Tanmay Teaches Go The Ideal Language For Backend Developers
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Tanmay Teaches Go The Ideal Language For Backend Developers
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Author : Tanmay Bakshi
language : en
Publisher: McGraw Hill Professional
Release Date : 2021-05-28
Tanmay Teaches Go The Ideal Language For Backend Developers written by Tanmay Bakshi and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-28 with Computers categories.
Write your own efficient, performant, and lightweight programs using Go Quickly start developing your own Google Go programs using the practical information contained in this engaging resource. Social media personalities Tanmay Bakshi and Baheer Kamal show, step by step, how to develop custom applications that fully utilize Go’s lightweight runtime and concurrency features. Tanmay Teaches Go: The Ideal Language for Backend Developers teaches by doing. This book guides you through the development and programming processes and features detailed examples, code samples, and time-saving tips. Inside, you’ll learn to: Install Go on Windows, Linux, or macOS devices Get up and running with writing your own Go apps Define variables and use them in your programs Work with statements, functions, loops, and arrays Use Go modules to simplify program development Utilize built-in and third-party packages Write custom packages that fit your programming needs Understand classic structures and algorithms Improve performance using Go routines and concurrency Import external code—even code not written in Go!
Tanmay Teaches Julia For Beginners A Springboard To Machine Learning For All Ages
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Author : Tanmay Bakshi
language : en
Publisher: McGraw Hill Professional
Release Date : 2019-12-06
Tanmay Teaches Julia For Beginners A Springboard To Machine Learning For All Ages written by Tanmay Bakshi and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-06 with Technology & Engineering categories.
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A quick guide to start writing your own fun and useful Julia apps—no prior experience required! This engaging guide shows, step by step, how to build custom programs using Julia, the open-source, intuitive scripting language. Written by 15-year-old technology phenom Tanmay Bakshi, the book is presented in an accessible style that makes learning easy and enjoyable. Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages clearly explains the basics of Julia programming and takes a look at cutting-edge machine learning applications. You will also discover how to interface your Julia apps with code written in Python. Inside, you’ll learn to: • Set up and configure your Julia environment • Get up and running writing your own Julia apps • Define variables and use them in your programs • Use conditions, iterations, for-loops, and while-loops • Create, go through, and modify arrays • Build an app to manage things you lend and get back from your friends • Create and utilize dictionaries • Simplify maintenance of your code using functions • Apply functions on arrays and use functions recursively and generically • Understand and program basic machine learning apps
Hands On Predictive Analytics With Python
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Author : Alvaro Fuentes
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-28
Hands On Predictive Analytics With Python written by Alvaro Fuentes and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-28 with Computers categories.
Step-by-step guide to build high performing predictive applications Key FeaturesUse the Python data analytics ecosystem to implement end-to-end predictive analytics projectsExplore advanced predictive modeling algorithms with an emphasis on theory with intuitive explanationsLearn to deploy a predictive model's results as an interactive applicationBook Description Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This book provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. The book's step-by-step approach starts by defining the problem and moves on to identifying relevant data. We will also be performing data preparation, exploring and visualizing relationships, building models, tuning, evaluating, and deploying model. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seaborn, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. By the end of this book, you will be all set to build high-performance predictive analytics solutions using Python programming. What you will learnGet to grips with the main concepts and principles of predictive analyticsLearn about the stages involved in producing complete predictive analytics solutionsUnderstand how to define a problem, propose a solution, and prepare a datasetUse visualizations to explore relationships and gain insights into the datasetLearn to build regression and classification models using scikit-learnUse Keras to build powerful neural network models that produce accurate predictionsLearn to serve a model's predictions as a web applicationWho this book is for This book is for data analysts, data scientists, data engineers, and Python developers who want to learn about predictive modeling and would like to implement predictive analytics solutions using Python's data stack. People from other backgrounds who would like to enter this exciting field will greatly benefit from reading this book. All you need is to be proficient in Python programming and have a basic understanding of statistics and college-level algebra.
Think Julia
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Author : Ben Lauwens
language : en
Publisher: O'Reilly Media
Release Date : 2019-04-05
Think Julia written by Ben Lauwens and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-05 with Computers categories.
If you’re just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand types, methods, and multiple dispatch Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design and data structures through case studies
The Dart Programming Language
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Author : Gilad Bracha
language : en
Publisher: Addison-Wesley Professional
Release Date : 2015-12-07
The Dart Programming Language written by Gilad Bracha and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-07 with Computers categories.
Dart is a class-based, object-oriented language that simplifies the development of structured modern apps, scales from small scripts to large applications, and can be compiled to JavaScript for use in any modern browser. In this rigorous but readable introductory text, Dart specification lead Gilad Bracha fully explains both the language and the ideas that have shaped it. The Dart Programming Language offers an authoritative description of Dart for programmers, computer science students, and other well-qualified professionals. The text illuminates key programming constructs with significant examples, focusing on principles of the language, such as optional typing and pure object-orientation. Bracha thoroughly explains reflection in Dart, showing how it is evolving into a form that programmers can easily apply without creating excessively large programs. He also shares valuable insights into Dart’s actor-style model for concurrency and asynchronous programming. Throughout, he covers both language semantics and the rationale for key features, helping you understand not just what Dart does, but why it works the way it does. You will learn about Dart’s object model, in which everything is an object, even numbers and Boolean values How Dart programs are organized into modular libraries How Dart functions are structured, stored in variables, passed as parameters, and returned as results Dart’s innovative approach to optional typing How Dart handles expressions and statements How to use Dart’s implementation of reflection to introspect on libraries, classes, functions, and objects Isolates and other Dart features that support concurrency and distribution Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.
Algorithms Unlocked
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Author : Thomas H. Cormen
language : en
Publisher: MIT Press
Release Date : 2013-03-01
Algorithms Unlocked written by Thomas H. Cormen and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-01 with Computers categories.
For anyone who has ever wondered how computers solve problems, an engagingly written guide for nonexperts to the basics of computer algorithms. Have you ever wondered how your GPS can find the fastest way to your destination, selecting one route from seemingly countless possibilities in mere seconds? How your credit card account number is protected when you make a purchase over the Internet? The answer is algorithms. And how do these mathematical formulations translate themselves into your GPS, your laptop, or your smart phone? This book offers an engagingly written guide to the basics of computer algorithms. In Algorithms Unlocked, Thomas Cormen—coauthor of the leading college textbook on the subject—provides a general explanation, with limited mathematics, of how algorithms enable computers to solve problems. Readers will learn what computer algorithms are, how to describe them, and how to evaluate them. They will discover simple ways to search for information in a computer; methods for rearranging information in a computer into a prescribed order (“sorting”); how to solve basic problems that can be modeled in a computer with a mathematical structure called a “graph” (useful for modeling road networks, dependencies among tasks, and financial relationships); how to solve problems that ask questions about strings of characters such as DNA structures; the basic principles behind cryptography; fundamentals of data compression; and even that there are some problems that no one has figured out how to solve on a computer in a reasonable amount of time.
Screencasting For Libraries
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Author : Greg R. Notess
language : en
Publisher: American Library Association
Release Date : 2012
Screencasting For Libraries written by Greg R. Notess and has been published by American Library Association this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
No.17 in The Tech Set. Create engaging library training with instructional videos that demonstrate how to use software, databases, search engines or even your OPAC.
Information And Communication Technology For Intelligent Systems
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Author : Tomonobu Senjyu
language : en
Publisher: Springer Nature
Release Date : 2020-10-29
Information And Communication Technology For Intelligent Systems written by Tomonobu Senjyu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-29 with Technology & Engineering categories.
This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Fourth International Conference on Information and Communication Technology for Intelligent Systems, which was held in Ahmedabad, India. Divided into two volumes, the book discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
Black Hat Go
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Author : Tom Steele
language : en
Publisher: No Starch Press
Release Date : 2020-01-24
Black Hat Go written by Tom Steele and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-24 with Computers categories.
Like the best-selling Black Hat Python, Black Hat Go explores the darker side of the popular Go programming language. This collection of short scripts will help you test your systems, build and automate tools to fit your needs, and improve your offensive security skillset. Black Hat Go explores the darker side of Go, the popular programming language revered by hackers for its simplicity, efficiency, and reliability. It provides an arsenal of practical tactics from the perspective of security practitioners and hackers to help you test your systems, build and automate tools to fit your needs, and improve your offensive security skillset, all using the power of Go. You'll begin your journey with a basic overview of Go's syntax and philosophy and then start to explore examples that you can leverage for tool development, including common network protocols like HTTP, DNS, and SMB. You'll then dig into various tactics and problems that penetration testers encounter, addressing things like data pilfering, packet sniffing, and exploit development. You'll create dynamic, pluggable tools before diving into cryptography, attacking Microsoft Windows, and implementing steganography. You'll learn how to: Make performant tools that can be used for your own security projects Create usable tools that interact with remote APIs Scrape arbitrary HTML data Use Go's standard package, net/http, for building HTTP servers Write your own DNS server and proxy Use DNS tunneling to establish a C2 channel out of a restrictive network Create a vulnerability fuzzer to discover an application's security weaknesses Use plug-ins and extensions to future-proof productsBuild an RC2 symmetric-key brute-forcer Implant data within a Portable Network Graphics (PNG) image. Are you ready to add to your arsenal of security tools? Then let's Go!
Computational Intelligence In Pattern Recognition
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Author : Asit Kumar Das
language : en
Publisher: Springer Nature
Release Date : 2021-09-04
Computational Intelligence In Pattern Recognition written by Asit Kumar Das and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-04 with Technology & Engineering categories.
This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 – 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.