Micro Learning | Intermediate Python: Enhancing Your Skills

About Micro Learning | Intermediate Python: Enhancing Your Skills

This micro learning course is designed for Python developers who have a basic understanding of the language and want to enhance their skills. Through focused lessons and practical exercises, participants will learn intermediate Python concepts and techniques.

Course Objectives

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

Utilize intermediate Python features and techniques.

Work with more complex data structures.

Understand and implement object-oriented programming.

Handle exceptions and perform file operations.

Write and use modules and packages.

Target Audience

This course is ideal for:

Developers with basic Python knowledge.

Students and professionals looking to deepen their Python skills.

Individuals preparing for more advanced Python topics.

Prerequisites

Participants should have:

Basic knowledge of Python programming.

Familiarity with basic programming concepts.

Course Modules

Module 1: Advanced Data Structures

Lesson 1: List Comprehensions and Generators

Creating lists using list comprehensions.

Understanding and using generators.

Lesson 2: Advanced Dictionary and Set Operations

Exploring advanced operations on dictionaries and sets.

Practical examples and use cases.

Module 2: Object-Oriented Programming

Lesson 1: Classes and Objects

Understanding classes and objects.

Creating and using classes.

Lesson 2: Inheritance and Polymorphism

Implementing inheritance in Python.

Understanding polymorphism and its applications.

Module 3: Error Handling and File Operations

Lesson 1: Exception Handling

Using try, except, finally blocks.

Creating custom exceptions.

Lesson 2: File Operations

Reading from and writing to files.

Handling different file types and modes.

Module 4: Modules and Packages

Lesson 1: Writing and Using Modules

Creating and importing modules.

Understanding module namespaces.

Lesson 2: Packages

Organizing code with packages.

Using third-party packages.

Module 5: Working with External Libraries

Lesson 1: Introduction to Popular Libraries

Overview of libraries like NumPy, Pandas, and Requests.

Installing and using these libraries.

Lesson 2: Practical Applications

Applying libraries to solve real-world problems.

Examples and hands-on exercises.

Course Delivery

The course will be delivered through a combination of:

Video lectures: Focused lessons with practical examples.

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

Quizzes: Assessments to test understanding.

Upon successful completion of the course, participants will receive a certificate of completion, demonstrating their proficiency in intermediate Python programming.