PYTHON - A to Z Full Course for Beginners

Learn to practice Python online with Jupyter by setting up an online instance, navigating the interface, and running simple print statements to practice coding.

Learn to install Python and Jupyter notebook, set up a virtual environment, install Python 3.8 and pip, configure environment variables, and launch notebooks from the command prompt.

Learn how Python treats identifiers as case sensitive, with examples showing how upper and lower case variable names are distinct.

Explore essential Python characters and escape sequences, including newline, tab, and carriage return, and understand backspace usage, along with string repetition using the asterisk operator through practical examples.

Explore range and xrange functions in Python, used to generate values for loops and determine how many times code runs, with range producing a generator-like object.

Explore mutability and immutability in Python by distinguishing mutable objects that you can modify from immutable objects that resist changes, with list examples.

Learn how the Python print() function displays output by printing variable values, using built-in functions, and calling help to understand available information.

Learn how to use Python's built-in input function to accept dynamic runtime values, avoiding hard-coded data, and create flexible, future-proof scripts for beginners.

Rise to Python expertise by practicing with your own logic, solving tasks, and building comprehensive error documentation; avoid copy-paste, and become an independent domain-ready Python developer.

Learn to pass multiple inputs to a Python program from the user using input and split, with dynamic values and examples like x, y and name, salary, bonus.

Learn to collect multiple user inputs with a separator using the split function, replacing hard coding with dynamic input for name, salary, and bonus.

Explore output operations in python using the print building function to display output, including printing strings, numbers, and a variable, and learn about triple quotes.

Explain how Python comments work, including single-line and multiline comments, show how comments describe code without executing, and demonstrate using quotes for blocks.

Explore how Python uses single-line and multiline comments, including hash-based single-line comments and triple-quoted blocks, to describe code without affecting execution.

Understand why organizations migrate from Python 2.x to Python 3.x, focusing on ai, ml, and data visualization libraries. Highlight Python 3.x's active community, richer libraries, and simpler syntax.

Explore the differences between Python 2.x and 3.x, including library compatibility, print syntax with parentheses, and range-based looping, plus Python 3's security and community support.

Explore data types in Python, including integer, float, complex, and boolean, and learn how dynamic typing affects storing customer data and basic data concepts.

Explore the core python datatypes and their use, cover variables, typecasting, and basic data structures, and prepare for practical decisions and interview questions in python.

Explore the integer data type in Python and how it stores values from zero to nine. Learn syntax rules for valid integers and when letters or special characters break them.

Learn how the float data type stores decimal values, handles precision for money, and uses exponential notation for large numbers, with examples like 200.0 and 76.90.

Explore the Python complex data type with real and imaginary parts, verify its type, and see how it supports data analytics and machine learning applications.

Explore the boolean data type in python, using true and false values to drive decisions, compare with keywords, and apply basic operations to control flow and logic.

Explore the string data type in Python, learn to define strings with quotes, print them, and verify their type with the type function, noting no character data type.

Discover what a variable is in Python, how assignment creates a temporary memory space, and how dynamic typing differs from explicit declarations, plus global and local variables.

Explore how global variables differ from local variables, declare them at the top of a Python program, and keep their values persistent across all functions throughout the program’s lifetime.

Define global variables outside functions and access them inside functions. Compare local and global scope, note local priority, and restart the kernel.

Learn how local variables are defined inside functions, how scope and visibility work, and how Python resolves local versus global variables with practical examples.

Explore the four integer forms in Python: decimal (base 10), binary (base 2), octal (base 8), and hexadecimal (base 16), and learn how to convert between them.

Master decimal form in the Python course by validating input that accepts only digits 0 through 9, rejects letters or special characters, and notes binary and hexadecimal forms.

Explore binary form in Python, including binary literals with 0b, how numbers convert to binary, and how bits sum to decimal equivalents like 7.

Explore how octal form uses a leading zero prefix to represent values from zero to seven, linking binary concepts to octal notation and data representation.

Learn to find base values for integer forms, including binary, decimal, and hexadecimal, and identify the valid digits for each base.