Python beginner to advanced complete master class (2022)

Python beginner to advanced complete master class (2022)

Python beginner to advanced complete master class (2022)

Learn programming from the scratch with a professional Software Engineer!

Language: english

Note: 4.8/5 (70 notes) 2,009 students

Instructor(s): Praneeth Peiris

Last update: 2021-03-05

What you’ll 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

 

Requirements

  • Instinctive motivation
  • Basic understanding on computers and how to use one
  • A computer you can code on
  • Dedication and willingness to learn/try new things
  • Find solutions to errors in Google

 

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

 

Description

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 properly code 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?

  1. It’s one of the most popular programming languages throughout the decade.

  2. Heavily used for Data Science and Machine Learning domains.

  3. Heavily used for Cloud Computing such as in AWS and GCP.

  4. Massively used for Distributed Computing such as in Apache Spark and Apache Beam.

  5. A trend has already started to write web services and APIs using Python.

  6. Very easy to learn, write, understand and maintain the code.

  7. Have improved performance throughout the years.

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

  1. Basics of Python programming (variables, loops, if-else)

  2. Object-Oriented Programming

  3. How to write optimized code

  4. Error handling

  5. Using third-party libraries

  6. Writing multi-threaded and multi-processed programs

  7. Introduce GUI application building with PyQt

  8. 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!

 

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

 

Who this course is for

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

 

Course content

  • Introduction
    • Welcome
  • Introduction to programming
    • How things work!
  • Setting up
    • Install Python on Windows
    • Install Python on Linux
    • Install Python on Mac
    • Install VS Code
    • Hello World
  • Data Types
    • Basic Data Types
    • Variables
    • Basic Operators
    • Boolean Operators
    • Strings and Type Conversion
    • Bitwise Operators
    • Assignment Operators
    • Input
    • Quiz on data types
  • Data Structures
    • Introduction to Data Structures
    • Lists
    • Sets
    • Tuples
    • Dicts
    • Nested Data Structures
    • Slicing
  • Conditions
    • If Elif Else
    • Ternary If
    • None
    • If with Data Structures
  • Loops
    • For Loop
    • While Loop
    • Break and Continue
    • Min and Max
    • Insertion Sort
  • Advanced Data Structures
    • Lists
    • Sets
    • Dicts
    • Tuples
    • Iterating
    • Benchmarking
  • Functions
    • Defining a Function
    • Named Arguments
    • Default Arguments
    • Packed Arguments and Keyword Arguments (args and kwargs)
    • Return
  • Comprehension
    • Comprehension
    • Benchmarking Comprehension
  • Strings
    • Strings
    • String Functions
    • String Formatting
    • Documentation Comments
  • Object Oriented Programming
    • Introduction to OOP
    • Classes
    • Self
    • Constructor
    • Inheritance
    • Overriding
    • Access Modifiers
    • Method Types
    • Multiple Inheritance
    • Object Methods
  • Generators
    • Generators
  • Error Handling
    • Try-Except
    • Catch Multiple Exceptions
    • Else and Finally
    • Raise
    • Custom Exception
  • File IO
    • Reading files
    • Writing files
  • Modules and Packages
    • Modules
    • Packages
  • Third-Party Dependencies
    • pip
    • Virtual Environments
  • Parallel Programming
    • Parallel Processing
    • Threads
    • Processes
    • Custom Classes
    • Pass Data Between Threads
    • Pass Data Between Processes
  • Extra Contents
    • Creating GUIs using PyQt
    • Jupyter Notebooks
    • Commandline Arguments and argparse
    • A few more useful packages
  • End
    • Thank you!

 


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