The Python Mega Course: Build 10 Real World Applications
4.5 (37,636 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
178,001 students enrolled

The Python Mega Course: Build 10 Real World Applications

A complete Python course for both beginners and intermediates! Master Python 3 by making 10 amazing Python apps.
4.5 (37,636 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
177,745 students enrolled
Created by Ardit Sulce
Last updated 5/2020
English
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Current price: $119.99 Original price: $199.99 Discount: 40% off
23 hours left at this price!
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This course includes
  • 23.5 hours on-demand video
  • 69 articles
  • 44 downloadable resources
  • 70 coding exercises
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Go from a total beginner to a confident Python programmer
  • Create 10 real-world Python programs (no toy programs)
  • Solidify your skills with bonus practice activities throughout the course
  • Create an app that translates English words
  • Create a web-mapping app on the browser
  • Create a portfolio website and publish it on a real server
  • Create a desktop app for storing data for books
  • Create a webcam video app that detects moving objects
  • Create a web scraper
  • Create a data visualization app
  • Create a database app
  • Create a geocoding web app
  • Create a website blocker
  • 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)
Course content
Expand all 264 lectures 24:06:01
+ Introduction
5 lectures 12:00

Learn about what the course contains.

Preview 03:34
How to Contact Your Instructor
00:08

In this course you will need to have Python and an IDE installed. This lecture explains that in more detail.

Preview 01:08

Installing Python and an IDE is very easy. This video explains how to install Python and the Visual Studio Code IDE on Windows, Mac, and Linux.

Installing Python 3 and an IDE (Windows, Mac, and Linux)
06:43
+ The Basics: Small Program
4 lectures 14:31

Learn how to write some simple Python code and execute it to get the output.

Your First Python Code
03:12

Earlier we wrote some very simple code. In this lecture we are going to create and run a small Python program.

Your First Python Program
10:08
FAQs
00:52

A text summary of what you learned in this section.

Summary
00:19
+ The Basics: Data Types
14 lectures 25:43

Python objects can be referenced to names. These names are known as variables. Learn here how to reference objects to variables.

Variables
03:12
Your First Python Exercise (E)
1 question
Assign Multiple Values and Print (E)
1 question

Strings, integers, and floats the three most fundamental types of objects in Python. Learn how they behave and how to create instances of them.

Preview 03:21
Create Integers, Strings, and Floats (E)
1 question
Sum Up Numbers (E)
1 question

Lists are one of the fundamental compound datatypes. Learn about lists in this lecture.

Preview 01:31
Ranges
00:27
Create List (E)
1 question
Create Complex List (E)
1 question
Type Attributes
02:54

A curiosity about Python.

Did You Know?
00:06

How do you know what method you need to do something? This lecture gives you a straightforward technique to find any code you need.

How to Find Out What Code You Need
04:34

Let's stop for a while to see where we are so far in the learning process and how to efficiently learn what lies ahead in the course.

Bonus: Steps of Learning Python
01:28
Calculate Maximum (E)
1 question
Count Values (E)
1 question
Modify String (E)
1 question

Dictionaries are the datatype you need for storing data that come in pairs. This video covers what you need to know about dictionaries.

Dictionary Types
03:43

A curiosity about Python.

Did You Know?
00:06
Create Dictionary (E)
1 question

Tuples are like lists, but they are more memory efficient. Learn how to create a tuple in Python and learn when to use a tuple and when to use a list.

Tuple Types
02:26
Create Tuple (E)
1 question
Create Complex Dictionary (E)
1 question

So far you learned about the different Python datatypes. Here you will learn how these datatypes are actually used in real programs.

How to Use Datatypes in the Real World?
01:07

A curiosity about Python.

Did You Know?
00:09

A text summary of what you learned in this section.

Summary: Integers, Floats, Lists, Dictionaries, Tuples, dir, help
00:38
+ The Basics: Operations with Data Types
8 lectures 17:44

Here are some tips about being more efficient when using your computer terminal and the Python interactive shell.

Python Shell and Terminal Tip
00:52

Learn how to modify lists.

More Operations with Lists
05:56
Append Item to List (E)
1 question
Remove Item from List (E)
1 question
Remove Three Items From List (E)
1 question

Learn how to extract an item from a list.

Accessing List Items
02:04
Access Item (E)
1 question
Access Items (E)
1 question
Access and Append (E)
1 question

Learn how to extract small list slices out of a bigger list.

Accessing List Slices
02:49

Learn how to extract items and slices using a negative index system.

Accessing Items and Slices with Negative Indexes
02:02

Strings have exactly the same index system as lists. Learn about the details and see an example in this video.

Accessing Characters and Slices in Strings
01:30
Accessing and Slicing Lists and Strings
4 questions
Slicing a List, 2nd to 4th (E)
1 question
Slicing a List, First Three (E)
1 question
Slicing a List, Last Three (E)
1 question

Accessing items from a dictionary works on a key-basis. Learn how to access dictionary items in this lecture.

Accessing Items in Dictionaries
01:52

A text summary of what you learned in this section.

Summary: Positive/Negative Indexes, Slicing
00:39
+ The Basics: Functions and Conditionals
10 lectures 25:24

So far you learned how to use Python builtin functions. In this video you will learn how to create your own custom functions.

Creating Your Own Functions
05:25
Lengther (E)
1 question
Square Area (E)
1 question
Volume Converter (E)
1 question

One of the most confusing notions for beginners is whether to use print or return in a function definition. This video clears that up.

Print or Return?
03:59

Conditionals are code blocks that allow your program to make decisions. Learn how to create conditionals in this video.

Intro to Conditionals
00:58

Let's make sure we understand the benefit of conditionals by writing a more real-world conditional block.

If Conditional Example
03:48

The "and" operator is useful when checking if two conditions are true at the same time. Learn how to use "and" in this video.

Bonus Code: Using "and" and "or" in a Conditional
00:24

Let's dive deep into how Python parses a conditional block.

Conditional Explained Line by Line
03:09
Conditionals Quiz
4 questions

Let's see some real-world examples of conditionals.

More on Conditionals
02:21
Password Controller (E)
1 question
Warm or Cold (E)
1 question

Using the "elif" statement allows you to check for an infinite number of conditions. Learn how to use "elif" in this video.

Elif Conditionals
01:15

Let's make sure you understand 100% the role of white space in Python code.

White Space
03:31
Hot, Warm, Cold (E)
1 question

A text summary of what you learned in this section.

Summary: Functions and Conditionals
00:34
+ The Basics: Processing User Input
4 lectures 17:32

Learn how to make programs that get input from the user and then process that input.

User Input
07:55

Learn how to dynamically construct strings with Python.

String Formatting
04:51

Learn how to dynamically construct strings using more than one variable.

String Formatting with Multiple Variables
04:17
String Formatting (E)
1 question
String Formatting and Uppercase (E)
1 question

A text summary of what you learned in this section.

Summary: Processing User Input
00:29
+ The Basics: Loops
9 lectures 17:54

Learn how to perform batch operations using for loops.

For Loops: How and Why
05:47
Loop Over Colors (E)
1 question
Loop Over Big Colors (E)
1 question
Loop Over Integer Colors (E)
1 question
Loop Over Int and Big Colors (E)
1 question

A for loop can even be used to call your own custom functions. Learn that in this video.

For Loop Over a Function
00:22
Did You Know?
00:07

Applying a for loop over a dictionary is slightly different than applying it over a list, string, or tuple. Learn about the details in this video.

Looping Through a Dictionary
01:12

Here's an example of integrating a string formatting operation with a dictionary loop.

Bonus Code: Dictionary Loop and String Formatting
00:18
Loop Over Dictionary and Format (E)
1 question
Loop Over Dictionary and Replace (E)
1 question

For loops iterate until a container is exhausted. While loops iterate as long as a condition is true. Learn how to create a while loop in this video.

While Loops: How and Why
02:59

Learn how to integrate while loops with use input.

While Loop Example with User Input
03:12
While Loops
2 questions

Learn how to use the break and the continue statements inside a while loop for better control on the workflow.

While Loops with Break and Continue
03:22

A text summary of what you learned in this section.

Summary: Loops
00:33
+ Putting the Pieces Together: Building a Program
5 lectures 18:55

Before we build the program let's first make sure we have well understood the problem this program have to solve.

Problem Statement
03:48

Going directly into coding is a mistake. Let's first make a plan on how we want to tackle the coding of the program before we start writing any code.

Approaching the Problem
01:46

Here we build the function that is going to convert the phrases into sentences.

Building the Maker Function
05:14

Here we construct a while loop that is going to iterate over user input and gather information form the user.

Constructing the Loop
04:39

Let's make the output of the program more user-friendly.

Making the Output User-Friendly
03:28
+ List Comprehensions
4 lectures 06:42

To create a new list out of an existing list you can use a for loop, but you can also use a list comprehension expression if you want your code to be shorter. This video explains how.

Simple List Comprehension
03:27

This video shows how to incorporate an if conditional inside a list comprehension.

List Comprehension with If Conditional
01:22
Only Numbers (E)
1 question
Only Positive Numbers (E)
1 question

This video shows how to incorporate an if-else conditional inside a list comprehension.

List Comprehension with If-Else Conditional
01:37
Zeros Instead (E)
1 question
Convert and Sum Up (E)
1 question
Summary: List Comprehensions
00:16
+ More on Functions
6 lectures 10:28

Learn how to define a function that takes more than one argument.

Functions with Multiple Arguments
01:45
Did You Know?
00:08
Function with Multiple Parameters (E)
1 question

Learn how to create functions with both default and non-default parameters.

Default and Non-default Parameters and Keyword and Non-keyword Arguments
03:00

Some functions in Python can take an indefinite number of arguments when called. Learn how to design such functions.

Functions with an Arbitrary Number of Non-keyword Arguments
03:32
Average Function (E)
1 question
Indefinite Number of Strings Processed (E)
1 question

Learn how to design functions that take any number of keyword arguments.

Functions with an Arbitrary Number of Keyword Arguments
01:34
Indefinite Number of Keyword Arguments (E)
1 question

A text summary of what you learned in this section.

Summary: More on Functions
00:29
Requirements
  • A computer (Windows, Mac, or Linux).
  • No prior knowledge of Python is required.
  • No previous programming experience needed.
Description

The Python Mega Course is the most practical course you will find on the web today. So far, over 140,000 students have used the course to learn Python programming and to build real-world applications in Python 3. You will learn how to build Python apps during this course, even if you know nothing about programming. You will start from scratch and progressively build up your skills by creating some awesome Python programs ranging from webcam object detection apps, to data collector web apps that query data from SQL databases, to data visualization dashboards on the browser. The course has it all to make you an all-round Python programmer that not only knows Python but also the technologies you need to know to create professional applications.

The course follows a modern-teaching approach where students learn by doing. You will start Python from scratch by creating simple programs first. Once you learn the basics, you will then start with the fun part, which is building 10 real-world applications. You will code the apps, guided step-by-step by easy video explanations and continuous support from the course instructor. The applications you will build in the course consist of database apps, web apps, desktop apps, web scraping scripts, webcam object detectors, web maps, data visualization dashboards, and more. These programs are not only great examples to help master Python, but you can also use them for your portfolio.

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 inside the course, where you can ask your questions and get an answer on the same day. 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.

If you don't know anything about Python, do not worry! In the first 12 sections, you will learn Python basics such as functions, loops, and conditionals and learn how to apply the basics by doing some examples. If you already know the basics, then the first 12 sections can serve as a refresher. The other 20 sections focus entirely on building real-world applications. The applications you will build cover a wide range of interesting topics:

  • Web applications

  • Desktop applications

  • Database applications

  • Web scraping

  • Web mapping

  • Data analysis

  • Data visualization

  • Computer vision

  • Object-Oriented Programming

Specifically, the 10 Python applications you will build are:

  • A program that returns English-word definitions

  • A program that blocks access to distracting websites

  • A web map visualizing volcanoes and population data

  • A portfolio website

  • A desktop-graphical program with a database backend

  • A webcam motion detector

  • A web scraper of real estate data

  • An interactive web graph

  • A database web application

  • A web service that converts addresses to geographic coordinates

To consider yourself a professional programmer you need to know how to write professional programs and 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 amazing Python programming language today!


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 afterwards. However, whether you will be able to learn Python and be job-ready, heavily depends on you.

If you merely watch the videos, without trying anything on your own, you will hardly learn anything. Instead, you have to try the code you see in the videos on your computer, change the code, run it, improve it further, run it again, 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 certainly learn how to program with Python and be able to 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 just watch the videos, you may finish the course in two days. However, simply 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 (e.g. a variable) the meaning of the 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 me, or my teaching assistant, will answer your questions within the same day.

Does this course cover Python 2 or Python 3?

Python 3

What IDE/editor is used in the course?

Visual Studio Code is used in the course. It is very new and probably the best IDE that exists today. However, you can use your favorite IDE. The code will work the same, no matter the IDE.

Does the course expire?

No. Once you buy the course it's yours. I update the content regularly and all the updates are also included for free in the one-time purchase you make.

Who this course is for:
  • Those with no prior knowledge of Python.
  • Those who know Python basics and want to master Python