Python 3

Python is an object-oriented high-level programming language created during 1985-1990. In this course, we aim to learn Python 3, released in 2008, from scratch. One needs to only have a basic understanding of computer programming terminologies to start learning this course. By the end of this course, we expect that the students will be able to combine the Python basic and advanced concepts efficiently while developing a program in Python. Depending on the students’ interest and progress, the door can be open to more advanced topics, including multi-threading, networking, and deep-learning frameworks—PyTorch.

How to install Python and PyCharm on different operating systems?

Lecture 1:

This lecture covers the following topics:

• Who am I?

• Python history and characteristics

• What is new in Python 3?

• Basic syntax

• Variables

• What are Python objects?

• Mutability & Immutability in Python

• Standard data types

  • Boolean Type: bool

  • Numbers: int, float, complex

  • Text Sequence Type: str

  • Sequence Types: list, tuple, range

  • Mapping Types: dict

• Exercise

The structure of this course is borrowed from https://www.tutorialspoint.com/python3/. However, I have shared some other topics that I have learnt from some other online resources, such as Python documentation, and DataCamp.

Lecture 2

This lecture covers the following topics:

• The solutions for the exercises given in the first lesson

• More on slicing and item assignments

• Hashing and hashable objects

• Set and frozenset

• Control Flows

  • If-else

  • Loops

• Iterables

• Unpacking and enumerating

Lecture 3

This lecture covers the following topics:

• The solution for the exercise

• Comprehensions

• Numpy

  • ndarray

  • Array creation routines

  • Array scalar

  • Data type objects (dtype)

  • Examples

    • Array creation

    • Slicing

    • Advanced Indexing

Lecture 4

This lecture covers the following topics:

• Your solution to the first exercise

• Numpy

  • Examples

  • Copies & Views

  • Reshape, ndim, arange

  • Traversing over ndarrays

  • Broadcasting

• Function

  • Function syntax

  • Function arguments

  • Positional argument (required arguments)

  • Keyword arguments

  • Default arguments

  • Variable-length arguments

  • Python does not support function overloading.

  • Mutable and immutable parameters

  • Anonymous functions

  • Exercise

• Classes

  • Getter and setters

  • Instance and class variables

Lecture 5

This lecture covers the following topics:

• The solutions on the exercises given in the Lesson 4

• A recap over mutable and immutable objects

• Classes

  • Instance and class variables

  • Destroying objects (Garbage Collection)

  • Class destructor

  • Function types in a class

  • Alternative constructors

  • Best practices

Lecture 6

This lecture covers the following topics:

• Inheritance

  • What is inheritance?

  • Constructors and destructors

  • Method Inheritance

  • Inheriting a class variable

  • Inheriting a class of an external library

  • Restricting access

  • Property vs. Getters and Setters

  • Overriding

  • Overriding built-in functions

  • Overriding Operators

  • Side note: string formatting

  • Interface and Abstract Classes

• Polymorphism