
Python is a simple, open-source programming language that runs cross-platform. Explore uses from web development with Django and Plus framework to data analytics, visualization, AI and machine learning.
Learn how to convert values between string, integer, and boolean types in Python using int() and str(), handle conversion errors, and verify types after conversion.
Explore arithmetic operators in Python, including addition, subtraction, multiplication, and division, then learn how to apply exponential and modulus operations in simple examples.
Learn how tuples in Python are immutable, created with parentheses, and accessed by index, unlike lists which are mutable and support append and delete.
Master Python conditionals by using if, elif, and else to execute code based on boolean values and comparisons, including and, or, not, and nested conditions.
Explore the while loop in Python, including initialization, condition, and increment, and use it to compute the sum of the first n natural numbers with user input.
Explore break and continue statements in Python, using loop control to exit when a condition is met and skip iterations, with character-by-character examples.
Import the math module to access built-in mathematical functions such as sqrt, abs, factorial, log, pow, gcd, sin, cos, tan, asin, acos, atan, degrees, radians, hypot, copysign, ceil, and floor.
Master reading from a text file in Python by opening the file in read mode, understanding the default mode, and distinguishing read from write while noting authorization to modify files.
Explore saving a dictionary to a file in Python, writing to CSV, JSON, and text files, and using pickle to serialize Python objects.
Explore object oriented programming in Python by learning how objects bundle data and behavior, with attributes and methods, and how classes enable reusable code through inheritance, polymorphism, and encapsulation.
Learn to define a Python class, create and use instances, and access class attributes and methods from both the class and its objects with practical examples.
Learn how the initializer (constructor) in Python runs automatically when you create a new object, initializes instance variables, and performs startup tasks or prints creation messages.
Explore Python docstrings that document modules, functions, and classes using triple quotes. Learn when to use single-line or multi-line forms and how to access them with help.
Explore hybrid inheritance in Python by combining multilevel and multiple inheritance, illustrated with parent and child classes and constructors, and learn how diamond-like complexity is managed.
Explore method overloading in Python by defining functions that accept varying numbers of arguments, including zero to many, with None as a default when no argument is supplied.
Discover how operator overloading in python uses polymorphism to let the plus operator work differently for numbers, strings, and objects, including calculating circle areas.
Explore instance, static, and class methods in Python, using self for instances, decorators for class and static methods, and understanding their roles as class-specific utilities.
Explore how generators in Python differ from functions by yielding one value at a time and saving memory, using next() to retrieve results from a generator object.
Discover how generators differ from functions by using yield to produce values on demand, saving memory and enabling for loops and next calls.
Create a thread in Python using the threading module by targeting a function, printing the thread name, and distinguishing the main thread from the worker thread as the first method.
Learn the basics of regular expressions in Python, including pattern matching with the re module and the match and search functions, with practical examples like password validation.
Discover how Python regular expressions work, comparing match and search (start of string vs anywhere) and demonstrating greedy and non-greedy quantifiers with practical examples.
Explore the server–client model and how a proxy server acts as a gateway between client requests and the main server, using cache to speed up responses.
Learn how simple mail transfer protocol (smtp) enables sending plaintext emails between mail servers, and how POP3, IMAP, and MIME extend delivery, retrieval, and attachments.
In this course, we will take a start from complete scratch and will assume that you never had a Python Programming Experience before. We will end this course by making you a professional Python Engineer who is capable enough to apply his knowledge to build real world Applications. We will go in depth of everything so that you can learn each and everything about the topics that we will cover in this course. Also we have taught to make Games in Python because Game Programming is considered as the most tough programming skills so we have made real time Games so that you can write any code in Python in your future ahead.
We will focus a lot on those topics which are mostly asked for a Job interview for Python. We will continue to add new topics to this course on students recommendations. We will make sure that this course is always well up-to date. This course aim to develop your skills to become capable for your coming professional life. In this course, if you have any problem understanding anything, you can feel free to directly message me or ask your questions in the Q/A Section and I will get back to you as soon as possible.
We hope you very best for this course.
Hope this course will be very beneficial for you.
Good Luck