The Complete Python 3 Masterclass - From Beginner To Pro
4.5 (503 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.
2,375 students enrolled

The Complete Python 3 Masterclass - From Beginner To Pro

Python for beginners, Learn Python Programming and build your own Python programs: Data Science, Machine Learning, etc.
4.5 (503 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.
2,375 students enrolled
Last updated 12/2018
English
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Current price: $139.99 Original price: $199.99 Discount: 30% off
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This course includes
  • 27 hours on-demand video
  • 34 articles
  • 21 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • 🚀 From 0 to 100: From beginner to python all-rounder
  • 💰 Become a sought-after developer
  • 🖥 Write real desktop applications with Qt
  • ⚙️ Use a crawler to extract data from web pages
  • 🏅 Challenge yourself with quizzes and exercises
  • 👍 Everything explained with simple examples
  • 💡 Understand the "why" behind it
  • 📈 Evaluate data and create DataScience analyses
  • 🗝 Learn and understand object oriented programming
Course content
Expand all 276 lectures 27:22:21
+ Introduction
4 lectures 13:50
Download the course material here AND DISCORD
00:22
FAQ - Frequently Asked Questions
01:15
+ Python Basics
6 lectures 28:55
Important note
00:31
Strings in Python
06:18
Number or String?
4 questions
[skip if solved] Sample solution Quiz: Number or String
04:39
+ Python Bascis Part 2
12 lectures 49:45
Lists in Python
09:42
Lists in Python
3 questions
[skip if solved] Sample solution Quiz: Lists in Python
02:58
Lists - pop function
03:15
Handout: Lists in Python
00:06
Motivation
00:30
Convert Data 1
05:07
Convert Data 2
07:16
Comments
03:06
Comment s in Python
2 questions
[skip if solved] Sample solution Quiz: Comments
01:49
For your reading
00:08
Exercise Sheet
00:26
[skip if solved] Sample solution Python Basics
15:20
+ Control Structures
11 lectures 53:16
Intro
03:04
if, else
05:32
Comparison Operators
07:22
Connect Expressions And Booleans
11:33
Leaflet: Comparison Operators
00:05
If & Booleans
3 questions
[skip if solved] Sample solution Quiz: If & Booleans
03:39
The In Operator
05:09
The Not Operator
04:43
Leaflet: Operators and Lists
00:07
The Not Operator
3 questions
[skip if solved] Sample solution Quiz: The Not Operator
06:24
elif
05:38
+ Control Structures Part 2
10 lectures 01:01:18
While Loop
04:51
For Loop
03:52
When To Use Which Loop?
02:13
In, Loops,...
4 questions
[skip if solved] Sample solution Quiz: In, Loops,...
03:23
Loops (break, continue)
07:40
Excursus: How to Handle Problems
06:54
Project: Trump Twitter Bot
13:18
Leaflet: Loops
00:07
Challenge Sheet Control Structures
00:13
[skip if solved] Sample solution Challenge Control Structures
18:46
+ Functions
19 lectures 01:30:17
Intro
02:12
Functions
06:47
Functions 2
05:53
Outlook - Objects
04:19
Intro: Opening a File
01:17
Open a File
06:24
Write a File
04:23
File And the With Keyword
04:21
Open CSV
05:05
Read And Skip Rows in CSV
05:05
Excursus: Drawing Graphics
04:02
Info: Birth statistics
00:48
Birth Statistics
13:22
Challenge Birthstatistics
04:20
Quiz Double Checking Your Solution
1 question
[skip if solved] Sample solution Challenge Birth Statistics
07:55
Leaflet: Functions and Methods
00:06
Challenge Paper - Functions
00:12
Tips on how to solve Functions Challenge
04:00
[skip if solved] Sample solution Challenge Functions
09:45
+ Lists in Python
16 lectures 01:15:43
Lists Intro
00:55
Working with Lists
03:07
List Slicing
06:22
List Slicing
4 questions
[skip if solved] Sample solution Quiz: List Slicing
03:49
List Comprehension
09:43
Outlook - Tuple & Dictionaries
02:48
Dictionaries
08:06
Dictionaries
3 questions
[skip if solved] Sample solution Quiz: Dictionaries
03:29
Tupel
05:37
Packing and Unpacking of Tuples
07:20
Dictionaries and Loops
02:55
Challenge: Dictionaries & Loops
03:25
Tips: Dictionaries & Loops
05:21
Check Your Solution: Challenge Dictionaries & Loops
1 question
[skip if solved] Sample solution Challenge Dictionaries & Loops
09:04
Nest Data Structures
03:39

The leaflets on dictionaries, lists, and tuples can be found in the appendix :)

Leaflet: Dictionaries, Lists and Tuples
00:03
+ Object Oriented Programming
17 lectures 01:58:40
Intro
03:16
Class and Method
15:41
Constructor and Methods
09:49
Why Private Properties and Methods?
04:32
Private Properties and Methods
09:19
Why do We Encapsulate Data?
08:27
Special Methods
08:09
Inheritance in Python
14:55
Challenge: Inheritance and Object Orientation
03:09
[skip if solved] Sample solution Challenge: Inheritance and Object Orientation
08:33
Check Types Of Variables
06:26
In Python Everything is an Object
05:33
How to name Variables, Classes and Methods
03:07
Static Variables
04:19
Leaflet: Object Orientation
00:02
Challenge: Object Orientation
00:13
[skip if solved] Sample solution Challenge: Object Orientation
13:09
+ Module in Python
7 lectures 46:03
Intro
02:41
Load Code from a seperate File
08:29
Different Ways to Import Modules
07:13
Create Modules in a Folder
09:18
Modules
4 questions
Leaflet: Module in Python
00:03
[skip if solved] Sample solution Quiz: Modules
03:57
Example of a Module
14:22
+ Crawler
19 lectures 02:11:22
Intro
04:50
Excursus: What is HTML?
06:47
Get HTML Code
05:55
beautifulsoup
11:38
Excursus: CSS-Selectors 1
09:06
Excursus: CSS-Selectors 2
06:47
Find Elements 1
15:41
Find Elements 2
10:08
Find Elements - urllib
05:43
Challenge: Crawl Multiple Pages
07:11
Solution: Crawl Multiple Pages
13:08

Note on the next lessons:

In the next lesson you will describe a file with Python. Occasionally under Windows it happens that the.csv file cannot be created and the procedure throws a "UnicodeEncodeError" as error. This error means that Windows does not know how to write the special character (here: smileys, e.g.

Note: Encoding, Writing a File
00:37
Challenge: Store Results as CSV
00:52
Solution: Store Results as CSV
05:31
Open CSV File with Excel
00:04
Generators
08:29
Use Generators with a Crawler
03:59
Install PyCharm and Make a Real Program from our Crawler
06:19
Make a Real Program from our Crawler
08:37
Requirements
  • No programming skills are required
  • A computer (Windows / Mac / Linux) with an Internet connection is sufficient
Description

This course makes you a professional Python 3 developer- no matter if you are a Python beginner, have already programmed a bit, or just want to discover the advanced features of Python 3. It is the ideal Python for beginners course.

This course contains over 250 lessons, countless quizzes, tests, practical projects, fact sheets, and exercises - the easiest way if you want to become a Python 3 developer.

NO PROGRAMMING SKILLS ARE REQUIRED - PYTHON FOR BEGINNERS

First a small overview of what this course offers you:

  • Understand the basics of Python 3 development

  • Understand object orientation

  • Develop your own applications in Python 3 development

  • Challenge your knowledge with various quizzes and exercises

  • Easy repetition of knowledge: Extensive fact sheets

Various practical examples:

  • Extract data from web pages with a web crawler

  • Write real desktop applications with Qt

  • Develop a web server with Flask

  • Apply Data Analysis with Python 3

  • Develop a face detection software

  • Develop a simple machine learning application

  • And much more...

Python 3 is an incredibly cool programming language that can be used for various purposes. Therefore, it is not only important that you learn Python yourself, but also which tools complement Python perfectly. And that's why I developed this Python for beginners course - to make you a highly skilled in Python development, no matter what direction you want to go after the course.

After completing this Python for beginners course you can write desktop applications, master Python website development, extract data from other websites, collect additional data via cool forms, and evaluate it automatically with Python - the complete workflow.

To this end, we will look at various additional tools in the course:

  • The Data Science - Stack: Numpy, Pandas and Matplotlib

  • Web - Crawling with "requests" and "beautifulsoup"

  • Web - Development with Flask

  • Interactive programs with Jupyter notebooks

  • Desktop applications with PyQt

My goal is that after completing this Python for beginners course you will be very good at Python development - no matter what purpose you want to use Python for later. This makes you perfectly prepared for future jobs and projects. 

Frameworks allow you to save loads and loads of effort and time, when building your programs.

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.  

In computer programming, pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series for maximum Python development capabilities.

Build a web crawler with "requests" and "beautifulsoup"  which allows you to read data from a website and reuse it how ever you like.This is a super powerful tool, which comes in handy in so many occasions.

With Flask you can build websites with Python. Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries.  So you can get started with it super fast.

In this Python for beginners course you will also learn how to use PyQt. With PyQt you can build beautiful GUIs (Graphical User Interfaces). Either with code, or by just using the Qt Creator, which allows you to drag and drop your UI elements onto your Window. That is not only convenient, but also decreases the development time, required to build desktop applications.

Machine learning is a super interesting and demanded area. Python is the programming language to go with, when it comes to Machine Learning. So hop aboard and ride with the Python hype train. As you will learn the basics of machine learning with Python in this Python for beginners course. At the end you are skilled in Python development to the highest degree.


HOW IS THE PYTHON FOR BEGINNERS COURSE STRUCTURED:

First you learn, how the very basics of Python work. This includes variables, functions, loops, if statements, etc.

Then you learn how to use object oriented programming. These skills whill not only help you with Python programming, but also with other programming Languages.  As soon as you feel confortable with those skills, you will learn more advanced topics and build more and more interesting and real world applications such as a web crawler, a twitter bot, a website with flask, data science with numpy, pandas and matplotlib.Each chapter contains multiple quizzes, leaflets/handouts and exercises, which help you to progress steadily.

So you see, the course will make you a complete Python developer in no time.


WHO IS THIS COURSE FOR?

The course is for anyone, who wants to learn Python and wants to become professionally good in Python programming. No experience is required what so ever. It is for total Python beginners. It is designed that anyone who can handle a mouse and keyboard will succeed finishing it. The only real requisite is the desire to learn.


30-DAY FULL MONEY-BACK GUARANTEE

This Python for beginners course comes with a 30-day full money-back guarantee. Take the course, watch every lecture, and do the exercises, and if you feel like this Python for beginners course is not for you, ask for a full refund within 30 days. All your money back, no questions asked.  


ABOUT YOUR INSTRUCTOR:

My name is Denis Panjuta and in my courses I have taught over 50.000 students how to code. I have a Bachelor of Engineering at the University of Applied Sciences in Constance (Germany). I love teaching and creating high quality courses. My mission is, to teach programming to over 100.000 people!

As you see, this is the only Python course you will ever need!

You will learn all the Python fundamentals, all Python basics and everything that you need to know to succeed in Python  programming and building your own cool applications. 

So don’t waste any more time and start to make your dreams and ideas come true by taking this course now!


Who this course is for:
  • Beginners who want to get started with the programming language Python
  • Advanced developers who want to experience various Python application scenarios
  • In short: who want to use Python productively - whether as a hobby or for the job