Distributing your own package on PyPi

In Regular Expressions Demystified I developed a little python package and distributed it via PyPi. I wanted to publish my second self-written package as well, but coming back after almost a year, some things have changed in the world of PyPi, i.e. the old tutorials aren’t working anymore. So I wrote this article to bring…

My Barcamp History

I became a bar camp afficionade after I attendend the Software Engineering Camp in 2016 2024 Software Engineering Camp 2024 2023 BarCamp Regensburg Seneca BarCamp Nürnberg Digital Festival Creator’s BarCamp 2022 Meetup Let’s talk about Web Security! BarCamp Regensburg 2022 DevOps Camp 2022 Recap 2019 Software Engineering Camp 2019 PyConDE Berlin 2019 BarCamp Regensburg 2019…

My Management 3.0 Experiments

My Experiments so far Kudo Cards I gave Kudo Cards to my colleague Michi M. for preparing a nice presentation my colleague Bastian B. for driving an extra tour my colleague Jannik for voluntarily organizing a team event our HR department for introducing a new tool for our application process my CEO for giving me…

BarCamp Regensburg 2018

The Barcamp Regensburg 2018 took place on October 13th and 14th at Techbase Regensburg. Due to my visit to DevOps Camp Nuremberg on Saturday, I could only visit this barcamp on Sunday. Sessions I participated in a session about Dress Code at work,  learned about meditation and talked about the Bavarian Landtagswahl. I also held…

Introduction to matplotlib

Overview matplotlib is the workhorse of data science visualization. The module pyplot gives us MATLAB like plots. You can install it via pip install matplotlib The most basic plot is done with the “plot”-function. It looks like this: import matplotlib.pyplot as plt plt.plot([0, 1, 2, 3], [0, 1, 2, 3]) plt.show() The plot function takes…

Scatterplot with matplotlib

When you area already familiar with the basic plot from the introduction to matplotlib here is another type of plot used in data science. A very basic visualization is the scatter plot: import numpy as np import matplotlib.pyplot as plt N = 100 x = np.random.rand(N) y = np.random.rand(N) plt.scatter(x, y) plt.show() Color of the…

Feature Scaling

What is Feature Scaling? Feature Scaling is an important pre-processing step for some machine learning algorithms. Imagine you have three friends of whom you know the individual weight and height. You would like to deduce Christian’s  t-shirt size from David’s and Julia’s by looking at the height and weight. Name Height in m Weight in…

Review Management 3.0 by Jurgen Appelo – Part 1

The author Jurgen Appelo is “an entrepreneur, speaker, and writer pioneering leadership to help innovative businesses survive and thrive in the 21st century.” The book This book is a beast! On almost 400 pages divided into 16 chapters Jurgen lays the foundation for his Management 3.0 concept. Chapter 1 Marty the M3.0 monster 6 views…