Transformation

enthought-science-research-cells

The Importance of Large Language Models in Science Even If You Don’t Work With Language

Jun 11, 2023

OpenAI’s ChatGPT, Google’s Bard, and other similar Large Language Models (LLMs) have made dramatic strides in their ability to interact with people using natural language. Users can describe what they want done and have the LLM “understand” and respond appropriately. 

Read More

4 Reasons to Learn Xarray and Awkward Array—for NumPy and Pandas Users

Jun 5, 2023

You know it. We know it. NumPy is cool. Pandas is cool. We can bend them to our will, but sometimes they’re not the right tools for the job. Enter Xarray and Awkward Array. Read on for the four reasons why you need to learn these Python packages.   Reason 1:  You need labeled arrays of…

Read More
Enthought | Making the Most of Small Data in R&D

Making the Most of Small Data in Scientific R&D

Mar 11, 2023

For many traditional innovation-driven organizations, scientific data is generated to answer specific immediate research questions and then archived to protect IP, with little attention paid to the future value of reusing the data to answer other similar or tangential questions.

Read More

7 Lesser-Known Command Line Tools That Ship with Python

Apr 10, 2023

Like most people, I mostly interact with Python using the default REPL or with IPython. Yet, I often reach for one of the Python tools that come with the standard library. All these tools are implemented as “mains” in the various scripts and modules. Here are 7 I use on a semi-regular basis. 1. &…

Read More

ChatGPT on Software Engineering

Mar 7, 2023

Recently, I’ve been working on a new course offering in Enthought Academy titled Software Engineering for Scientists and Engineers course. I’ve focused on distilling the software engineering best practices that we use at Enthought with our clients, with the twist of “what parts are most useful for a scientist who writes software for R&D?” After…

Read More
Enthought | Scientific Data

Extracting Value from Scientific Data to Accelerate Discovery and Innovation

Feb 1, 2023

In the digital era, robust data tools are crucial for all companies and the science-driven industries like the life sciences, materials science, and chemistry are no exception.

Read More

What’s in a __name__?

Feb 7, 2023

if __name__ == “__main__”: When I was new to Python, I ran into a mysterious block of code that looked something like: def main():     # do some stuff if __name__ == “__main__”:     main() Looking at the code, I could see that it ran the main() function after checking the status of…

Read More

3 Trends for Scientists To Watch in 2023

Dec 19, 2022

As a company that delivers Digital Transformation for Science, part of our job at Enthought is to understand the trends that will affect how our clients do their science. Below are three trends that caught our attention in 2022 that we predict will take center stage in 2023. ChatGPT This one just showed up on…

Read More

Accelerating Science: the Classical Mechanics Perspective

Dec 6, 2022

When thinking about enhancing R&D processes, Newton’s second law of motion provides the perfect framework. Classical mechanics teaches us that putting a body into motion requires applying force. The resulting acceleration will be the sum of the forces applied to the body, divided by the body’s mass: a = F/m. So, if we want to…

Read More

Announcing Enthought Academy

Oct 10, 2022

Dear Students and Friends of Enthought,  I am pleased to announce Enthought Academy—the culmination of over twenty years of teaching Scientific Python. Since our founding in 2001, Enthought has worked in the Scientific Python ecosystem, consulting in both the public and private sectors, solving hard science problems. As the creators of the SciPy package, cofounders…

Read More