Lynx Roundup, September 6th 2019

Lynx Roundup, September 6th 2019

Python & Hardware-based parallelism! Trees in Data Science ! The arange function in NumPy!

Matthew Alhonte
Matthew Alhonte

How to Use the Numpy Sum Function
Concurrency with Python: Hardware-Based Parallelism > Ying Wang
The Concurrency with Python Series: Concurrency with Python: Why? Concurrency with Python: Threads and Locks Concurrency with Python: Functional Programming Concurrency with Python: Separating Identity From State Concurrency with Python: Actor Models Concurrency with Python: CSP and Coroutines Conc…
Who’s the boss? In worker-owned cooperatives, everyone is.
For 12% of U.S. workers, employee-owned co-ops offer a path to economic equality that resonates with socialists, liberals, and conservatives.
Trees in data science
One of the most easy to interpret models in machine learning are CART’s(Classification and Regression Trees) known popularly as decision trees. In this post I wish to give an overview of Decision…
NumPy arange(): How to Use np.arange() – Real Python
In this step-by-step tutorial, you’ll learn how to use the NumPy arange() function, which is one of the routines for array creation based on numerical ranges. np.arange() returns arrays with evenly spaced values.
Tips and tricks from my Telegram-channel @pythonetc, June 2019
It is a new selection of tips and tricks about Python and programming from my Telegram-channel @pythonetc. ← Previous publications The \ symbol in regular s...

Matthew Alhonte

Supervillain in somebody's action hero movie. Experienced a radioactive freak accident at a young age which rendered him part-snake and strangely adept at Python.