Micro Learning | Intermediate Python: Enhancing Your Skills

Micro Learning | Intermediate Python: Enhancing Your Skills
Published 7/2024
Duration: 1h12m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 217 MB

Intermediate Python: Enhancing Your Skills

What you’ll learn
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.

Requirements
Basic knowledge of Python programming.
Familiarity with basic programming concepts.

Description
Course Objectives
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
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.
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.
Who this course is for:
Developers with basic Python knowledge.
Students and professionals looking to deepen their Python skills.
Individuals preparing for more advanced Python topics.

More Info