The Python Programming A-Z Definitive Diploma in 2022

The Hands-On Guide to Master Modern Python and Data, to Advance your Dev and Data Career in no time!

What you will learn

Basic and Advanced Python concepts to become a Rockstar Python Developer

Python tools, keywords, best Practicing, high level descriptions

All bout Variables, Data Types, Literals, Techniques, Importing and Formatting.

Hands-on different types of Operations, Decision Making and Repetitive execution for sequences

Designing Data Structures

The Design of Functional Programs

Object-oriented design Principles

Files Handling, Modules and its Operations

Scientific computing for Data with NumPy

Data Visualization with Matplotlib and pyplot

Using Databases with Python


Hi, Welcome to The Python Programming A-Z Definitive Diploma in 2021.

Your complete Guide to Python Programming.

Almost Python is currently used for everything in Software Engineering.

Although it is very easy to learn, but, it is very useful and powerful.

Its fields are so many, and by learning python, it will be very easy for you to get higher Jobs in the largest companies such as Google, Dropbox, Spotify and many more.

Simply you can do multi scale tasks with python , because it is multipurpose professionally and quickly with fewer lines of code.

Also, python works everywhere.

Among its most important fields are: data science, machine learning, web application development, desktop application development, cybersecurity, and many other fields that cannot be confined to one video.

Plus, you can use it on any operating system you use.

Its programs can be written and executed with any text editor or any ide easily.

I will help and support you through this step-by-step course. Because the most important thing for me is to help you to get the most out of this course.

By the end of this course you’ll be a Professional Python Developer, And you have all the skills that Python experts have. Also, you’ll have all the ability to build multi scale apps.

Develop Python Apps, Data Analysis, Present and visualize information, Manage Database using Python 3.9. All of that and many more.

In this course, we will start from very easy basic topics such as Variables, Data types, IO Formatting, Operations, Conditional statements, loops, Data Structures, Functions, and many others, then we will move on to advanced topics such as Object Oriented Design,  and also how to deal with Data Science libraries and Modules of all kinds, then we will move on to learn how to use Databases with Python . All of this and more, supported by practical examples.

I will be available to assist and support you line by line during this course.

This course is carefully prepared, to save you time, and to increase your focus while learning without feeling bored.




First Step to Python

Introduction to the training

Working environments and start coding

Keywords and Identifiers in Python

Syntactic unit of imperative Python

Indentations and whitespaces in Python

Useful high level descriptions using comments

Challenge 1

Variables to store values

Variables overview in Python

Assigning and Changing values

Assigning multiple values


Numeric literals

String literals

Boolean literals

Special literals

Collections literals

Categorization of Data Types

Numbers in Python

Lists in Python

Playing with list items

Tuples in Python

Strings in Python

Sets in Python

Dictionaries in Python

Challenge 2

IO importing and formatting

Output using a built-in function

Formatting and enter inputs

Library importing with examples

Computations and perform operations

Arithmetic operations

Comparison operations

Logical operations

Assignment operations

Identity operations

Membership operations

Challenge 3

Conditions to perform decision-making

The conditional if statement

The conditional if else

The conditional if, elif and else

The nested if

Repetitive execution using loops

The while loop

The for loop 1

The for loop 2

Challenge 4

Lists and collections

Lists and methods level 1

Lists and methods level 2

Lists and methods level 3

Lists and methods level 4

Challenge 5

Tuples and collections

Tuples and methods level 1

Tuples and methods level 2

Tuples and methods level 3

Challenge 6

Sets and collections

Sets and methods level 1

Sets and methods level 2

Sets and methods level 3

Sets and methods level 4

Challenge 7

Dictionaries and collections

Dictionaries and methods level 1

Dictionaries and methods level 2

Dictionaries and methods level 3

Challenge 8

The Design of Functional Programs

Defining functions

Function arguments and parameters

Inserting a collection as an argument

Return and the expression

Using More arguments

The arbitrary arguments

Build a recursive function

lambda design

Lambda arguments

Lambda in your program

Object-oriented design Principles

Objects and Classes level 1

Objects and Classes level 2

Objects and Classes level 3

Objects and Classes level 4

Files Handling and operations

Files Handling level 1

Files Handling level 2

Files Handling level 3

Files Handling level 4

Modules in Python

Modules level 1

Modules level 2

Modules level 3

Scientific computing in Python

First step with NumPy and arrays

NumPy level 1

NumPy level 2

NumPy level 3

NumPy level 4

NumPy level 5

NumPy level 6

NumPy level 7

NumPy level 8

NumPy level 9

NumPy level 10

Visualize your Data

Matplotlib level 1

Matplotlib level 2

Matplotlib level 3

Matplotlib level 4

Matplotlib level 5

Python with DB

Connect to Database with Python

Create Table in Database using Python

Insert Data into Table using Python

Display data from DB Table in Python

Update Table Data using Python

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