Python Course

April 2021:
Thanks to the help of James Paden from DocRaptor we are happy to present now professional eBooks of the content of our website.

April 2021:
There is a new chapter in the section "Machine Learning with Python" about the "Perceptron Class" from sklearn. The chapter "Neural Networks with scikit / sklearn" is considerably changed and new contend.

March 2021:
I added a new chapter to the Machine Learning Tutorial: k-Nearest-Neighbor Classifier with sklearn. The chapter k-Nearest-Neighbor Classifier is updated and extended! (Bernd)

March 2021:
I added a new chapter about music: Python and the Fibonacci numbers. In this chapter of our tutorial I create a piano score from Fibonacci numbers. This means that PDF files and Midi files are generated automatically. Python, Fibonacci and Music December 2020:
Create your own creative birthday or christmas card? Let Python be creative for you. In my chapter "Word Clouds" I show you how to create beautiful wordclouds! (Bernd)

March 2020:
Predicting the Future? How would it be to know the price of objects, shares or currencies in the future? Impossible. Yes and no! Machine Learning makes it possible to have a small glimpse in the futures. Read my new chapter on "Regression" to see how your wishes may come true :-) (Bernd)

November 2020:
Predicting the Future? How would it be to know the price of objects, shares or currencies in the future? Impossible. Yes and no! Machine Learning makes it possible to have a small glimpse in the futures. Read my new chapter on "Regression" to see how your wishes may come true :-) (Bernd)

November 2020:
Do you like curry and currying? I have corrected some typos in the chapter "Currying with Python". Furthermore I improved the explanations and the code examples! Thanks a lot Larry for your hints! (Bernd)

September 2020:
In my new article "Encoding Text for Machine Learning", I show how texts, like newspaper articles, books or the like, can be converted into numerical values. You need this conversion if you want to edit natural-language texts with neural networks. This is done with the help of the bag-of-words method. I also added a chapter in which I present some interesting text classification examples: "Natural Language Processing: Examples" (Bernd)

September 2020:
One of the most visited chapters of my Python tutorial has the title Recursion and Recursive Functions. Have you ever heard about tribonacci, tetranacci, or pentranacci numbers? Most probably not. I haven't known them until this day. (Bernd)

August 2020:
I have improved the tutorial on functions. A smoother introduction, i.e. the call behavior and the parameter transfer are now introduced in easy-to-understand diagrams. Furthermore a lot of additional exercises with solutions round off the topics. Concerning Machine Learning: I added a new chapter on metrics (precision, accuracy, recall, f1-score)(Bernd)

August 2020:
Today I finally took the Python2 tutorial offline. Python2 should finally be history. I also reorganized the existing content. Up to now there was an "Advanced" rubric, which did not provide actual Python topics but applied Python programming. I have renamed it to Applications. I have also added a new section "Advanced". This time with advanced Python topics. Object orientation received a section of its own now. We still keep a link to the outdated Python2 tutorial, just in case! (Bernd)

June 2020:
I added three new chapters in the section "Machine Learning": Finally, I added a proper introduction chapter, "Representation and Visualization of Data" and "Train and Test Sets" (Bernd)

June 2020:
We are proud to present a new Turkish sibling of our website. Python-kurslari.eu. Thanks to the work of Melisa Atay and Barbaros Akkurt.

June 2020:
I (Bernd) revised the chapter "Python Iterators and Generators"

May 2020:
Bernd changed the chapter on "Magic Methods and Operator Overloading". He added further examples of the __call__ method and sharpened the explanations a bit more.

April 2020:
Great news: The listings in the Python tutorial are getting more colorful. Melisa Atay works hard to turn the existing html files into Jupyter Notebooks, which get automatically transformed into html. This way the code listings get syntax highlighting. She also checks the tests and examples by doing this.

February 2020:
Bernd Klein finally finished two new chapters of my machine learning tutorial:

• Lots of people are afraid of Neural Networks but they can be so easy to understand. I hope you will see what I mean, if you have a look at my chapter "From Dividing Lines to Neural Networks"
• The sequal of my previous chapter: Simple Neural Networks and Linearly Separable Data Sets

• The Introductory chapter of the Matplotlib Tutorial
• Spines and Ticks
• Python and Matplotlib Legends and Annotations
• Subplot of Matplotlib
• Using Gridspec to be more flexible with Subplots
• Histogram and Barplots

• Classes and Class Creation
• On the Road to Metaclasses
• Metaclasses
• Count Method Calls Using a Metaclass

• General Introduction into Object Oriented Programming (OOP)
• Class and Instance Attributes
• Properties vs. Getters and Setters
• Inheritance
• Multiple Inheritance
• Magic Methods and Operator Overloading