Programowanie
Niezależnie czy dopiero rozpoczynacie swoją przygodę z programowaniem, czy jesteście już uznanymi na rynku profesjonalistami, to w kategorii Programowanie na pewno znajdziecie podręczniki, które pomogą Wam w przebiegu pracy, czy też w nauce podstaw programowania.
W książkach z tego działu zawarta jest wiedza zarówno związana z czysto technicznymi sprawami typu składnia języków, ale także z umiejętnościami bardziej "miękkimi" jak obsługa i wykorzystanie pełnych możliwości środowisk programistycznych, czy też projektowanie oprogramowania lub metody numeryczne czy oraz struktury danych.
Bear Bibeault, Yehuda Katz, Aurelio De Rosa
Lekka biblioteka jQuery znacząco ułatwia kodowanie w JavaScripcie. Dzięki niej programiści nie muszą już ręcznie zarządzać obsługą selektorów CSS czy nawigacją w modelu DOM, a praca nad animacjami stała się o wiele łatwiejsza. Co ważne, projekt ten wciąż się rozwija: w bibliotece jQuery 3 dodano kolejne funkcje, które sprawiły, że praca projektanta aplikacji internetowych stała się bezproblemowa i efektywna. Okazuje się, że wobec rosnącego znaczenia JavaScriptu w tworzeniu aplikacji internetowych umiejętność posługiwania się jQuery staje się bardzo ważnym atutem na rynku pracy. Jeśli znasz choćby podstawy JavaScriptu i chciałbyś możliwie szybko nabrać biegłości w posługiwaniu się jQuery, trzymasz w dłoni książkę dla siebie. Dzięki temu zwięzłemu przewodnikowi nauczysz się płynnie realizować zadania, które pojawiają się niemal zawsze podczas tworzenia aplikacji internetowych. Dowiesz się, jak nawigować w obrębie modelu DOM, obsługiwać zdarzenia, tworzyć dodatki do jQuery i żądania Ajax, a nawet przeprowadzać testy jednostkowe kodu. Oczywiście, nie zabrakło tu rzeczywistych przykładów kodu, ilustrujących każde omawiane zagadnienie. Ponadto niniejsze wydanie rozbudowano o rozdziały, w których omówiono współdziałanie jQuery z innymi narzędziami i środowiskami, a także budowę nowoczesnych aplikacji z jedną stroną w środowisku Backbone.js. Dzięki tej książce poznasz: budowę, przeznaczenie i zasady funkcjonowania biblioteki jQuery nowe praktyczne możliwości biblioteki jQuery 3 model DOM i obsługę zdarzeń sposoby tworzenia animacji i inne efekty związane z szatą graficzną aplikacji technologię Ajax i podstawy jej obsługi sposoby na testy jednostkowe i poprawę wydajności kodu Poznaj jQuery, korzystaj z tej biblioteki i ciesz się nią! Bear Bibeault — programuje od ponad trzydziestu lat. Uzyskał dwa stopnie naukowe z dziedziny elektrotechniki, jest też współautorem licznych książek dotyczących programowania. Yehuda Katz — od wielu lat angażuje się w projekty związane z oprogramowaniem open source. Jest jednym z pierwszych twórców biblioteki jQuery oraz współtwórcą środowiska Ember.js. Aurelio De Rosa — jest doświadczonym projektantem aplikacji internetowych i członkiem zespołu rozwijającego bibliotekę jQuery. Tworzy oprogramowanie internetowe z wykorzystaniem stosu WAMP oraz języków HTML5, CSS3, Sass, JavaScript i PHP.
JSF 2.0 Cookbook: LITE. Converters, Validators, and Security
Anghel Leonard
Practical, hands-on “Cookbook” approach. Full of clear, step-by-step instructions that you can apply straight away. Written for people who want to get maximum results without lots of background and theory reading. JSF developers who want to work with validators, converters and security features of JSF. You don’t need any prior knowledge of JSF to use these recipes.
Ivo Balbaert, Adrian Salceanu
Julia offers the high productivity and ease of use of Python and R with the lightning-fast speed of C++. There’s never been a better time to learn this language, thanks to its large-scale adoption across a wide range of domains, including fintech, biotech and artificial intelligence (AI).You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. This Learning Path walks you through two important collection types: arrays and matrices. You’ll be taken through how type conversions and promotions work, and in further chapters you'll study how Julia interacts with operating systems and other languages. You’ll also learn about the use of macros, what makes Julia suitable for numerical and scientific computing, and how to run external programs.Once you have grasped the basics, this Learning Path goes on to how to analyze the Iris dataset using DataFrames. While building a web scraper and a web app, you’ll explore the use of functions, methods, and multiple dispatches. In the final chapters, you'll delve into machine learning, where you'll build a book recommender system.By the end of this Learning Path, you’ll be well versed with Julia and have the skills you need to leverage its high speed and efficiency for your applications.This Learning Path includes content from the following Packt products:• Julia 1.0 Programming - Second Edition by Ivo Balbaert• Julia Programming Projects by Adrian Salceanu
Bogumił Kamiński, Przemysław Szufel
Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia.Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia.By the end of the book, you will have acquired the skills to work more effectively with your data
Ivo Balbaert
The release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you’ll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications.
Ivo Balbaert
The release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you’ll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications.
Julia Cookbook. Over 40 recipes to get you up and running with programming using Julia
Jalem Raj Rohit
Want to handle everything that Julia can throw at you and get the most of it every day? This practical guide to programming with Julia for performing numerical computation will make you more productive and able work with data more efficiently. The book starts with the main features of Julia to help you quickly refresh your knowledge of functions, modules, and arrays. We’ll also show you how to utilize the Julia language to identify, retrieve, and transform data sets so you can perform data analysis and data manipulation.Later on, you’ll see how to optimize data science programs with parallel computing and memory allocation. You’ll get familiar with the concepts of package development and networking to solve numerical problems using the Julia platform.This book includes recipes on identifying and classifying data science problems, data modelling, data analysis, data manipulation, meta-programming, multidimensional arrays, and parallel computing. By the end of the book, you will acquire the skills to work more effectively with your data.
Julia High Performance. Design and develop high performing programs with Julia
Avik Sengupta
Julia is a high performance, high-level dynamic language designed to address the requirements of high-level numerical and scientific computing. Julia brings solutions to the complexities faced by developers while developing elegant and high performing code. Julia High Performance will take you on a journey to understand the performance characteristics of your Julia programs, and enables you to utilize the promise of near C levels of performance in Julia.You will learn to analyze and measure the performance of Julia code, understand how to avoid bottlenecks, and design your program for the highest possible performance. In this book, you will also see how Julia uses type information to achieve its performance goals, and how to use multuple dispatch to help the compiler to emit high performance machine code. Numbers and their arrays are obviously the key structures in scientific computing – you will see how Julia’s design makes them fast. The last chapter will give you a taste of Julia’s distributed computing capabilities.
Julia: High Performance Programming. Build powerful and fast systems with Julia
Ivo Balbaert, M E Sherrington, Avik Sengupta
In this learning path, you will learn to use an interesting and dynamic programming language—Julia! You will get a chance to tackle your numerical and data problems with Julia. You’ll begin the journey by setting up a running Julia platform before exploring its various built-in types. We’ll then move on to the various functions and constructs in Julia. We’ll walk through the two important collection types—arrays and matrices in Julia.You will dive into how Julia uses type information to achieve its performance goals, and how to use multiple dispatch to help the compiler emit high performance machine code. You will see how Julia’s design makes code fast, and you’ll see its distributed computing capabilities.By the end of this learning path, you will see how data works using simple statistics and analytics, and you’ll discover its high and dynamic performance—its real strength, which makes it particularly useful in highly intensive computing tasks. This learning path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Getting Started with Julia by Ivo Balvaert? Julia High Performance by Avik Sengupta? Mastering Julia by Malcolm Sherrington