
Learn how comments in Python work, including single line comments with the hash symbol and multiline comments, and that the Python interpreter ignores them, improving readability.
Learn how Python variables act as containers for data. They change with the equals sign and descriptive names; Python uses object references with case sensitive naming and top-to-bottom execution.
Learn to assign multiple values to multiple variables in a single line using comma separation, print each value on its own line, and assign the same value to several variables.
Explore numeric literals in Python, including binary, decimal, octal, and hexadecimal formats, and work with integer, float, and complex types through practical examples.
Learn how string literals in Python use single or double quotes for single-line strings, and triple quotes for multiline strings, including character literals and raw strings with prefix r.
Learn to work with integers, floating point numbers, and complex numbers in Python, and use the type function to determine a variable's class and its real and imaginary parts.
Learn how sets in Python are unordered collections of unique items defined by curly braces, with no indexing and duplicates eliminated, producing varying order on each run.
Learn to use Python's print function to output strings and variables, control separators and end parameters, and explore built-in functions in the standard library.
Explore Python string formatting with the format method, using placeholders and positional or keyword arguments for clear outputs. Practice reading input with input() and converting values with int or float.
Master Python arithmetic operators by learning how to perform addition, subtraction, multiplication, division, modulus, floor division, and exponentiation using operators and operands, with examples using variables.
Explore assignment operators in Python, learn how to assign values to variables, and use compound operators for addition, subtraction, multiplication, and division, including floor division and modulus.
Explore how conditional statements in Python drive decision making, using the if statement to execute code only when a condition is true, with indentation marking the block.
Learn how the Python range function powers for loops by generating number sequences with default start at zero and step of one, and how start, stop, and step customize iteration.
Create lists in Python with the list constructor and the list function, and use the type function. Access items with zero-based and negative indexing, and slicing with start and end.
Explore tuples in Python, a collection of ordered and immutable items that can store multiple data types; learn how to create, index, duplicate values, and convert between tuples and lists.
Learn to determine a tuple’s length with len, display its type, and create single-item tuples with a trailing comma, while mixing strings, numbers, and booleans.
Iterate over a fruit set, print items like apple, fig, and banana, test membership, and add items with add and update, noting random order.
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.