
Discover why Python is a real deal, not a bubble, by exploring its easy syntax and open source ecosystem for data analysis, machine learning, automation, and web development.
Begin your learning journey with this welcome lecture, mastering playback speed, video resolution, audio settings, and notes while engaging with Q&A and reviews to stay motivated.
Learn about Python data types, including None, integers, floats, complex, strings, and booleans, and how they store in memory. Explore building data types and the basics of boolean logic.
Explore how Python uses arithmetic, automatic, and assignment operators to perform calculations, including division (float and floor with //), modulus, and exponent, plus += and -= forms.
Explore unary minus to negate values, practice relational operators for comparing numbers, and apply logical and boolean operators (and, or, not) with true and false in Python.
explore built-in and user defined functions in python, use print and input, type casting, and common functions like max, len, pow, and sqrt via the math module.
Discover how to use while loops in Python to repeat tasks, control flow with conditions, and build programs like counting from zero to five and summing user input until zero.
Master break and continue statements to control loops, stopping iterations or skipping steps in for and while loops using simple examples with lists and conditions.
Welcome to Python Programming for Absolute Beginners. Learn To Code In Python Requires No Prior Coding Experience.
Throughout the course, we will explore the most important topics that should be known to beginners -
Basics - Expressions, Variables, and Printing Output
Operators - Python Assignment Operator, Relational and Logical Operators, Short Circuit Operators
Conditionals and If Statement
Methods - Parameters, Arguments, and Return Values
Data Structures In-depth - List, Set, Dictionary, and Tuples
Conditionals - If Else Statement, Nested If Else
Loops - For Loop, While Loop in Python, Break and Continue
Mutability - Immutability of Python Basic Types.
Why Python -
Python can be used to develop prototypes, and quickly because it is so easy to work with and read.
Most automation, data mining, and big data platforms rely on Python. This is because it is the ideal language to work with for general-purpose tasks.
Python allows for a more productive coding environment than massive languages like C# and Java. Experienced coders tend to stay more organized and productive when working with Python, as well.
Python is easy to read, even if you're not a skilled programmer. Anyone can begin working with the language, all it takes is a bit of patience and a lot of practice. Plus, this makes it an ideal candidate for use among multi-programmer and large development teams.
Python powers Django, a complete and open source web application framework. Frameworks - like Ruby on Rails - can be used to simplify the development process.
It has a massive support base thanks to the fact that it is open source and community developed. Millions of like-minded developers work with the language on a daily basis and continue to improve core functionality. The latest version of Python continues to receive enhancements and updates as time progresses. This is a great way to network with other developers.
After completing this course you will be ready to explore advanced topics as well as the vast Python eco-system.
Enroll now and I will make sure you learn best about Python!