- MATLAB R2020b
This article will go over VersionBay’s favorite features in MATLAB.
- Touch Biometrix
Visualizing Fingerprints in 3D from Touch Biometrix Revolutionary Fingerprint Sensing Today’s technology users want a convenient and secure means of being identified when using smart technology. Touch Biometrix’s unique fingerprint sensing platform offers the solution. A biometric platform based on […]
- Python 3.9 is out!
A new version of Python was released on October 5, 2020. This technical article will go over some of the highlights of what is new in Python 3.9 that are interesting if you are an Engineer, Scientist or Quant using […]
- Improving MATLAB code: Fibonacci example
This article will focus on MATLAB Profiler as a tool to help improve MATLAB code.
- Pandas 1.1.0 is out!
This article will go over a few highlights of Pandas 1.1.0.
- MATLAB R2020a
VersionBay’s favorite new features in R2020a.
- Readability vs Performance
What is the best way to calculate the average Height per Gender?
- Simple Pivot Table in Python
A simple pivot table can be done with 1 lines of code with Python and Pandas.
- MATLAB R2019b
VersionBay’s favorite new features in R2019b.
- Python 3.8 is out!
A new version of Python was released on October 14, 2019, and it is exactly 17112 days or nearly 47 years after episode 3.8 (Season 3, Episode 8) of Monty Python’s Flying Circus.
- Tables in R2019b
Table Variable Names can have any characters including spaces and non-ASCII Characters.
CFD Toolbox is now 25% faster QuickerSim is a MathWorks partner that developed a Computational Fluid Dynamics (CFD) Toolbox on top of MATLAB. QuickerSim CFD Toolbox for MATLAB version 2.4 provides a series of improvements allowing users to tackle a […]
- MATLAB R2019a Version Highlights
VersionBay’s favorite new features in R2019a.
- MATLAB R2019a:
Import Tool just got better
Practical example of how the Import Tool improved from R2018b to R2019a.
- Merging Time
Combining data from different sensors is a common use case for MATLAB. See how these 7 new features in R2019a make this task even easier.
- Simple Pivot Table in
MATLAB in less than 1 minute
A simple pivot table can be done with 4 lines of code in MATLAB.
- Lightning Fast – Parsing Multiple CSV Files
MATLAB can parse CSV Files really quickly with datastore.
- Revisiting MATLAB performance according to Julia’s benchmarks
A deeper dive into Julia’s MATLAB performance benchmark.
- Sort became faster in R2018b
One of the highlights of R2018b, is that the function sort got fast. Read here to see just how much faster.