Research software plays both a central and critical role in almost every aspect of modern science. Its usage varies heavily 5: it can be used to process data, perform analyses, model complex phenomena ...
This tutorial is designed to easily learn TensorFlow for time series prediction. Each tutorial subject includes both code and notebook with descriptions. Python (3.4.4) TensorFlow (r0.9) numpy (1.11.1 ...
Link to tutorial on Github: https://github.com/hydroclimali/XEE_tutorial/blob/main/xee_demo.ipynb I've been working with geospatial datasets for 13+ years now (since ...
Pandas is a powerful library for data manipulation in Python. It provides various ways to work with data, and choosing the right method can significantly impact the performance of your code. In this ...
NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...
Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of ...
You can view the video of the talk here. Thomas Wiecki, Quantopian Inc. and Brown University Thomas Wiecki is a Quantitative Researcher at Quantopian Inc-- a Boston ...
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