Complete PYTHON Programming for Beginners - 2026

Explore programming language paradigms by distinguishing imperative and declarative styles, and see how procedural, object-oriented, functional, and logical patterns shape Python as a multi paradigm programming language.

Trace Python's history as an open-source, interpreted language with scripting, object-oriented, and functional roots. Learn how libraries like NumPy, pandas, Matplotlib, and IPython (Jupyter) drive its use in industry.

Explore Python file extensions across versions, including pre-3.0 .py, .py3, .pyc, .pyd, .pyo, and post-3.0 .pyw and .pyz, with notes on script, bytecode, and Windows usage.

Discover script mode, or development mode, where you write Python code in a separate .py file, save it, and run it in an integrated development learning environment.

Install python and a suitable integrated development environment, download the python interpreter, and run simple calculations in the command prompt before using PyCharm community edition for projects.

Explore why to choose Python amid many languages, highlighting quality software support, developer productivity, portability, 80,000 libraries, and easy cross-language integration.

Discover how Python comments work as non-executable or ignore statements that add information to code. Learn about single-line and multi-line comments with hash and triple quotes.

Discover how the Anakonda Python distribution provides a data science framework with built-in packages for machine learning, AI, IoT, and a package manager, conda, plus Spyder and Jupiter notebooks.

Download and install Anakonda across Windows, Mac OS, and Linux using the 64-bit graphical installer, then restart to complete the setup with Jupiter and Spyder.

Install and launch Spyder via Anaconda, run Python code, and explore its use for scientific computing, data science, and machine learning, comparing it to web development environments.

Create new folders and text files in Jupiter notebook, write Python code, save files manually, and run them to print output on the console.

Explore the PyCharm IDE as a cross platform integrated development environment with code analysis and a graphical debugger. Learn to create, run, and debug Python projects, including Django web development.

Learn to debug a Python program using breakpoints and step-by-step execution with F8, running from a sample file, and inspecting variables x and y as you move line by line.

Discover how to create and use Python variables, print values, and inspect types with the type function. Explore implicit data type declaration, multiple assignment, and Python's basic data types.

Understand that Python statements are units of code that assign values to variables like a, b, and c; learn how expressions use operands and operators, and how parameters pass values.

Explore Python's numerical data types, including int, float, and complex, and learn how Python deprecated the long integer in Python 3.x, using type() to inspect variable types with practical examples.

Explore how Python converts decimal numbers to binary, octal, and hexadecimal literals using built-in functions like bin and the 0b, 0o, and 0x prefixes.