Author
Advancing into Analytics: From Excel to Python and R, George Mount
Data analytics may seem daunting, but if you’re an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this..
710.00 грн.
Building Microservices: Designing Fine-Grained Systems. 2nd Edition. Sam Newman
As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a ho..
580.00 грн.
Consul: Up & Running: Service Mesh for Any Runtime or Cloud. Luke Kysow
With the advent of microservices, Kubernetes, public cloud, and hybrid computing, site reliability and DevOps engineers are facing more complexity than ever before. Service mesh is an exciting new technology that promises to help tackle this complexi..
490.00 грн.
Data-Oriented Programming: Reduce software complexity. Yehonathan Sharvit
Eliminate the unavoidable complexity of object-oriented designs. The innovative data-oriented programming paradigm makes your systems less complex by making it simpler to access and manipulate data. In Data-Oriented Programming you will learn how to..
760.00 грн.
Entity Framework Core in Action, 2nd Edition, Jon P Smith
Entity Framework Core in Action, Second Edition teaches you to write flawless database interactions for .NET applications. Summary Entity Framework Core in Action, Second Edition is an in-depth guide to reading and writing databases with EF Core. Re..
850.00 грн.
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability
Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regre..
727.00 грн.
Good Code, Bad Code: Think like a software engineer. Tom Long
Practical techniques for writing code that is robust, reliable, and easy for team members to understand and adapt. Summary In Good Code, Bad Code you’ll learn how to: Think about code like an effective software engineer Write functi..
650.00 грн.
Learning Algorithms: A Programmer’s Guide to Writing Better Code. George Heineman
When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions o..
640.00 грн.
Learning Serverless: Design, Develop, and Deploy with Confidence. 1st Ed. Jason Katzer (english)
Whether your company is considering serverless computing or has already made the decision to adopt this model, this practical book is for you. Author Jason Katzer shows early and mid-career developers what's required to build and ship maintainable an..
580.00 грн.
Practical Process Automation. 1st Ed. Bernd Ruecker
In today's IT architectures, microservices and serverless functions play increasingly important roles in process automation. But how do you create meaningful, comprehensive, and connected business solutions when the individual components are decouple..
650.00 грн.
Pro .NET Benchmarking: The Art of Performance Measurement 1st ed.by Andrey Akinshin
Use this in-depth guide to correctly design benchmarks, measure key performance metrics of .NET applications, and analyze results. This book presents dozens of case studies to help you understand complicated benchmarking topics. You will avoid common..
650.00 грн.
Robust Python: Write Clean and Maintainable Code. Patrick Viafore
Does it seem like your Python projects are getting bigger and bigger? Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Python is an easy language to learn and use, but that also means systems can quickly grow ..
820.00 грн.