Python Basics Course: Tutorials, Videos & Practice
This page provides a structured path to learn Python from the basics using plus2net tutorials, video lessons, examples, and practice programs.
You can follow the course modules below in sequence and use the related tutorial links for detailed explanations and examples.
Live Python sessions are conducted occasionally on YouTube.
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Python Basics for Beginners – Free PDF Guide
New to Python? Follow our beginner-friendly Python video tutorials step by step. Download this free guide containing the complete Python Basics tutorial series from plus2net.
Download Free Python Basics PDFBasic Python Course Outline
This course outline provides a step-by-step guide for learning Python, covering fundamental concepts and gradually introducing practical applications.
- What is Python?
- Overview of Python and its features
- Use cases: Web development, data science, AI, automation
- Setting Up the Environment
- Installing Python on Windows, macOS and Linux
- Using Python IDEs: IDLE, VS Code, PyCharm and Google Colab
- Your First Python Program
- Writing and running a basic "Hello, World!" program
- Understanding the Python interpreter
- Python Syntax Basics
- Understanding indentation and code blocks
- Using comments in Python programs
- Variables and Data Types
- Creating variables and variable naming rules
- Understanding Python data types
- Numbers, strings and Boolean values
- Type Conversion
- Input and Output
- Operators
- Python Keywords and Built-in Functions
- Conditional Statements
- if, elif and else statements
- Using comparison and logical conditions
- Nested if statements
- For Loop
- Using for loops to repeat a block of code
- Using range() with for loops
- Nested for loops
- While Loop
- Using while loops based on conditions
- Updating the loop control variable
- Avoiding infinite loops
- Controlling Loops
- Using break to exit a loop
- Using continue to skip the current iteration
- Practice
- Defining and Calling Functions
- Creating user-defined functions using def
- Passing parameters to functions
- Returning values from functions
- Returning multiple values
- Function Arguments
- Positional arguments
- Default arguments
- Passing multiple arguments using *args
- Passing key-value pairs using **kwargs
- Docstrings
- Adding documentation inside Python functions
- Reading function documentation using __doc__
- Variable Scope
- Global, local and nonlocal variables
- Understanding variable scope inside functions
- Recursive Functions
- Understanding recursion in Python
- Using a stopping condition in recursive functions
- Factorial calculation using recursion
- Lambda Functions
- Practice
- Lists
- Creating and working with Python lists
- Accessing list items using indexes
- List slicing
- Adding, updating and removing list items
- Common list methods
- Tuples
- Creating and using Python tuples
- Accessing tuple elements
- Understanding why tuples are immutable
- Dictionaries
- Storing data using key-value pairs
- Accessing values using keys
- Adding, updating and removing dictionary items
- Using keys, values and items
- Sets
- Working with unique and unordered values
- Adding and removing set items
- Basic set operations such as union and intersection
- Mutable and Immutable Objects
- Understanding mutable and immutable objects in Python
- Comparing lists, tuples and other Python data types
- Practice
- Creating and Accessing Strings
- Creating and working with Python strings
- Accessing characters using indexes
- String slicing
- Concatenating strings
- String Formatting
- Formatting text using variables and values
- Using formatted strings for readable output
- Common String Methods
- Checking String Content
- Checking alphabetic and numeric characters
- Checking uppercase and lowercase text
- Removing unwanted spaces from strings
- Practice
- Optional: Regular Expressions
- Pattern matching using the re module
- Opening and Working with Files
- Introduction to Python file handling
- Opening files using open()
- Understanding file modes for reading, writing and appending
- Closing files after use
- Reading Files
- Writing and Appending Files
- File Position
- Working with CSV Files
- Reading comma-separated values from a CSV file
- Using Python's csv module to read structured data
- Understanding Errors and Exceptions
- Syntax errors and runtime errors
- Why unhandled exceptions can stop a Python program
- Using Try and Except
- Handling errors using try and except
- Displaying the system-generated exception message
- Using Exception as e to read error details
- Handling Specific Exceptions
- Handling errors such as KeyError, TypeError and ZeroDivisionError
- Using specific exception blocks before a general exception block
- Else and Finally
- Using else when no exception occurs
- Using finally for code that should always execute
- Raising Exceptions
- Creating user-generated exceptions using raise
- Using conditions to raise an exception when required
- Common Python Exceptions
- Understanding common exceptions such as ValueError, NameError, IndexError and KeyError
- Understanding Python Modules
- Introduction to modules in Python
- Why modules are used to organize and reuse Python code
- Importing Modules
- Importing a complete module using import
- Importing selected functions using from ... import
- Using functions and variables available inside a module
- Using Built-in Modules
- Working with the math module
- Generating values using the random module
- Working with dates and time-related functions
- Creating Your Own Module
- Saving reusable functions in a separate Python file
- Importing your own module into another Python program
- Introduction to Packages
- Understanding Python packages and how they differ from modules
- Organizing related modules inside a package
- Understanding the purpose of __init__.py
- Classes and Objects
- Understanding classes and objects in Python
- Creating a class using the class keyword
- Creating objects from a class
- Attributes and Methods
- Creating attributes to store object data
- Creating methods inside a class
- Using self to access object attributes and methods
- Constructor using __init__()
- Initializing object data using __init__()
- Passing values while creating an object
- Inheritance
- Creating a class by inheriting from another class
- Understanding parent and child classes
- Using super() to access the parent class
- Class and Static Methods
Next Steps After Python Basics
After completing the 10 basic Python modules, you can continue with libraries, data analysis, GUI development, databases and practical projects. Choose the area that matches your learning goal.
- NumPy
- Introduction to NumPy
- Creating and working with NumPy arrays
- Array indexing, slicing and reshaping
- Mathematical and statistical operations on arrays
- Pandas
- Introduction to Pandas
- Creating and working with DataFrames
- Reading CSV, Excel and database data
- Filtering, sorting, grouping and cleaning data
- Data Visualization
- Creating charts and graphs using Matplotlib
- Line, bar, scatter and other basic charts
- Practice and Projects
- Getting Started with Tkinter
- Introduction to Tkinter GUI programming
- Creating windows and arranging widgets
- Using labels, buttons and entry boxes
- Tkinter Widgets
- Listbox, Combobox, Checkbutton and Radiobutton
- Text, Treeview, Canvas and other widgets
- Handling events and user input
- Modern Tkinter Interfaces
- Tkinter Projects
- SQLite
- Using SQLite database with Python
- Connecting to a database
- Insert, select, update and delete records
- MySQL
- Using MySQL database with Python
- Creating database connections
- Reading and modifying database records
- SQLAlchemy
- Introduction to SQLAlchemy ORM
- Working with database tables using Python objects
- Excel with OpenPyXL
- Working with Excel files using OpenPyXL
- Reading and writing worksheet data
- Formatting cells and creating charts
- Excel with XlsxWriter
- Google Sheets
- Working with Google Sheets using Python and pygsheets
- Reading, writing and transferring data
- Creating PDF Files
- Generating PDF documents using Python
- Adding text, tables, images and charts to PDF files
- Django Web Development
- Getting started with Django and Python
- Forms, templates and database-driven web applications
- JSON
- XML
- Web Scraping
- Web scraping using BeautifulSoup
- Reading webpage content and extracting required data
- Python and AI
- Google Gemini
- PyTorch
- Introduction to PyTorch
- Tensors, neural networks and training basics
- TensorFlow
- Python Practice Programs
- Python sample programs with source code
- Factorial, Fibonacci and prime number programs
- Number and digit-based practice programs
- Beginner Project
- GUI Projects
- Data Analysis Projects
Subhendu Mohapatra
Author
🎥 Join me live on YouTubePassionate about coding and teaching, I publish practical tutorials on PHP, Python, JavaScript, SQL, and web development. My goal is to make learning simple, engaging, and project‑oriented with real examples and source code.
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