Data Science Tools, Languages, Platforms, and Frameworks

3 Easy Tricks to Create New Columns in Python Pandas

Modeling Python Tools & Languagesposted by ODSC Community February 9, 2022

In data processing & cleaning, we need to create new columns based on values in existing columns. In this blog, I explain How to create new columns derived from existing columns” with 3 simple methods. · Use lambda Function with apply() method · Use numpy.select() method... Read more

Tips and Tricks in RStudio and R Markdown

R Tools & Languagesposted by Antoine Soetewey January 3, 2022

If you have the chance to work with an experienced programmer, you may be amazed by how fast she can write code. In this article, I share some tips and shortcuts you can use in RStudio and R Markdown to speed up the writing of your... Read more

Is Groovy a Viable Language for Data Science Applications? 5 Pros and Cons

Guest contributor Modeling Tools & Languages Groovyposted by April Miller December 1, 2021

Choosing the right programming language can make a remarkable difference in data science applications. While the industry standards are Python and R, some data scientists have branched off to use others they prefer. One such possible alternative is the Groovy programming language. Apache Groovy is an... Read more

SAS Opens its Code Editor Interface to Python Users

Guest contributor Python Tools & Languages SAS SAS Blogsposted by ODSC Community November 9, 2021

Data science teams are multidisciplinary, each with different skills and technologies of choice. Some of them use SAS, others may have analytical assets already built in Python or R. Let’s just say each team is unique. As part of our Continuous Integration/Continuous Delivery with monthly releases,... Read more

How to Import an Excel File in RStudio

R Tools & Languages Excel Rposted by Antoine Soetewey October 6, 2021

As we have seen in this article on how to install R and RStudio, R is useful for many kinds of computational tasks and statistical analyses. However, it would not be so powerful and useful without the possibility to import datasets into R. As you will most... Read more

6 Trending Python Machine Learning Packages on PyPI

Machine Learning Modeling Python Tools & Languages Keras mxnet ONNX PyTorch Scikit-Learn TensorFlowposted by ODSC Team September 28, 2021

As the most popular programming language for data science, Python packages, frameworks, and libraries are pulled by the millions each month. Month-to-month, Python packages reflect growing trends in the field of data science; as NLP is talked about more often, so will we see more packages... Read more

Handling Exceptions in Python Object-Oriented Programming

Guest contributor Modeling Python Tools & Languagesposted by ODSC Community September 15, 2021

Systems built with software can be fragile. While the software is highly predictable, the runtime context can provide unexpected inputs and situations. Devices fail, networks are unreliable, mere anarchy is loosed on our application. We need to have a way to work around the spectrum of... Read more

5 Reasons to Learn Python in 2021

Modeling Python Tools & Languagesposted by Alex Landa, ODSC September 14, 2021

You never hear about data science without hearing about Python as well, and for good reason as it’s the most common language for data scientists. In fact, 69% of data scientists report using Python, compared to 24% using R. This doesn’t mean Python is superior in... Read more

Develop and Deploy a Machine Learning Pipeline in 45 Minutes with Ploomber

Machine Learning Modeling Python West 2021posted by ODSC Community August 10, 2021

It’s standard industry practice to prototype Machine Learning pipelines in Jupyter notebooks, refactor them into Python modules and then deploy using production tools such as Airflow or Kubernetes. However, this process slows down development as it requires significant changes to the code. Ploomber enables a leaner... Read more

Decoupling Complex Systems with Event Driven Python Programming

Guest contributor Modeling Python Tools & Languagesposted by ODSC Community July 2, 2021

We often think about events as ordered points in time that happen one after another, often with some kind of cause-effect relationship. But, in programming, events are often understood a bit differently. They are not necessarily “things that happen.” Events in programming are more often understood... Read more