
This is a Preview and simple explanation to the content of this course.
Learn numbers in python, focusing on integers and floating point numbers, and perform addition, subtraction, multiplication, and division, with operator precedence and parentheses.
Discover how Python lists are mutable sequences built with square brackets, enabling indexing, slicing, concatenation, append, and pop; explore nesting and two-level indexing with a matrix, plus reverse and sort.
Learn how to construct and manipulate dictionaries in Python, using keys to access values, modify items, and explore key, value, and item retrieval as well as basic dictionary methods.
Explore how tuples in Python are immutable, preventing changes to elements. Access items with indexing and slicing, and use index and count to analyze contents, including strings and numbers.
Learn about sets as unordered collections of unique elements, construct and add to a set, see duplicates disappear; also cover booleans and none as a placeholder.
Learn how if, elif, and else statements control program flow by evaluating conditions, using defaults, and branching actions. Explore indentation, multiple branches, and basic user input with the input() method.
Learn Python for loops by iterating over sequences such as lists, strings, and dictionaries, unpacking items, applying the modulo operator to find even numbers, and maintaining running totals.
Learn how to define and use Python functions, pass parameters, return values, and document them, with examples like a greeting function, addition, and a prime-check routine.
Master how nested functions access enclosing scope, learn encapsulation, and see how the global statement affects local and top-level variables.
Master Python basics on args and kwargs, handling arbitrary numbers of positional and keyword arguments. Learn how these arguments interact with dictionaries and drive flexible function inputs.
Explore object oriented programming in Python, where everything is an object, learn how classes act as blueprints to create objects and instances, follow naming conventions, and define class attributes.
Explore how methods operate on objects within a class, using a circle example to compute area and circumference from a radius attribute, and observe how attribute changes affect results.
Learn polymorphism by using a single speak method across dog and cat classes, each with output. Iterate over objects with a for loop to call speak, producing different behaviors.
As we all know Python is one of the most popular programming language In 2023. Every IT company hiring employees as a Python Developer or roles that requires extensive knowledge of Python for e.g. Data Engineers.
Lots of popular technologies like Machine Learning, Data Science, Web development, etc. are based on Python. So, to become an expert in those fields you should begin with python programming.
Top 5 reasons to learn Python in 2023:
Python is a beginner friendly programming language
Large Libraries for Data Science and ML Tasks
Adoption by Top Companies
Used in web development
Good career opportunities
If you are a total beginner and not having any experience in python programming, not to worry! In this course, I have explained from the beginning to the advance. You just have to practice the topics on your own multiple times to becomes master in it, The topics that we are going to cover are:
● Environment Setup
● Data Types in python
● Dictionaries
● List and tuples
● Python Statements
● Python Functions
● Args and Kwargs
● Classes
● Attributes
● Methods in Python
● Inheritance
● Polymorphism
…..and more!
If you want to learn Python basics thoroughly, then you should enroll in 1Hr+ “Learn Python From Scratch: ZERO to HERO in Python” course today itself.