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From Build a Career in Data Science by Emily Robinson and Jacqueline Nolis

You’ve got the skills, and you’ve got the portfolio — all you’re missing is the data science job!

In this article, we’ll focus on how to look for data science jobs. You’ll first learn all the places where you can find jobs, making sure you won’t unknowingly narrow your options. We’ll cover how to decode these descriptions to find out what skills you need (spoiler: it’s not all of them) and what the job might be like. Finally, you’ll learn how to choose which ones are best suited for you, using your knowledge about data science skills and company archetypes.


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When something unexpected or unplanned occurs that creates an adverse effect on the system, I define that action as an incident. Some companies reserve the term incident for large catastrophic events, but with this broader definition you get to increase the learning opportunities on your team when an incident occurs. As mentioned previously, at the center of DevOps is this idea of continuous improvement. Incremental change is a win in a DevOps organization, but the fuel that powers that…


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From Street Coder by Sedat Kapanoglu

This article discusses the importance of using data types in programming for writing and maintaining code bases.

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Types

Programmers take data types for granted. Some even argue that programmers are faster in dynamically typed languages like JavaScript or Python because they don’t have to deal with intricate details like deciding the type of each variable.

HINT: Dynamically typed means that data types of variables or class members in a programming language can change during runtime. You can assign a string to a…


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From Code like a Pro in C# by Jort Rodenburg

This article gives an overview of exactly how C# code is compiled.

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How CLI-compliant languages are compiled

In this article, you get an in-depth look at how C# (and other Common Language Infrastructure compliant languages) compiles. Knowing the entire compilation story prepares you to take advantage of all of C#’s features with understanding some of the pitfalls related to memory and execution. …


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From Build a Career in Data Science by Emily Robinson and Jacqueline Nolis

If you have already learned the skills you need for a data science job, why not put them to use in a way that a potential employer can see: by building a portfolio.

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Let’s imagine that prior to reading this you have finished either a bootcamp, a degree program, a set of online courses, or a series of data projects in your current job. …


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Take 37% off The Art of Network Penetration Testing by entering fccdavisr into the discount code box at checkout at manning.com.
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To make use of a Microsoft SQL server as a means to gain remote access to a target host, you first have to obtain a valid set of credentials for the database server. Let’s imagine that you’re going to do a penetration test for a firm called Capsulecorp and have a valid set of credentials for an sa account on 10.0.10.201, and the password for said account: Password1. …


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From High-Performance Python for Data Analytics by Tiago Rodrigues Antao

In this article we will start to explore Python’s framework for concurrency — the first step in developing parallel applications.

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Modern CPU architectures allow for more than one sequential program to be executed at the same time, permitting speed ups up to the number of parallel processing units available (e.g. CPU cores). However most Python code is normally sequential, so it is not able to use all available CPU resources. This means that most Python code doesn’t take…


TWITCH

Stream recap

In case you missed it, here is Christian Clausen’s live Twitch coding stream.

For more, check out Christian’s book Five Lines of Code.

You can subscribe to our Twitch channel here: https://www.twitch.tv/manningpublications


ARTICLES

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

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Patrick runs the product organization at the FunCo Company. One day his phone rings and it’s Jaheim from the sales department. Jaheim has been working his way into a sales meeting with a Quantisys, a large player in the market. He finally got a chance to demo…


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From Chaos Engineering by Mikolaj Pawlikowski

This article explores how you can apply Chaos engineering principles to make your team better.

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Teams as distributed systems

What’s a distributed system? Wikipedia defines it as “a system whose components are located on different networked computers, which communicate and coordinate their actions by passing messages to one another” (https://en.wikipedia.org/wiki/Distributed_computing). If you think about it, a team of people behaves like a distributed system, but instead of computers we’ve individual humans doing things and passing messages to one another.

Let’s imagine a team responsible for…

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