Mastery in Python - For Beginners from Zero to Hero !

A straight-to-the-point Python course to quickly get you started with writing Python code and creating Python examples

Created by : Rated :4.3 80490 views

Last Updated: 2022-04-25 06:04:35 English Course Type: Self Learning

This course is meant for absolute beginners in programming or in python. No prior knowledge about any programming language.

What is Python?

Python is a popular programming language. It was created in 1991 by "Guido van Rossum".

It is used for:

web development (server-side),
software development,
mathematics purpose,
system scripting.

What can Python do?

Can be used alongside software to create workflows.
Can be used on a server to create web applications.
can connect to database systems. It can also read and modify files.
Can be used to handle big data and perform complex mathematics.
Can be used for rapid prototyping, or for production-ready software development.

Why Python?

it works on different platforms (Windows, Mac, Linux, etc).
Has a simple syntax similar to the English language.
Has syntax that allows developers to write programs with fewer lines than some other programming languages.
Runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
Can be treated in a procedural way, an object-orientated way or a functional way.

Good to know

The most recent major version of Python is Python 3, which we shall be using in this tutorial.
In this tutorial Python will be written in a text editor. It is possible to write Python in an Integrated Development Environment, such as Thonny, Pycharm, Netbeans or Eclipse which are particularly useful when managing larger collections of Python files.

Python Syntax compared to other programming languages

Designed to for readability, and has some similarities to the English language with influence from mathematics.
Uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses.
Relies on indentation, using whitespace, to define scope; such as the scope of loops, functions and classes. Other programming languages often use curly-brackets for this purpose.

Thanks,

Arun Ammasai

No Prior knowledge needed

Beginners who wants to learn Python

Section 1 : Introduction 2 Lectures 00:05:29
Lecture 1 :
Introduction Preview
Lecture 2 :
What will you learn in this course?
Section 2 : Python Introduction and Setup 2 Lectures 00:11:59
Lecture 1 :
Introduction and Setup your local environment
Lecture 2 :
Python IDE - Integrated Development Environment [IDLE]
Section 3 : Python - String and Math Module 8 Lectures 01:10:07
Lecture 1 :
Python - Working With Variables
Lecture 2 :
Python - Working with Math Module Part1
Lecture 3 :
Python - Working with Math Module Part2
Lecture 4 :
Python - Working with String Module Part1
Lecture 5 :
Python - Working with String Module Part2 - String Formatter
Lecture 6 :
Python - Working with String Module Part3 - String methods
Lecture 7 :
Python - Working with String Module Part4 - String Slicer Methods
Lecture 8 :
Python - Working with String Module Part5 - String Slicer Example
Section 4 : Python - Boolean , Logical and Conditional Operators 3 Lectures 00:30:57
Lecture 1 :
Python - Boolean's and Comparison
Lecture 2 :
Python - Logical and Conditional Operators
Lecture 3 :
Python If Else with Comparison
Section 5 : Python - Working with List Collections 5 Lectures 00:46:59
Lecture 1 :
Python - Playing with List Part1
Lecture 2 :
Python - Playing with List Part2
Lecture 3 :
Python - Playing with List Part3
Lecture 4 :
Python - Playing with List Part4
Lecture 5 :
Python - Playing with Tuple's
Section 6 : Python - Dictionaries in Python 2 Lectures 00:24:09
Lecture 1 :
Python - Working with Dictionaries Part1
Lecture 2 :
Python - Working with Dictionaries Part2
Section 7 : Python - Looping 4 Lectures 00:39:02
Lecture 1 :
Python - Working with While Loop
Lecture 2 :
Python - Working with For Loop Part1
Lecture 3 :
Python - Working with For Loop Part2
Lecture 4 :
Python - Working with List Comprehensions
Section 8 : Python - Methods or Functions 4 Lectures 00:39:30
Lecture 1 :
Python - Working with Function Part1
Lecture 2 :
Python - Working with Function Part2
Lecture 3 :
Python - Working with Function Part3
Lecture 4 :
Python - Working with Function Part4
Section 9 : Python - Class and OOPS 4 Lectures 00:43:17
Lecture 1 :
Python - Class Introduction Part1
Lecture 2 :
Python - Class Introduction Part2
Lecture 3 :
Python - Working with OOPS Concept Part1
Lecture 4 :
Python - Working with OOPS Concept Part2

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