The Python Mega Course: Build 10 Real World Applications
4.4 (8,277 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
53,560 students enrolled
Wishlisted Wishlist

Please confirm that you want to add The Python Mega Course: Build 10 Real World Applications to your Wishlist.

Add to Wishlist

The Python Mega Course: Build 10 Real World Applications

The only Python course covering web, databases, web scraping, data science, web visualizations, image processing & more!
4.4 (8,277 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
53,560 students enrolled
Created by Ardit Sulce
Last updated 9/2017
English
English
Current price: $19 Original price: $195 Discount: 90% off
30-Day Money-Back Guarantee
Includes:
  • 23.5 hours on-demand video
  • 32 Articles
  • 39 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
  • Certificate of Completion

Training 5 or more people?

Get your team access to Udemy's top 2,000 courses anytime, anywhere.

Try Udemy for Business
What Will I Learn?
  • Become a Python programmer able to independently develop complex applications in Python 3.
  • Build 10 real life Python applications in a wide range of areas.
  • Improve your skills with bonus practice activities throughout the course.
  • Use Python to build web applications with Flask.
  • Use Python for building desktop applications with Tkinter.
  • Use Python for database applications.
  • Use Python for scientific computing with Numpy.
  • Use Python for data analysis and interactive data visualizations with Pandas and Bokeh.
  • Use Python for building interactive web maps with Folium.
  • Use Python for scraping data from websites with Beautiful Soup.
  • Use Python for computer vision with OpenCV.
  • Use Python for sending automated emails with Smtplib.
  • Use Python to download data from various data service APIs.
  • Use Python to analyze and visualize stock market data.
  • Use Python for batch geocoding of addresses with Geopy.
  • Use Python to schedule programs based on computer events.
  • Use and fully understand object-oriented design.
View Curriculum
Requirements
  • A working computer (Windows, Mac, or Linux).
  • No prior knowledge of Python is required.
Description

This is not just another Python tutorial that shows how to write Python code. This is a carefully designed course that will train you to develop real life applications with Python.

Through a combination of videos, real world code examples, quizzes, exercises, and a final project, this course makes sure you are able to think Python, and design and build real world applications by the end of it. After you buy the course, you will have lifetime access to it and to the course cheat sheet ebook containing all the code consumed throughout the course. You can use that book for quick look-up of Python commands.

The course is designed for all student levels. The first 5% of the course teaches Python basics for beginners and can serve as a refresher crash course for post-beginner students. After completing the first 5%, you will be guided in building 10 real life applications written in Python 3 in a wide range of areas that include:

  • Web applications 
  • Desktop applications 
  • Database applications 
  • Web scraping 
  • Web mapping 
  • Data analysis
  • Interactive web visualization
  • Computer vision for image and video processing
  • Object Oriented Programming

By the end of the course you will have built 10 useful Python applications in the above areas.

Specifically the 10 Python applications you are going to build are as follows:

  • A program that generates text patterns
  • A program that blocks access to distracting websites 
  • A web map visualizing volcano locations and population data
  • A portfolio website
  • A desktop graphical program that interacts with a database
  • A webcam motion detector
  • A web scraper of property data
  • An interactive web graph
  • A database web application to collect data
  • A web service that converts addresses to coordinates

That set of programs will equip you with a great Python portfolio which you can show to your employer or to anyone who you want to impress. This is a great opportunity to become a professional Python programmer so take the course and start learning Python today.

Who is the target audience?
  • All student levels - the course starts from zero and progresses to advanced level.
Curriculum For This Course
201 Lectures
23:54:48
+
Getting Started
9 Lectures 46:11

A Python application can be in three different forms. This lecture demonstrates them all.

Preview 04:45

Step by step guide on installing Python on Windows.

Setting up Python on Windows
06:16

Step by step guide on installing Python on Mac.

Setting up Python on Mac
05:24

Learn how to create and execute a Python program on Windows.

Creating and Executing a Python Program on Windows
05:19

Learn how to create and execute a Python program on Mac.

Creating and Executing a Python Program on Mac
05:49

Setting up Atom on Windows
05:56

Step by step guide on setting up the Atom editor on Mac for writing and executing Python code.

Setting up Atom on Mac
06:16

Installation FAQs
01:22
+
Variables, Datatypes, and Functions
10 Lectures 45:42
Section Introduction
00:54

Variables
04:25

Numbers
07:45

Numbers and Operators
03:59

Strings
05:25

String Indexing and Splitting
07:04

Lists
04:26

Tuples
02:25

Dictionaries
04:59

Quiz
4 questions

Learn how to create and call custom functions in Python.

Functions
04:20
+
Dealing with Programming Errors
5 Lectures 38:56

Learn to understand and easily fix syntax errors that may arise in your Python programs.

Preview 08:22

Runtime Errors
10:58

Learn how to efficiently research and fix errors that you don't understand.

Fixing Difficult Errors
05:38

Learn how to structure a good question that you can ask on online programming forums.

The Structure of a Good Programming Question
05:59

Learn how to capture and handle an error at runtime.

Exception Handling in Python
07:59
+
Conditionals
13 Lectures 31:24
Section Introduction
01:20

Functions - The basics
07:59

Functions - Advanced Features
06:49

Functions and User Input
05:08

About the Exercises
00:21

Coding Exercise 1
00:14

Solution 1
00:02

Coding Exercise 2
00:06

Solution 2
00:15

Conditionals
03:45

Conditionals - Avanced
05:05

Coding Exercise 3
00:14

Solution 3
00:04
+
Loops and User Input
7 Lectures 18:53

Learn to perform batch operations with Python loops.

Loops
02:16

The For Loop
05:23

Quiz
4 questions

Learn how to make a program ask for user input and process it.

User Input
05:34

Learn to perform repetitive operations using the Python while loop.

The While Loop
03:37

Learn how to iterate through multiple lists at once.

For Loop with Multiple Lists
01:42

Coding Exercise 4
00:07

Solution 4
00:13
+
File Handling
8 Lectures 29:44

Learn the concept behind handling files in Python.

Introduction to File Handling
01:59

Learn how to load and read the content of a text file in Python.

Opening and Reading a File
12:05

Learn how to create and write text in text files.

Opening and Writing Text to a Text File
08:24

Learn how to add content to an existing text file.

Appending to a Text File
00:57

Learn about all possible Python file handling methods.

The Rest of File Handling Methods
02:00

Learn how to handle files faster.

The "With" Statement
03:44

Coding Exercise 5
00:22

Solution 5
00:12
+
More Functionalities
7 Lectures 35:39

Section introduction.

Introduction
00:54

Learn what Python modules, libraries, and packages are and how to use them.

Modules, Libraries, and Packages
11:13

Learn how to add human readable text to Python programs.

Commenting and Documenting your Code
06:51

Learn how to create and use date and time datatypes.

Working with Dates and Times
16:05

Coding Exercise 6: Merging Text Files
00:18

Tips for Exercise 6
00:13

Solution 6
00:04
+
Application 1: Building an Interactive Dictionary
11 Lectures 01:00:57

Demonstration of the finished finished version of the interactive dictionary program that provides definitions for any given word in English.

Demonstration of the Interactive Dictionary
04:10

Explaining the data used by the program to find the words and their definitions.

The Data Source
04:54

Loading the JSON data file into a Python dictionary using the json module.

Loading the JSON Data into a Python Dictionary
03:52

Creating a Python function that returns the definition for any given word in English.

Returning the Definition for a Word
03:25

Adding a conditional to the program that is able to understand whether a word exists or not in the dictionary.

Counting for Non-existing Words
02:51

Modifying the program by counting for scenarios when the user enters a word in different letter cases.

Making the Program Letter Case Insensitive
03:09

Calculating the ratio of similarity between any two given words.

Calculating Similarity Ratio Between Two Words
04:39

Finding the best match of a mistyped word out of a big list of words.

Finding the Best Match of a Word out of a List of Words
06:07

Implementing the similarity check into the program.

Making the Program Suggest a Similar Word
09:42

Prompting the user to confirm whether the suggested word is what they meant to enter or not.

Prompting the User to Confirm Similarity Check
10:17

Making the output generated by the program more readable.

Optimizing the Final Output
07:51
+
Data Analysis with Pandas
10 Lectures 01:12:51

Get introduced to the Python Pandas data analysis library.

What is Pandas?
06:37

Note on IPython
00:17

Learn how to create pandas dataframes in Python.

Getting Started with Pandas
08:37

Learn how to set up and use Jupyter Notebooks with Python.

Getting Started with Jupyter Notebooks
09:05

Note on Loading Excel Files
00:13

Learn how to load data from various file formats in Python.

Loading Data in Python from CSV, Excel, TXT and JSON Files
12:02

Learn how to extract data from Pandas dataframes.

Indexing and Slicing Dataframes
10:46

Learn how to delete columns and rows from Pandas dataframes.

Dropping Dataframe Columns and Rows
02:30

Learn how to add new dataframe columns and update existing ones.

Updating and Adding new Columns and Rows
07:31

Practicing Pandas by converting addresses to geographic coordinates.

Example: Geocoding Addresses with Pandas and Geopy
15:12
+
Numpy
5 Lectures 25:21

Get introduced to the scientific computing Numpy library.

Preview 08:07

Installing the OpenCV Library
01:43

Images to Numpy and Vice-versa
05:40

Learn how to extract portions from Numpy arrays.

Indexing, Slicing, and Iterating
04:07

Learn to concatenate and split Numpy arrays.

Stacking and Splitting
05:44
15 More Sections
About the Instructor
Ardit Sulce
4.4 Average rating
12,923 Reviews
102,563 Students
6 Courses
Python and GIS Expert, Founder of PythonHow.com

Ardit received his master's degree in Geospatial Technologies from the Institute of Geoinformatics at University of Muenster, Germany. He also holds a Bachelor's degree in Geodetic Engineering.

Ardit offers his expertise in Python development on Upwork where he has worked with companies such as the Swiss in-Terra,  Center for Conservation Geography, and Rapid Intelligence. He is the founder of PythonHow where he authors written tutorials about the Python programming language.