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