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Good and bad flexibility in code

By Christian Clausen

Flexibility is essential for long-lived codebases, however, it comes at a price. It requires effort to maintain flexibility and improperly-implemented flexibility can actually make a codebase harder to maintain. In this article, I show how good flexibility can be extracted from the structure of our code with minimal effort. But before we get into that, let’s discuss what flexibility in a codebase means.

Before You Model: planning and scoping

From Machine Learning Engineering in Action by Ben Wilson

Before we get into how successful planning phases for ML projects are undertaken, let’s go through a simulation of the genesis of a typical project at a company that doesn’t have an established or proven process for initiating ML work.

Fear of Deployments

From Operations Anti-Patterns, DevOps Solutions by Jeffery Smith

This article covers

Longer release cycles and their impact to the team’s deployment confidence
Automation techniques for deployments
The value of code deployment artifacts
Feature flags for releasing incomplete code

On this day 10/08

manning.com On this day… Mortal Kombat Released October 8 1992 The arcade fighter game Mortal Kombat released today in 1992. The game was a storming success, whilst quickly attracting condemnation for its hyper violent graphics and realistic digital gore. Its… Continue Reading →

On this day 02/09

manning.com On this day… Ulysses S. Grant Lays The Foundations For The Weather Service February 9th 1870 Today in 1870, President Ulysses S. Grant signed a joint declaration of congress establishing a mission to “provide for taking meteorological observations at… Continue Reading →

What are Pulsar Functions?

From Apache Pulsar in Action by David Kjerrumgaard

This article gives an intro into Pulsar Functions: what they are and what they do.

Packing Your Knapsack for a Trip to Mars

From Advanced Algorithms and Data Structures by Marcello La Rocca

You’ve been selected to be among the first people to colonize Mars! Now you have to pack the optimal amount of food to get the most calories per kilogram—how can algorithms help?

PyTorch Crash Course, Part 2

From Deep Learning with PyTorch by Eli Stevens and Luca Antiga

In this article, we explore some of PyTorch’s capabilities by playing with pre-trained networks.

Introducing Redux

From Redux in Action by Marc Garreau and Will Faurot

If you’re interested in Redux, but don’t know a lot about it, this article gives an introduction to Redux and what it does in web development.

Distilling Business Domains from a Ubiquitous Language

From Writing Great Specifications by Kamil Nicieja

A ubiquitous language has to be a language that grows out of blending technological expertise with business expertise in reasonable proportions. This article discusses how to ‘distill’ business domains from the ubiquitous language of a business or project.

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