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Computer Programming Python, Machine Learning, ...
9,95 € *
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This book, Computer Programming Python, Machine Learning, JavaScript Swift, Golang, is a wonderful assortment of the absolute best languages to know for the future.   It is the most optimum choice of programming languages to choose for a single book. It includes the main essential languages, like Python and JavaScript, that every programmer should walk into an interview knowing. But it also includes some little known new languages that you may not have heard of, that are so easy to learn and versatile and cross platformed that they are set to explode in popularity in the near future. More about this later. If you listen to this book and learn these languages, then your future will be lived on your own terms. Consider going into a job interview respectfully but with zero worry. Where the potential employer is the one that’s being interviewed. And he seems a little desperate and a little too accommodating that you know this is going to be another one of those interviews where he either stands up after 20 minutes offers to shake your hand and offers you the job right there on the spot. Or the interview turns into an HR interview where your assumed to be hired based on your application and you are just going through the paperwork and company benefits and policies. Either way, based on what you want to do, you can take the job or not take that job, because you have a choice. Opposed to the alternative of being told that you will get a call in a few weeks or, "don’t call us, we’ll call you".   About these languages:Python: Some of the companies that use Python are, Google, Facebook, Instagram, NASA, Mozilla, Firefox, Dropbox, IBM, Reddit, and Quora.Python is becoming one of the world's most popular programming languages. Java Script users include Paypal, Netflix, Uber, Groupon, Facebook, Google, Ebay, Airbnb, Stack, Slack, and Instagram Machine Learning.(AI): What is it? And what is 1. Language: English. Narrator: George Freeman. Audio sample: http://samples.audible.de/bk/acx0/172841/bk_acx0_172841_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 09.12.2019
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Scaling for E-Business: Technologies, Models, P...
52,90 CHF *
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The complete guide to planning and building E-business sites! Ensure functionality through performance modeling and capacity planning methods -- correctly analyze and project site needs and performance! Keep your site from crashing, losing money and customer confidence: ensure scalability and handle peak demands. Foreword by Jim Gray: Microsoft Research and 1998 ACM Turing Award Recipient. In 1999, slow E-commerce sites cost their owners $44 billion in lost revenue -- and site failures have embarrassed companies from Britannica to eBay, Victoria's Secret to Charles Schwab. In Scaling for e-Business, two of the world's leading Web performance experts present powerful techniques for characterizing, predicting, anticipating, and addressing every aspect of E-commerce site performance. Scaling for e-Business demonstrates how to characterize E-commerce workloads more accurately than any book published yet. It clearly demonstrates techniques for analyzing the performance of authentication and payment services; modeling contention for software servers; modeling and planning for communications infrastructure; and most importantly, forecasting and addressing peak demand. Finally, the Web/E-Commerce developer will discover how to evaluate and project the long-term impact of changes in his/her site visitor profile -- even the growth of non-PC devices and traffic from 'intelligent agents' such as comparative shopping bots. Daniel A. Menascé is Professor of Computer Science at George Mason University, and a fellow of the Association for Computing Machinery. He holds a Ph.D. in Computer Science from UCLA. Virgilio A.F. Almeida Professor of Computer Science at the Federal University of Minas Gerais, Brazil, holds a Ph.D. in Computer Science from Vanderbilt University, and formerly held a visiting research position at Xerox PARC. Their research interests include performance modeling and capacity planning for large-scale Web and e-commerce systems.

Anbieter: Orell Fuessli CH
Stand: 09.12.2019
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Scaling for E-Business: Technologies, Models, P...
64,99 € *
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The complete guide to planning and building E-business sites! Ensure functionality through performance modeling and capacity planning methods -- correctly analyze and project site needs and performance! Keep your site from crashing, losing money and customer confidence: ensure scalability and handle peak demands. Foreword by Jim Gray: Microsoft Research and 1998 ACM Turing Award Recipient. In 1999, slow E-commerce sites cost their owners $44 billion in lost revenue -- and site failures have embarrassed companies from Britannica to eBay, Victoria's Secret to Charles Schwab. In Scaling for e-Business, two of the world's leading Web performance experts present powerful techniques for characterizing, predicting, anticipating, and addressing every aspect of E-commerce site performance. Scaling for e-Business demonstrates how to characterize E-commerce workloads more accurately than any book published yet. It clearly demonstrates techniques for analyzing the performance of authentication and payment services; modeling contention for software servers; modeling and planning for communications infrastructure; and most importantly, forecasting and addressing peak demand. Finally, the Web/E-Commerce developer will discover how to evaluate and project the long-term impact of changes in his/her site visitor profile -- even the growth of non-PC devices and traffic from 'intelligent agents' such as comparative shopping bots. Daniel A. Menascé is Professor of Computer Science at George Mason University, and a fellow of the Association for Computing Machinery. He holds a Ph.D. in Computer Science from UCLA. Virgilio A.F. Almeida Professor of Computer Science at the Federal University of Minas Gerais, Brazil, holds a Ph.D. in Computer Science from Vanderbilt University, and formerly held a visiting research position at Xerox PARC. Their research interests include performance modeling and capacity planning for large-scale Web and e-commerce systems.

Anbieter: Thalia AT
Stand: 09.12.2019
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