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The Python Programming A-Z Definitive Diploma

The Hands-On Guide to Master Modern Python and Data, to Advance your Dev and Data Career in no time!
Instructor:
SDE Arts | Octavo
238,582 students enrolled
English [Auto]
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
Udemy APAC

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

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

1
Course overview
2
Working environments and start coding
3
Keywords and Identifiers in Python
4
Syntactic unit of imperative Python
5
Indentations and whitespaces in Python
6
Useful high level descriptions using comments
7
Challenge 1

Variables to store values

1
Variables overview in Python
2
Assigning and Changing values
3
Assigning multiple values
4
Constants
5
Numeric literals
6
String literals
7
Boolean literals
8
Special literals
9
Collections literals

Categorization of Data Types

1
Numbers in Python
2
Lists in Python
3
Playing with list items
4
Tuples in Python
5
Strings in Python
6
Sets in Python
7
Dictionaries in Python
8
Challenge 2

IO importing and formatting

1
Output using a built-in function
2
Formatting and enter inputs
3
Library importing with examples
4
Challenge 3

Computations and perform operations

1
Arithmetic operations
2
Comparison operations
3
Logical operations
4
Assignment operations
5
Identity operations
6
Membership operations
7
Challenge 4

Conditions to perform decision-making

1
The conditional if statement
2
The conditional if else
3
The conditional if, elif and else
4
The nested if

Repetitive execution using loops

1
The while loop
2
The for loop 1
3
The for loop 2
4
Challenge 5

Lists and collections

1
Lists and methods level 1
2
Lists and methods level 2
3
Lists and methods level 3
4
Lists and methods level 4
5
Challenge 6

Tuples and collections

1
Tuples and methods level 1
2
Tuples and methods level 2
3
Tuples and methods level 3
4
Challenge 7

Sets and collections

1
Sets and methods level 1
2
Sets and methods level 2
3
Sets and methods level 3
4
Sets and methods level 4
5
Challenge 8

Dictionaries and collections

1
Dictionaries and methods level 1
2
Dictionaries and methods level 2
3
Dictionaries and methods level 3
4
Challenge 9

The Design of Functional Programs

1
Defining functions
2
Function arguments and parameters
3
Inserting a collection as an argument
4
Return and the expression
5
Using More arguments
6
The arbitrary arguments
7
Build a recursive function
8
lambda design
9
Lambda arguments
10
Lambda in your program

Object-oriented design Principles

1
Objects and Classes level 1
2
Objects and Classes level 2
3
Objects and Classes level 3
4
Objects and Classes level 4

Files Handling and operations

1
Files Handling level 1
2
Files Handling level 2
3
Files Handling level 3
4
Files Handling level 4

Modules in Python

1
Modules level 1
2
Modules level 2
3
Modules level 3

Scientific computing in Python

1
First step with NumPy and arrays
2
NumPy level 1
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