Python beginner to advanced complete master class (2022)

Python beginner to advanced complete master class (2022), available at $59.99, has an average rating of 4.85, with 81 lectures, 1 quizzes, based on 136 reviews, and has 2597 subscribers.

You will learn about Python3 Basics (i.e. variables, loops, if-else) Object Oriented Programming with Python How to write well optimized high performing code in Python Advanced topics in programming such as multi-threading and multi-processing Getting started with creating GUI applications using PyQt Learn about additional libraries you can use in Python This course is ideal for individuals who are Anyone who'd like to excel in Python programming or Students who're learning Python as a part of their curriculum It is particularly useful for Anyone who'd like to excel in Python programming or Students who're learning Python as a part of their curriculum.

Enroll now: Python beginner to advanced complete master class (2022)

Summary

Title: Python beginner to advanced complete master class (2022)

Price: $59.99

Average Rating: 4.85

Number of Lectures: 81

Number of Quizzes: 1

Number of Published Lectures: 81

Number of Published Quizzes: 1

Number of Curriculum Items: 82

Number of Published Curriculum Objects: 82

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Python3 Basics (i.e. variables, loops, if-else)
Object Oriented Programming with Python
How to write well optimized high performing code in Python
Advanced topics in programming such as multi-threading and multi-processing
Getting started with creating GUI applications using PyQt
Learn about additional libraries you can use in Python

Who Should Attend

Anyone who'd like to excel in Python programming
Students who're learning Python as a part of their curriculum

Target Audiences

Anyone who'd like to excel in Python programming
Students who're learning Python as a part of their curriculum

Welcome to this Python course where you will learn to code with Python with basics and in-depth explanations.

Regardless of whether you’re a complete beginner or an intermediate, you can learn how to properlycode in Python. Whether you need to pass your exam, get started with programming, even create advanced distributed data processing programs, you came to the right place.

My focus for this course is also to explain the “why” while explaining the “what” and “how”. Because most of the courses or documentation don’t cover that! But, being a Computer Science graduate and a Software Engineer with 11+ years of experience in programming, I believe I can properly explain the “why” when we’re writing code, to explain how exactly it works.

Why do you need to learn Python?

It’s one of the most popular programming languages throughout the decade.
Heavily used for Data Science and Machine Learning domains.
Heavily used for Cloud Computing such as in AWS and GCP.
Massively used for Distributed Computing such as in Apache Spark and Apache Beam.
A trend has already started to write web services and APIs using Python.
Very easy to learn, write, understand and maintain the code.
Have improved performance throughout the years.

Here is a highlight of what we’ll cover in this course.

Basics of Python programming (variables, loops, if-else)
Object-Oriented Programming
How to write optimized code
Error handling
Using third-party libraries
Writing multi-threaded and multi-processed programs
Introduce GUI application building with PyQt
And much more!

(This course was initially made in my native language (Sinhala) and it had quite a lot of positive feedback, and that’s why I decided to create a brand new course with much more topics in English for a wider audience.)

(Sample code is attached to the last video, except a few, of each of the sections when available.)

So, why wait? Let’s get started!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome

Chapter 2: Introduction to programming

Lecture 1: How things work!

Chapter 3: Setting up

Lecture 1: Install Python on Windows

Lecture 2: Install Python on Linux

Lecture 3: Install Python on Mac

Lecture 4: Install VS Code

Lecture 5: Hello World

Chapter 4: Data Types

Lecture 1: Basic Data Types

Lecture 2: Variables

Lecture 3: Basic Operators

Lecture 4: Boolean Operators

Lecture 5: Strings and Type Conversion

Lecture 6: Bitwise Operators

Lecture 7: Assignment Operators

Lecture 8: Input

Chapter 5: Data Structures

Lecture 1: Introduction to Data Structures

Lecture 2: Lists

Lecture 3: Sets

Lecture 4: Tuples

Lecture 5: Dicts

Lecture 6: Nested Data Structures

Lecture 7: Slicing

Chapter 6: Conditions

Lecture 1: If Elif Else

Lecture 2: Ternary If

Lecture 3: None

Lecture 4: If with Data Structures

Chapter 7: Loops

Lecture 1: For Loop

Lecture 2: While Loop

Lecture 3: Break and Continue

Lecture 4: Min and Max

Lecture 5: Insertion Sort

Chapter 8: Advanced Data Structures

Lecture 1: Lists

Lecture 2: Sets

Lecture 3: Dicts

Lecture 4: Tuples

Lecture 5: Iterating

Lecture 6: Benchmarking

Chapter 9: Functions

Lecture 1: Defining a Function

Lecture 2: Named Arguments

Lecture 3: Default Arguments

Lecture 4: Packed Arguments and Keyword Arguments (args and kwargs)

Lecture 5: Return

Chapter 10: Comprehension

Lecture 1: Comprehension

Lecture 2: Benchmarking Comprehension

Chapter 11: Strings

Lecture 1: Strings

Lecture 2: String Functions

Lecture 3: String Formatting

Lecture 4: Documentation Comments

Chapter 12: Object Oriented Programming

Lecture 1: Introduction to OOP

Lecture 2: Classes

Lecture 3: Self

Lecture 4: Constructor

Lecture 5: Inheritance

Lecture 6: Overriding

Lecture 7: Access Modifiers

Lecture 8: Method Types

Lecture 9: Multiple Inheritance

Lecture 10: Object Methods

Chapter 13: Generators

Lecture 1: Generators

Chapter 14: Error Handling

Lecture 1: Try-Except

Lecture 2: Catch Multiple Exceptions

Lecture 3: Else and Finally

Lecture 4: Raise

Lecture 5: Custom Exception

Chapter 15: File IO

Lecture 1: Reading files

Lecture 2: Writing files

Chapter 16: Modules and Packages

Lecture 1: Modules

Lecture 2: Packages

Chapter 17: Third-Party Dependencies

Lecture 1: pip

Lecture 2: Virtual Environments

Chapter 18: Parallel Programming

Lecture 1: Parallel Processing

Lecture 2: Threads

Lecture 3: Processes

Lecture 4: Custom Classes

Lecture 5: Pass Data Between Threads

Lecture 6: Pass Data Between Processes

Chapter 19: Extra Contents

Lecture 1: Creating GUIs using PyQt

Lecture 2: Jupyter Notebooks

Lecture 3: Commandline Arguments and argparse

Lecture 4: A few more useful packages

Instructors

Praneeth Peiris
Software Engineering Manager

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 4 votes
4 stars: 27 votes
5 stars: 103 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!

Menu