Python Masterclass 2026: Build 24 Real World Python Projects (Udemy.com)

Python Masterclass: Build 24 Real World Python Projects

This course is designed for beginners who want to learn Python programming language from scratch.

Learn Python right from the basics, understand each and every Python concept in depth and test your knowledge by building a portfolio of production level real world Python projects.

The course contains two parts:

1. Python Basics (Section 1 to Section 14)

2. Python Projects(Section 15 to Section 44 )

Here Is What You Get By Enrolling In This Course:

Word-By-Word Explanation: In the entire course, I explain each line of code, without skipping a single line of code.

High Quality Content: Over 77+ hours HD(1080p) Videos.

Well Structured & Easy To Learn: Course has been specially designed to make it easy for the students to learn Python, Django, Data Analysis, PyQt6, Flask, Tkinter, OpenCV, File Compression, Desktop App development with PostgreSQL & Web Scraping.

24 X 7 Support: I will always be there to guide you in your journey to become Python expert.

Here Is Everything You Will Learn In This Complete Course:

In this hands-on course, you will learn Python right starting from scratch to the level where you can build almost anything with it, be it a fully functional database oriented web application or an automation tool.

This course will teach you Python right from scratch from a very basic level and will gradually move you towards more advanced topics.

We not just cover all the Python basics but also the most popular Python libraries such as Django, Flask, Tkinter & Selenium.

The Complete Course is divided into 17 Major sections.

Here is a brief description of what you will learn in each section.

Section 1: Python basics.

This section covers all the basics of Python, starting right from installing the required tools to covering topics like mathematical operators, strings, accepting user input, string operations, variables, conditionals like if, elif, control structures such as while & for loop, functions, modules & packages, lists, file handling, OOP in Python, regular expressions. Almost every basic Python concept is covered in this section.

Section 2: Make GUI In Python Using Tkinter.

Once done with the basics, we know learn the Tkinter library which allows us to create desktop based applications with Python. We learn how to create GUI apps using Tkinter & Python and also build a fully functional Desktop app i.e a calculator.

Section 3: Making Database Oriented Desktop Apps With Python & PostgreSQL.

Making a simple desktop app alone isn't sufficient, it needs a backend database to store some data. To do the same we learn how to connect our desktop apps to the backend. In this section we build a student management system software using Python, Tkinter to design the GUI & PostgreSQL database to store the data for our application in the backend.

Section 4: File Compression & Encoding In Python.

In this section we will learn how to perform file compression in Python to reduce file size. We also learn how to de-compress the compressed data and the methods used for it. We build a GUI based file compression tool using Python & Tkinter and a file compression library.

Section 5: Text To Speech Converter Using Python.

Text could be converted into speech/audio and that is exactly what is being covered in this specific section where we build a tool that generates audio from a given text. Not just that, we also learn how to convert an entire text file into mp3 which can be used to generate audiobooks from ebooks. We also learn how to convert the user input into speech.

Section 6: Building A QR Code Generator With Python & Tkinter.

We build a simple tool that can convert any link and convert it into a QR code that can be scanned via any smartphone that has a QR code reader. This tool creates QR code images that can be shared anywhere and the entire tool is built using Python & Tkinter.

Section 7: Video Downloader App With Python & Tkinter.

In this section we built another tool to build our Python skills. This tool accepts a video URL, asks us to select the path where we want to download the specified video and then downloads that video to the specified path on our operating system. Not just that, this tool will also be able to convert video files into pure mp3 files as well. We build this tool from scratch right from architecting the code to designing the functionality to creating a user interface, all of it done using Python.

Section 8: Building A Credit Card Validator In Python Using Lhun's Algorithm.

In this section we will learn what is Lhun's algorithm and how it is used to validate credit cards. We learn how Lhun's algorithm can be implemented in Python and used to validate credit card numbers. This section is designed to teach algorithmic thinking and implementation in Python.

Section 9: PyQT6

In this section we will learn PyQt which is one of the most popular Python libraries to build desktop applications using the QT Framework. We will learn the latest version of PyQt i.e PyQt6 and learn how it is different from Tkinter. We will cover all the essential concepts about building GUIs with PyQt and build a couple of sample applications like a calculator app and a fully functional notepad app. We will also build a fully functional paint application which allows us to draw using a pencil and a marker and also allow us to choose colours to draw, we can also save these drawings as an image file on our computer. In this paint application we learn how to track mouse movements and mouse actions such as clicking and releasing of a button.

Section 10: Data Analysis With Python & Pandas.

Python is being widely used in the data science domain and hence it is important to learn how to use Python to analyse data. Hence in this section we learn how to use the tools and techniques used to perform data analysis. We start off by learning the Pandas library which is used to perform data analysis and all the basic concepts like DataFrames, Reindexing, Indexing, Broadcasting and also learn how to perform data plotting and visualisation with the Matplotlib library.

In this section we also have a data science project which is based on analysing supermarket data to find insightful information which helps take better business decisions. We also learn how to represent data visually using multiple types of charts and bar graphs built using matplotlib.

Section 11: Python Web Framework Django.