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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!
4.3 (2,113 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.
18,259 students enrolled
Created by Ardit Sulce
Last updated 2/2017
English
$19 $195 90% off
30-Day Money-Back Guarantee
Includes:
  • 22 hours on-demand video
  • 27 Articles
  • 26 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
PHCOURSES
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 world applications 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 applications in the above areas.

The applications you are going to build are as follows:

  • A name generator 
  • A website URL timed blocker 
  • A web map generator
  • A portfolio website with Flask 
  • A GUI-based desktop application 
  • A webcam motion detector
  • A web scraper of property
  • An interactive web-based financial chart
  • A data collector web application 
  • A geocoding web service.
Who is the target audience?
  • All student levels - the course starts from zero and progresses to advanced level.
What Will I Learn?
Become a Python professional able to independently develop complex applications on Python 3.
Build 10 real world Python applications in a wide range of areas.
Use Python for building 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.
Curriculum For This Course
Expand All 177 Lectures Collapse All 177 Lectures 21:56:08
+
Getting Started
8 Lectures 33:48
Course Introduction
00:50

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
05:34

Learn how a Python program is typically structured.

Python Components
04:18

Installation FAQs
01:22
+
Variables and Functions
5 Lectures 23:36

Learn how to create and use variables in Python.

Variables
03:27

Learn how to create and call custom functions in Python.

Functions
04:20

Quiz
2 questions

Learn about using Python interactively.

Using the Python Interactive Shell
03:37

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

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
+
Data Types
11 Lectures 28:44

Learn about the various number datatypes in Python.

Numbers
03:50

Practice numbers and operators by using Python as a calculator.

More on Numbers: Using Python as a Calculator
05:05

About the Exercises
00:21

Coding Exercise 1
00:12

Solution 1
00:02

Learn to create and slice string datatypes.

Strings
06:24

Learn about lists and tuples and how to perform operations with them.

Lists and Tuples
07:28

Learn Python dictionaries and how to extract data from them.

Dictionaries
03:00

A quick summary of Python datatypes.

Summary of Data Types
02:00

Quiz
4 questions

Coding Exercise 2
00:06

Solution 2
00:15
+
Conditionals
4 Lectures 07:30

Learn to make your Python programs take decisions.

Conditional Blocks
04:37

Learn to write conditionals in single lines of code.

In-line Conditionals
02:35

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
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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 a Text Generator
5 Lectures 21:31

Section introduction.

Introduction
00:19

Video showing the finished version of Application #1.

Demonstration of the Text Generator Application
02:35

Building a minimalist version of the application.

Building Version 1
07:58

Improving the minimalist version.

Building Version 2
09:00

Building the final version of application #1.

Building Version 3
01:39
+
Data Analysis with Pandas
8 Lectures 01:12:19

Get introduced to the Python Pandas data analysis library.

What is Pandas?
06:37

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

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
15:11
+
Numpy
5 Lectures 23:58

Get introduced to the scientific computing Numpy library.

Preview 08:07

Installing OpenCV (cv2)
00:20

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
4.3 Average rating
4,085 Reviews
39,561 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. 

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