4.53 (45857 reviews)
☑ Go from a total beginner to a confident Python programmer
☑ Create 10 real-world Python programs (no toy programs)
☑ Strengthen your skills with bonus practice activities throughout the course
☑ Create an English Thesaurus app that returns definitions of English words
☑ Create a personal website entirely in Python
☑ Create a mobile app that improves your mood
☑ Create a portfolio website and publish it on a real server
☑ Create a desktop app for storing data for books
☑ Create a webcam app that detects moving objects
☑ Create a web scraper that extracts real-estate data
☑ Create a data visualization app
☑ Create a database app
☑ Create a geocoding web app
☑ Send automated emails
☑ Analyze and visualize data
☑ Use Python to schedule programs based on computer events.
☑ Learn OOP (Object-Oriented Programming)
☑ Learn GUIs (Graphical-User Interfaces)
The Python Mega Course is the most practical course you will find on the web today. In this course, rather than practicing rote memorization, students are actively problem-solving towards tangible goals. The purpose of this course is to get you from zero and help you become a Python programmer. We will achieve that by building actual desktop programs, developing interactive web applications, automate tasks, and even create mobile apps entirely in Python 3.
There will be 10 real-world applications that we will build together. These are:
English Thesaurus - a program where users can get definitions of words.
Volcano Web Map - an interactive web map of volcano locations throughout the USA.
Personal Website with Python - a live website built entirely in Python.
Bookshop Database App - a desktop GUI app with an SQL database backend.
Feel Good Mobile App - an Android & iOS app.
Webcam Motion Detector - starts the webcam and detects moving objects.
Real Estate Web Scraper - a program that extracts data from webpages.
Interactive Data Dashboard - a web-based, fully interactive graph.
Database Web App - a web app that collects data & sends emails.
Geocoder Web App - a web app that converts addresses to coordinates.
Before we start building the 10 apps, you will first learn the fundamentals of Python programming. If you know Python basics already, you can jump right in with the first app. By building the 10 apps, you will master Python and gain the skills to independently create Python programs. You can also use any of the 10 apps for your portfolio.
You will code the apps, guided step-by-step by straightforward video explanations, and continuous support from the course instructor. If you get stuck, you can ask questions at any time in the Q&A, and the instructor or the teaching assistant will jump in and help you with your questions.
By buying the course, you will gain lifetime access to all of its videos, coding exercises, quizzes, code notebooks, cheat sheets, and the Q&A forum inside the course. On top of that, you are covered by the Udemy 30-day money-back guarantee, so you can easily return the course if you don't like it.
To consider yourself a professional programmer, you need to know how to write professional programs. There's no other course that teaches you that, so join thousands of other students who have successfully applied their Python skills in the real world. Sign up and start learning the fantastic Python programming language today!
Here's a typical review from students who have taken the course:
"Thanks for this course. I wanted to take up this opportunity to thank you. This course I took more than a year ago after going through several articles, guides, ebooks, and courses to get started with programming and didn't work out for me, and even though I couldn't complete this course, the initial chapters were more than enough to help me write my first working code for one of my customers (large service provider in the country). After that, I have written software's in other languages too. So thank you very much again. And I think this is the best way to teach programming by actually applying the principles in writing real world programs. As once we get the holistic view & confidence of programs that work in real world, then it becomes easier to understand programming in detail."- Manoj Raju
Frequently Asked Questions
Will I be able to learn Python and find a job after completing this course?
I have heard of quite a few success stories where students have rigorously followed the course and have found a job afterward. However, whether you will be able to learn Python and be job-ready heavily depends on you.
If you merely watch the videos, you will hardly learn anything without trying things on your own computer. Instead, try the code on your computer, change the code, run it, improve it further, rerun it, fix the possible errors, try making a similar app, repeat, ask questions in the Q&A when you get stuck, and try to solve all the exercises in the course. That way, you will undoubtedly learn how to program with Python and find a job.
How much time will I need to complete the course?
That depends on two factors:
(1) Your background: Someone coming from a math or computer science background may be able to complete the course in a shorter time compared to someone coming from a social science background, for example.
(2) The effort you put in: If you simply watch the videos, you may finish the course in two days. However, merely watching the videos is not enough. You need to experiment with the code you see in the videos. The more you experiment with it, the better you become.
Depending on the two factors I mentioned above, students spend from one week to three months to complete the course, most spending one month.
I don't know anything about programming. Will I still be able to learn Python?
This course assumes you have no previous knowledge of programming. Whenever a programming term is mentioned in the class (e.g., a variable), that term is explained thoroughly, so you not only understand how to use that particular term in Python, you also understand what that term means in programming.
Will I get support if I get stuck?
Yes. Feel free to drop a question in the Q&A, and I, or my teaching assistant, will answer your questions within the same day.
Does this course cover Python 2 or Python 3?
What IDE/editor is used in the course?
We use Visual Studio Code in the course. However, you can use your favorite IDE. PyCharm, Atom, and even IDLE will work correctly.
Does the course expire?
No. Once you buy the course, it's yours. We update the content regularly, and all the updates come to you for free in the one-time purchase you make.
How to Contact Your Instructor
Preview of the 10 Apps
The Tools You Need
Installing Python 3 and an IDE (Windows, Mac, and Linux)
The Basics: Small Program
Your First Python Code
Your First Python Program
The Basics: Data Types
Your First Python Exercise (E)
Assign Multiple Values and Print (E)
Simple Types: Integers, Strings, and Floats
Create Integers, Strings, and Floats (E)
Sum Up Numbers (E)
Create List (E)
Create Complex List (E)
Did You Know?
How to Find Out What Code You Need
Bonus: Steps of Learning Python
Calculate Maximum (E)
Count Values (E)
Modify String (E)
Did You Know?
Create Dictionary (E)
Create Tuple (E)
Create Complex Dictionary (E)
How to Use Datatypes in the Real World?
Did You Know?
Summary: Integers, Floats, Lists, Dictionaries, Tuples, dir, help
The Basics: Operations with Data Types
Python Shell and Terminal Tip
More Operations with Lists
Append Item to List (E)
Remove Item from List (E)
Remove Three Items From List (E)
Accessing List Items
Access Item (E)
Access Items (E)
Access and Append (E)
Accessing List Slices
Accessing Items and Slices with Negative Indexes
Accessing Characters and Slices in Strings
Accessing and Slicing Lists and Strings
Slicing a List, 2nd to 4th (E)
Slicing a List, First Three (E)
Slicing a List, Last Three (E)
Accessing Items in Dictionaries
Summary: Positive/Negative Indexes, Slicing
The Basics: Functions and Conditionals
Creating Your Own Functions
Square Area (E)
Volume Converter (E)
Print or Return?
Intro to Conditionals
If Conditional Example
Bonus Code: Using "and" and "or" in a Conditional
Conditional Explained Line by Line
More on Conditionals
Password Controller (E)
Warm or Cold (E)
Hot, Warm, Cold (E)
Summary: Functions and Conditionals
The Basics: Processing User Input
String Formatting with Multiple Variables
String Formatting (E)
String Formatting and Uppercase (E)
Summary: Processing User Input
The Basics: Loops
For Loops: How and Why
Loop Over Colors (E)
Loop Over Big Colors (E)
Loop Over Integer Colors (E)
Loop Over Int and Big Colors (E)
For Loop Over a Function
Did You Know?
Looping Through a Dictionary
Bonus Code: Dictionary Loop and String Formatting
Loop Over Dictionary and Format (E)
Loop Over Dictionary and Replace (E)
While Loops: How and Why
While Loop Example with User Input
While Loops with Break and Continue
Putting the Pieces Together: Building a Program
Approaching the Problem
Building the Maker Function
Constructing the Loop
Making the Output User-Friendly
Simple List Comprehension
List Comprehension with If Conditional
Only Numbers (E)
Only Positive Numbers (E)
List Comprehension with If-Else Conditional
Zeros Instead (E)
Convert and Sum Up (E)
Summary: List Comprehensions
More on Functions
Functions with Multiple Arguments
Did You Know?
Function with Multiple Parameters (E)
Default and Non-default Parameters and Keyword and Non-keyword Arguments
Functions with an Arbitrary Number of Non-keyword Arguments
Average Function (E)
Indefinite Number of Strings Processed (E)
Functions with an Arbitrary Number of Keyword Arguments
Indefinite Number of Keyword Arguments (E)
Summary: More on Functions
The Concept of Processing Files in Python
Reading Text From a File
Read Text From File and Print (E)
Closing a File
Reading and Processing Text (E)
File Processing Inside Function (E)
Opening Files Using "with"
Writing Text to a File
Write Snail (E)
Write First 90 (E)
Appending Text to an Existing File
Read and Append (E)
Copy n-times (E)
Summary: File Processing
Standard Python Modules
Third-Party Module Example
Summary: Imported Modules
Application 1: Build an Interactive English Dictionary
Interactive English Dictionary - How The Output Will Look Like
The Data Source
Loading JSON Data
Returning the Definition of a Word
Taking Into Account Bad Words
Implementing Case Sensitivity
Similarity Ratio Between Two Words
Best Matches out of a List of Words
Recommending the Best Match
Confirmation from the User
Optimizing the Final Output
Version 1.1 (E)
Version 1.1: Code
Version 1.2 (E)
Version 1.2: Code
Project Exercise with Python and MySQL: Interactive English Dictionary
Intro to the App
Making the App
More SQL Statements
Data Analysis with Pandas
What is Pandas?
Getting Started with Pandas
Getting Started with Jupyter Notebooks
Loading CSV Files
Exercise: Loading JSON Files
Note on Loading Excel Files
Loading Excel Files
Loading TXT Files
Set Header Row
Set Column Names
Set Index Column
Indexing and Slicing
Deleting Columns and Rows
Updating and Adding new Columns and Rows
Note on Nominatim
Example: Geocoding Addresses with Pandas and Geopy
What is Numpy?
Convert Images to Numpy Arrays
Indexing, Slicing, and Iterating Numpy Arrays
Stacking and Splitting Numpy Arrays
Application 2: Create Webmaps with Python and Folium
Web Map - How The Output Will Look Like
Adding Multiple Points
Adding Points from Files
Popup Windows on Map
HTML on Popups
Add and Style Points (Practice)
Tip: Add and Style Points
Adding a GeoJson Polygon Layer
Layer Control Panel
Fixing Programming Errors
How to Fix Difficult Errors
Good Programming Questions
Application 3: Build a Website Blocker
Website Blocker - How The Output Will Look Like
Setting up the Script
Setting up the Infinite Loop
Implementing the First Part
Implementing the Second Part
The any() function
Scheduling the Python Program on Windows
Scheduling the Python Program on Mac and Linux
Scheduling a Python Program on a Server
Application 4: Build a Personal Website with Python and Flask
Personal Website - How The Output Will Look Like
Your First Website
Note on Browser Caching
Creating a Python Virtual Environment
How to Install Git
Deploying the Website to a Live Server
Maintaining the Live Website
Graphical User Interfaces with Tkinter
Introduction to Tkinter
Setting up a GUI with Widgets
Connecting GUI Widgets with Callback Functions
Create a Multi-widget GUI (Practice)
Interacting with Databases
Introduction to "Python with Databases"
Connecting and Inserting Data to SQLite via Python
Selecting, Inserting, Deleting, and Updating SQLite Records
Introduction to PostgreSQL Psycopg2
Selecting, Inserting, Deleting, and Updating PostgreSQL Records
Querying data from a MySQL database
Application 5: Build a Desktop Database Application
Desktop Database App - How The Output Will Look Like
User Interface Design
Connecting the Frontend to the Backend, Part 1
Connecting the Frontend to the Backend, Part 2
Fixing the Bug (Practice)
Creating a Standalone Executable Version of the Program
Object Oriented Programming
Object Oriented Programming Explained
Turning this Application into OOP Style, Part 1
Turning this Application into OOP Style, Part 2
Creating a Bank Account Object
GUI in OOP Design (Practice)
Python for Image and Video Processing with OpenCV
Installing the Library
Loading, Displaying, Resizing, and Writing Images
Batch Image Resizing (Practice)
Solution with Explanations
Application 6: Build a Webcam Motion Detector
Webcam Motion Detector - How The Output Will Look Like
Detecting Webcam Objects
Capturing Motion Time
Interactive Data Visualization with Bokeh
Introduction to Bokeh
Your First Bokeh Plot
Plotting Triangles and Circle Glyphs (Practice)
Using Bokeh with Pandas
Plotting Education Data (Practice)
Note on Loading Excel Files
Plotting Weather Data (Practice)
More Visualization Examples with Bokeh
Plotting Time Intervals of the Motion Detector
Hover Tool Implementation
Webscraping with Python Beautiful Soup
The Concept Behind Webscraping
Application 7: Scrape Real Estate Property Data from the Web
Scraped Website Data - How The Output Will Look Like
Loading the Webpage in Python
Extracting "div" Tags
Extracting Addresses and Property Details
Extracting Elements without Unique Identifiers
Saving the Extracted Data in CSV Files
Crawling Through Webpages
Application 8: Build a Web-based Financial Graph
Web-based Financial Graph - How The Output Will Look Like
Downloading Datasets with Python
Stock Market Data
Stock Market Data Candlestick Charts
Candlestick Charts with Bokeh Quadrants
Candlestick Charts with Bokeh Rectangles
Stylizing the Chart
The Concept Behind Embedding Bokeh Charts in a Flask Webpage
Embedding the Bokeh Chart in a Webpage
Deploying the Chart Website to a Live Server
Application 9: Build a Data Collector Web App with PostGreSQL and Flask
Data Collector Web App - How The Output Will Look Like
PostGreSQL Database Web App with Flask: Steps
Frontend: HTML Part
Frontend: CSS Part
Backend: Getting User Input
Backend: The PostGreSQL Database Model
Backend: Storing User Data to the Database
Backend: Emailing Database Values Back to the User
Backend: Sending Statistics to Users
Deploying the Web Application to a Live Server
Bonus Lecture: Implementing Download and Upload in your Web App
Application 10: Project Exercise on Building a Geocoder Web Service
Student Project - How The Output Should Look Like
Solution, Part 1
Solution, Part 2
End of the Course
Get Variable Value (Practice)
Math Operators (Practice)
Simple Sum (Practice)
More on Indexing (Practice)
More on Slicing (Practice)
List Indexing (Practice)
Append to List (Practice)
Remove from List (Practice)
Append from List to List (Practice)
Concatenate List Items (Practice)
Create Dictionary (Practice)
Create Function (Practice)
Exponential Function (Practice)
Sum up Function (Practice)
Function Output (Practice)
Function with Default Parameters (Practice)
Offers for my Other Python Courses
good start so far, though I had to go and find a different IDE as visual studios changed and I could not figure it out.
Only glitch was first use of VS - I typed "Python" and it kept opening the Microsoft Store. I had to close and reopen VS and it worked properly.
Can't be said at that level. ;) There were a few typos or you could go into more detail about the options when installing the tools.
The Introduction is pretty good and informative. Though I would like to add something more based on how python is used in various Engineering field.
I really like the way Ardit spends time showing us where these modules are coming from, and how to use the dir() and help() functions. I am developing useful methods for self-directed learning with this course. Thank you!
The course is very easy to follow and I like that he is using Visual Studio and not Jupyter. He takes his time explaining and I love the coding exercises.
theres a clear explanation between using python on the interactive python terminal and writing a python file to execute later, shows how both these methods of writing python code output to the terminal.
Thanks a lot for the ride. I learned definitely some really useful and interesting stuff. Great Job Ardit!
This goes into the basics well, but I do not feel there is enough challenge at the moment. If there could be points where I utilize everything I have learned constantly it would develop my coding language better.
The best instructor I have experienced. I have taken a few C#, Powershell, Jenkins, and Docker courses. Always missing are the practical applications after every section to apply what was learned. This course continues to build and test you on the previous work rather than waiting until the very end of 20 hours to maybe give you a project or two to work on.
I am learning Python for academic purposes and it has been a great experience so far. Especially because I am studying simultaneously from a book as well, and both resources have their own distinct invaluable insights into certain topics.
The Python Mega course was amazing! I felt that the lectures were apt and to the point. And the way the exercises were embedded, made it more interesting. Got a lot to learn from the various applications that were built along the course.
So far its been amazing and seems like its been designed quite well. The course also teaches us the basics very efficiently.
Ardit Sir really articulates the given topic in the same way as he is teaching to a beginner. The first lecture was worth the price of the course. :)
Very comprehensive and articulate course. One stop shop for all your Python cravings. Highly recommended!