This one I reckon is one of the most important points for data scientists and data analysts and a very common source of discussion with software engineerings given that we’re very used to code in tools such as Jupyter Notebooks. These tools that are amazing for Exploratory Data Analysis, bu...
In this paper, we present the results from two surveys related to data science applied to software engineering. The first survey solicited questions that software engineers would like to ask data scientists to investigate about software, software processes and practices, and about so...
"Ian's course Software engineering for Data Scientist was really useful to me. I learned more about refactoring and testing which I implemented at work in my current project the week after the training. There are other good practices (including the use of libraries I didn't know) that I am...
the difference between Data Scientist vs Software Engineer lies in their focus and end goal. Data Scientists delve into the world of data, extracting insights, and making predictions. On the other hand, Software Engineers construct the digital infrastructure, crafting the...
Computational scientists across a multitude of disciplines write software, and software engineers have expounded upon software best practices for more than 40 years. In general, however, computational scientists don't read software engineering literature and software engineers don't concern themselves with...
We want to investigate how research software is documented in a field where scientists usually don’t have a computer science background. Due to the highly disciplinary nature of research software, we focused on our discipline, Engineering Science. We conducted a multi-case study with a case-bas...
Writing software exploits is an important practice for offensive security analysts to investigate and prevent attacks. In particular, shellcodes are especi
Continuous Integration is a software practice where developers integrate frequently, at least daily. While this is an ostensibly simple concept, it does leave ample room for interpretation: what is it the developers integrate with, what happens when they
However, scientists, engineers, and financial analysts often struggle to find a viable mathematical formula or formulas for real world data. Without such a formula it is impossible to make predictions or optimize the output of systems. OurMath Recognizerhas a large and growing database of known ...
I want to learn about programming/software/physics/engineering. Can I use FluidX3D for free?Yes. Anyone can use FluidX3D for free for public research, education or personal use. Use by scientists, students and hobbyists is free of charge and well encouraged. I am a scientist/teacher with ...