The ability to explore and grasp data structures through quick and intuitive visualisation is a key skill of any data scientist. At PyConIE 2018, I presented a talk on the...continue reading.
Learn how to use Python’s pandas library to effectively explore, clean, and visualize your data. Become more fluent at using pandas to answer data science questions.continue reading.
This tutorial will show you how to use the NumPy sort method, which is sometimes called np.sort or numpy.sort. As the name implies, the NumPy sort technique enables you to...continue reading.
Dave’s Donuts offers 14 flavors of donuts (consider the supply of each flavor as being unlimited). The “grab bag” box consists of flavors randomly selected to be in the box,...continue reading.
Anyone familiar with the use of Python for data science and analysis projects has googled some combination of “plotting in python”, “data visualisation in python”, “barcharts in python” at some...continue reading.
In this tutorial, I’ll explain how to use the NumPy random seed function, which is also called np.random.seed or numpy.random.seed. The function itself is extremely easy to use. However, the...continue reading.
I’m helping organise a conference on (geo)spatial open source software – FOSS4G. We’re hosting it in the great city of Edinburgh, Scotland in September 2019. Abstract submissions: https://uk.osgeo.org/foss4guk2019/talks_workshops.html We’re very...continue reading.
Data Science Einsteiger stehen immer wieder vor der gleichen Frage: Welche Programmiersprache sollte man als Erstes lernen? Die Wahl fällt meistens auf eine der beiden großen Anbieter, R oder Python....continue reading.
In this tutorial, I’ll show you how to make a simple matplotlib line chart. Essentially, I’ll show you how to use the plt.plot function from pyplot to create a line...continue reading.
In this post, we will solve a simple problem (called “FizzBuzz”) that is asked by some employers in data scientist job interviews. The question seeks to ascertain the applicant’s familiarity...continue reading.
I finished the #100DaysOfCode challenge and it feels great! I will tell you a little a bit about my experience. Top 5 Takeaways: Sitting down and writing code every day...continue reading.
In this tutorial, I’ll show you how to use the loc method to select data from a Pandas dataframe. If you’re new to Pandas and new to data science in...continue reading.
We at STATWORX are opening our doors for anyone who wants to learn more about data. Our open workshop is designed for Python-beginners and provides the perfect mixture between theory...continue reading.
In my neverending quest to track The Popularity of Data Science Software, it’s time to update the section on Scholarly Articles. The rapid growth of R could not go on...continue reading.
Comparing free services for running an interactive Jupyter Notebook in the cloud: Binder, Kaggle Kernels, Google Colab, Azure Notebooks, CoCalc, Datalore.continue reading.
Our latest tool development at STATWORX: random boost, an algorithm twice as fast as gradient boosting, with comparable prediction performance. Der Beitrag How to Speed Up Gradient Boosting by a...continue reading.
Co-Author: Eric Kammers Part 1 – Theoretical Background The Dynamic Mode Decomposition (DMD) was originally developed for its application in fluid dynamics where it could decompose complex flows into simpler...continue reading.
Initial data acquisition and data analysis In order to get an idea of what our data looks like, we need to look at it! The Jupyter Notebook, embedded below, will...continue reading.
We at STATWORX use mostly R or Python for our projects. But why not both? With the help of the reticulate package we can use Python within R. Here we...continue reading.
In this tutorial, I’ll show you how to make a matplotlib scatter plot. The scatter plot is a relatively simple tool, but it’s also essential for doing data analysis and...continue reading.
Artificial intelligence / Deep neural networks / Keras / R / R News / Spark
April 22, 2024
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
