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These 5 Python libraries turned me into a better data analyst than Excel ever could

The power of Python trumps Excel workbooks.
IEEE

TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes

Abstract: Serverless computing is a cloud computing paradigm that allows developers to focus exclusively on business logic as cloud service providers manage resource management tasks. Serverless ...
IEEE

Model asymmetrical detector response function with a skew normal distribution function in PET

Abstract: In PET image reconstruction, a point-spread-function (PSF) in the form of normal distribution is commonly used to model the detector response function. The PSF becomes asymmetrical off the ...
GitHub

the-normal-cdf.py

and samples_std10), generate and plot the CDFs. Instructions -Use your ecdf() function to generate x and y values for CDFs: x_std1, y_std1, x_std3, y_std3 and x_std10, y_std10, respectively. -Plot all ...
InfoWorld

The best Python libraries for parallel processing

Python does include another native way to run a workload across multiple CPUs. The multiprocessing module spins up multiple copies of the Python interpreter, each on a separate core, and provides ...
Psychology Today

The Fascinating World of the Normal Curve

Imagine you're at a fair, and you see a booth with a giant dartboard. The booth owner challenges you to hit the bullseye. You take your shot, and the dart lands somewhere on the board. Now imagine ...
eLife

MotorNet: a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...