What are the top books on your reading list this season? Whether you're learning a new skill or adding depth to your existing knowledge in a particular development area, it's always a good idea to get a few more recommendations to your list. We’ve teamed up with Packt to help you discover eight must-read books that you need to add to your collection in 2021.
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Cloud and Admin
Implement real-world DevOps and cloud deployment scenarios using Azure Repos, Azure Pipelines, and other Azure DevOps tools.
What reviews say:
“The book is very carefully walking the reader through everything you need to know to become an Azure DevOps expert. I use DevOps all the time to build and manage Business Central AL development and found the book very useful.”
Kubernetes and Docker - An Enterprise Guide
Apply Kubernetes beyond the basics of Kubernetes clusters by implementing IAM using OIDC and Active Directory, Layer 4 load balancing using MetalLB, advanced service integration, security, auditing, and CI/CD.
What reviews say:
“This book covers most of the topics when an enterprise would like to adopt Kubernetes. What’s more, you hardly can find coverage on these topics in the market!”
Coding and tools
Learning C# by Developing Games with Unity 2020
Get to grips with coding in C# and build simple 3D games with Unity from the ground up with this updated fifth edition of the bestselling guide.
What reviews say:
“If you're serious about learning to build games in Unity your progress will be advanced rapidly if you first have a solid foundation of understanding of C#. This book explains the necessary information to start understanding and using C# to develop games in Unity. After reading this you'll have enough context to begin tearing down other people's code and repurposing it to build your own functionalities for your game.”
iOS 14 Programming for Beginners
Learn iOS app development and work with the latest Apple development tools. Explore the latest features of Xcode 12 and the Swift 5.3 programming language in this updated fifth edition.
What reviews say:
“The author does a good job to capture an effective, quick, and breezy reading/learning/code-along experience. The explanations are concise and easy to follow, although I would imagine a complete newbie to programming entirely might ask a lot of questions in the earlier chapters.”
Data
Quickly build and deploy machine learning models without managing infrastructure, and improve productivity using Amazon SageMaker's capabilities such as Amazon SageMaker Studio, Autopilot, Experiments, Debugger, and Model Monitor.
What reviews say:
“This is a comprehensive book for a data scientist looking to use the AWS ecosystem for machine learning with a focus on Sagemaker. I like the way it is organized which is practical and matches a typical life-cycle of a project.”
Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projects.
What reviews say:
“Data Engineering With Python provides a solid overview of pipelining and database connections for those tasked with processing both batch and stream data flows. Not only for the data miners, this book will be useful as well in a CI/CD environment using Kafka and Spark. It’s very readable and contains lots of practical, illustrative examples.”
Programming
40 Algorithms Every Programmer Should Know: Hone your problem
Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental algorithms, such as sorting and searching, to modern algorithms used in machine learning and cryptography.
What reviews say:
“Who the book is aimed at: if you self-identify as a data scientist, serious algorithms specialist, or even the quant type, then you won’t be disappointed! If you’re just starting in the field, the author has done the hard work of selecting some of the commonly used techniques & algorithms in the field today.”
Learn Quantum Computing with Python and IBM Quantum Experience
A step-by-step guide to learning the implementation and associated methodologies in quantum computing with the help of the IBM Quantum Experience, Qiskit, and Python that will have you up and running and productive in no time.
What reviews say:
“I really like this book. It takes a step-by-step approach to introduce the reader to the IBM Q Experience, to the basics underlying quantum computing, and to the reality of the noise involved in the current machines. This introduction is technical and shows the user how to use the IBM system either directly through the GUI on their website or by running Python code on one's own machine."
Have you read any of these already? Leave your impressions in the comments and don’t forget to share the list with other developers in your circle!
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