 1: Introduction : Conditional Statements and Loops

Lecture 2: If-Else Structures

Lecture 3: DEMO : IF-ELSE

Lecture 4: For Loops

Lecture 5: DEMO : For Loops

Lecture 6: While Loops

Lecture 7: DEMO : While Loops

Lecture 8: List Comprehension

Lecture 9: DEMO : List Comprehension

Lecture 10: Exercises : Conditional Statements and Loops

Lecture 11: Download : Module 03 : Conditional Statements and Loops ( Source Codes )

Chapter 5: Module 04 : Functions

Lecture 1: Introduction : Functions

Lecture 2: Defining and Calling Functions

Lecture 3: Arguments and Return Values

Lecture 4: Lambda Functions

Lecture 5: Exercises : Functions

Lecture 6: Download : Module 04 : Functions ( Source Codes )

Chapter 6: Module 05 : File Handling

Lecture 1: Introduction : File Handling

Lecture 2: Opening and Reading Files

Lecture 3: Writing to Files

Lecture 4: Using Context Managers

Lecture 5: Exercises : File Handling

Lecture 6: Download : Module 05 : File Handling ( Source Codes )

Chapter 7: Module 06 : Exception Handling

Lecture 1: Introduction : Exception Handling

Lecture 2: Try-Except Structures

Lecture 3: Handling Multiple Exceptions

Lecture 4: Using Finally Block

Lecture 5: Defining Custom Exceptions

Lecture 6: Exercises : Exception Handling

Lecture 7: Download : Module 06 : Exception Handling ( Source Codes )

Chapter 8: Module 07 : Object-Oriented Programming (OOP)

Lecture 1: Introduction : Object-Oriented Programming (OOP)

Lecture 2: Classes and Objects

Lecture 3: Methods and Properties

Lecture 4: Inheritance

Lecture 5: Polymorphism

Lecture 6: Exercises : Object – Oriented Programming (OOP)

Lecture 7: Download : Module 07 : Object – Oriented Programming (OOP) ( Source Codes )

Chapter 9: Module 08 : Python Modules and Packages

Lecture 1: Introduction : Python Modules and Packages

Lecture 2: Creating Custom Modules

Lecture 3: Using Built-in Modules

Lecture 4: Exercises : Python Modules and Packages

Lecture 5: Download : Module 08 : Python Modules and Packages ( Source Codes )

Chapter 10: Module 09 : Data Processing and Visualization

Lecture 1: Introduction : Data Processing and Visualization

Lecture 2: Installing and Using External Packages (pip)

Lecture 3: NumPy Basics

Lecture 4: Pandas Basics

Lecture 5: Data Visualization with Matplotlib

Lecture 6: Exercises : Data Processing and Visualization

Lecture 7: Download : Module 09 : Data Processing and Visualization ( Source Codes )

Chapter 11: Module 10 : Basics of Web Applications

Lecture 1: Introduction : Basics of Web Applications

Lecture 2: Installing Flask

Lecture 3: Creating a Simple Flask Application

Lecture 4: Routes and Views

Instructors

CloudMatrix Learning
Personalized Learning with AI-Driven Education Technology

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 0 votes

4 stars: 0 votes

5 stars: 0 votes

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!