Programming

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By Benjamin Evans, Martijn Verburg , Jason Clark
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$6999 $5949
About the book With The Well-Grounded Java Developer, Second Edition you will go beyond feature descriptions and learn how Java operates at the bytecode level. Master high-value techniques for concurrency and performance optimization, along with must-know practices for build, test, and deployment. You’ll even look at alternate JVM languages like Kotlin and Clojure. Digest this book and stand out from the pack. What's inside     The new Java module system     Performance tuning the JVM     Maximizing CI/CD with Maven and Gradle     Running the JVM in containers     Planning for future JVM releases
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By Alex Martelli
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$3345 $3011
Alex Martelli has been programming for 40 years, mainly in Python for the recent half of that time. He wrote the first two editions of Python in a Nutshell, and co-authored the first two editions of the Python Cookbook and the third edition of Python in a Nutshell. He is a PSF Fellow and Core Committer, and won the 2002 Activators' Choice Award and the 2006 Frank Willison Memorial Award for contributions to the Python community. He is active on Stack Overflow and a frequent speaker at technical conferences. He's been living in Silicon Valley with his wife Anna for over 16 years, and working at Google throughout this time, currently as Senior Staff Engineer leading "long tail" tech support for Google Cloud.
AuthorAlex Martelli BindingPaperback
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Jason Rivera is a SharePoint architect, developer, and consultant in Philadelphia. Specializing in SharePoint and Microsoft 365 solution architecture, he plans and implements tailored solutions with the goal of enhancing communication, productivity, and collaboration. Jason has over a decade of experience in designing and implementing business solutions that integrate with line of business systems to achieve each customer's unique goals. His work has taken him from the DC area to New York, working with companies in various industries from local small businesses to global corporations.
AuthorJason Rivera BindingPaperback
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By Ai Publishing
In stock
$3000 $2100
How Is This Book Different? Most Python books assume you know how to code using Pandas, NumPy, and Matplotlib. But this book does not. The author spends a lot of time teaching you how actually write the simplest codes in Python to achieve machine learning models. In-depth coverage of the Scikit-learn library starts from the third chapter itself. Jumping straight to Scikit-learn makes it easy for you to follow along. The other advantage is  Jupyter Notebook  is used to write and explain the code right through this book. You can access the datasets used in this book easily by downloading them at runtime. You can also access them through the  Datasets  folder in the SharePoint and GitHub repositories. You also get to work on three hands-on mini-projects:
AuthorAi Publishing BindingPaperback
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By Sean T. Allen
$4999 $4499
Sean T. Allen  has worked in software for over 20 years. He works as Principal Architect for TheLadders. He is one of the developers of Redline Smalltalk; an implementation of the Smalltalk programming language that runs on the JVM. Matthew Jankowski  has been involved in the development of software systems for over 10 years. Throughout his career, he has participated in a wide variety of projects, with a majority of the focus on the development of RESTful web services. Peter Pathirana  is a Lead Software Engineer at TheLadders.com at the vanguard of the Recommendations platform architecture.
AuthorSean T. Allen BindingPaperback
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By Davy Cielen
$4499 $3599
Davy Cielen  is one of the founders and managing partners of Optimately where he focuses on leading and developing data science projects and solutions in various sectors and closely follows new developments in data science. Before Optimately he worked on data science and big data projects at a major retailer. Arno Meysman  is one of the founders and managing partners of Optimately where he focuses on leading and developing data science projects and solutions in various sectors and closely follows new developments in data science. Before Optimately he worked on data science and big data projects at a major retailer. Apart from data science he is also into data visualisation and generally "Creating data-driven things that are smart, interactive and pretty". Mohamed Ali  is one of the founders and managing partners of Optimately and Maiton, where they focus on developing data science projects and solutions in various sectors.
AuthorDavy Cielen BindingPaperback
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By Dr Jonathan Carroll
$4999 $4499
Dr Jonathan Carroll  holds a PhD from the University of Adelaide in theoretical astrophysics, currently working in statistical modelling. He contributes packages to R, is a frequent contributor of answers on StackOverflow and an avid science communicator.
AuthorDr Jonathan Carroll BindingPaperback
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By Max Pumperla, Kevin Ferguson
$5499 $4399
Max Pumperla  is a Data Scientist and Engineer specializing in Deep Learning at the artificial intelligence company skymind.ai. He is the co-founder of the Deep Learning platform aetros.com. Kevin Ferguson  has 18 years of experience in distributed systems and data science. He is a data scientist at Honor, and has experience at companies such as Google and Meebo.
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By Alexander Dean, Valentin Crettaz
$4499 $4049
Alexander Dean  is co-founder and technical lead of Snowplow Analytics, an open source event processing and analytics platform. Valentin Crettaz  is an independent IT consultant who's been working for the past 25 years on many different challenging projects across the globe. His expertise ranges from software engineering and architecture to data science and business intelligence. His daily job boils down to leveraging the latest and most cutting-edge web, data, and streaming technologies to implement IT solutions that will help reduce the cultural gap between IT and business people.
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By Jesse Daniel
$4999 $3999
Jesse Daniel  has five years of experience writing applications in Python, including three years working with in the PyData stack (Pandas, NumPy, SciPy, Scikit-Learn). Jesse joined the faculty of the University of Denver in 2016 as an adjunct professor of business information and analytics, where he currently teaches a Python for Data Science course.
AuthorJesse Daniel BindingPaperback
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By Nina Zumel, John Mount
$4999 $3999
Nina Zumel  co-founded Win-Vector, a data science consulting firm in San Francisco. She holds a PH.D. in robotics from Carnegie Mellon and was a content developer for EMC's Data Science and Big Data Analytics Training Course. Nina also contributes to the Win-Vector Blog, which covers topics in statistics, probability, computer science, mathematics and optimization. John Mount  co-founded Win-Vector, a data science consulting firm in San Francisco. He has a Ph.D. in computer science from Carnegie Mellon and over 15 years of applied experience in biotech research, online advertising, price optimization and finance. He contributes to the Win-Vector Blog, which covers topics in statistics, probability, computer science, mathematics and optimization.
AuthorNina Zumel, John Mount BindingPaperback
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By Hefin I. Rhys
$4999 $3999
Hefin Ioan Rhys  is a senior laboratory research scientist in the Flow Cytometry Shared Technology Platform at The Francis Crick Institute. He spent the final year of his PhD program teaching basic R skills at the university. A data science and machine learning enthusiast, he has his own Youtube channel featuring screencast tutorials in R and R Studio.
AuthorHefin I. Rhys BindingPaperback
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