
Python for absolute beginners offers a quick, tactical introduction to core programming fundamentals, teaching you to write Python programs and read other developers' code for future learning.
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.
Install python on windows by visiting the official python website, using the download option for the latest version, running the executable installer, and verifying with the python interpreter.
Python versions 3.7, 3.8, and 3.9 share the same basics for beginners, with small changes that won't affect learning, and cross-platform installation across Windows, macOS, and Linux.
Learn how to run Python programs using the command line, a graphical IDE, and the interactive shell; create and execute .py files with print statements.
Variables in Python act as memory containers linked to memory locations. Understand how assignments affect addresses and how memory management impacts efficiency.
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.
Learn Python sequences, including strings with single or double quotes, mutable lists, and immutable sequences, plus range basics and indexing from zero to access elements.
Explore sets as unordered Python collections that cannot be indexed, and learn to convert lists to sets; also discover dictionaries as key-value mappings with curly braces.
Explore literals and identifiers, and learn how variables store values using the assignment operator across numeric, boolean, and string data types, including binary, hexadecimal, and complex forms.
Explain Python 3.7 reserved keywords, why you cannot name variables or classes with them, and see examples like true and for that trigger syntax errors.
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.
Learn how to use escape characters in Python strings, including backslash handling, multi-line strings, and escaping quotes with examples for newline, double slash, and sequences like backspace and tab.
Learn how to take input from users, process data with functions and scripts, and produce output using print statements, illustrated by a calculator example.
Learn how to use the print function to display strings, numbers, and variables by passing arguments. Master concatenation and formatting using index placeholders and modulus formatting to build dynamic output.
Learn to read user input with Python's input function, assign values to variables, and convert strings to integers or floats with int() and float(), then print results.
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.
Explore the integrated development environment Atom, learn how to install it for Python, customize with packages, enable autocomplete and formatting, and manage projects with a built-in file system.
Learn to use Visual Studio Code as an alternative editor, install the Biton extension and extension pack, and set up a simple Python project with proper naming and terminal runs.
Learn to run a Python file from the system terminal or command prompt by navigating to the folder and typing python <filename>, offering a reliable alternative to the integrated terminal.
Explore how Python uses if statements to run code blocks based on conditions, using a colon and indentation with examples like traffic lights and age checks.
Master Python conditionals by using and with if statements, processing user input via type casting, and composing nested ifs and elif for age checks, and positive/negative and even number tests.
Learn Python conditionals with if, elif, else and nested if statements. Take a student name input, direct to rooms or show invalid name, emphasizing indentation.
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.
Learn how to use for loops in Python to iterate over sequences such as lists, strings, and dictionaries, using the in keyword and indentation to access each element.
Use for loops to iterate over lists, strings, and dictionaries, printing elements, keys, values, or items, and practice range for start, end, and step.
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.
Learn how to annotate Python code with comments and docstrings to improve readability and auditing. Use # for single-line comments and triple quotes for multi-line docstrings, keeping code executable.
Explore Python strings by applying methods like capitalize, upper, lower, and strip, learning indexing, slicing, and splitting, and recognizing that a method is a function tied to object type.
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!