Programming and scripting languages: general

No detailed description available for "e;Building AI Intensive Python Applications"e;.

Perfectly intelligent programmers often struggle when forced to work with SQL.

Whereas Volume 1 introduced the NetLogo platform as a means of prototyping simple models, this second volume focuses on the advanced use of NetLogo to connect both data and theories, making it ideal for the majority of scientific communities.

Although recognized as a key to the design process, prototyping often falls victim to budget cuts, deadlines, or lack of access to sophisticated tools.

The Definitive Guide to C# From using LINQ to covariance and from string formatting to optional arguments, Herb s update covers all you need to know about using real-world C# 4.

There's no easier, faster, or more practical way to learn the really tough subjectsVisual Basic 2005 Demystified fully explains the language and its libraries and applications.

El Manual de PHP es una guía para principiantes que permite desarrollar aplicaciones web en corto tiempo.

Este libro ha sido pensado para todos aquellos que estén interesados en conocer el lenguaje de programación Java, en él encontrara: aspectos básicos, estructuras de control, arreglos, métodos, manipulación de cadenas de caracteres, interfaz gráfica de usuario, gráficos, programación orientada a objetos, manejo de excepciones, hilos, archivos, trabajo con redes y bases de datos.

The Essential Guide to SQL Statement OptimizationWritten by Oracle ACE Director and MySQL expert Ronald Bradford, Effective MySQL: Optimizing SQL Statements is filled with detailed explanations and practical examples that can be applied immediately to improve database and application performances.

Create and distribute data-connected Microsoft Office Visio diagrams and reportsGet full details on the powerful features of Microsoft Office Visio 2007 inside this comprehensive volume.

Essential Skills--Made Easy!

Published in 1996, Richard Jones's Garbage Collection was a milestone in the area of automatic memory management.

Awk was developed in 1977 at Bell Labs, and it's still a remarkably useful tool for solving a wide variety of problems quickly and efficiently.

A Practical Guide to Better, Cleaner Code with Functional Programming In Functional Design, renowned software engineer Robert C.

An updated guide to programming your own Raspberry Pi projectsLearn to create inventive programs and fun games on your powerful Raspberry Pi with no programming experience required.

Go beyond the basics with this up to date Arduino programming resourceTake your Arduino programming skills to the next level using the hands-on information contained in this thoroughly revised, easy to follow TAB guide.

Learn To Easily Create Robotic, IoT, and Wearable Electronic Gadgets!

Learn how to use the classes, algorithms, and other programming constructs of C++ STL.

Learn the value that OpenTelemetry can bring to organizations that aim to implement observability best practices, and gain a deeper understanding of how different building blocks interact with each other to bring out-of-the-box, vendor-neutral instrumentation to your stack.

Software Development with C++: Maximizing Reuse with Object Technology is about software development and object-oriented technology (OT), with applications implemented in C++.

Learn to write algorithms and program in the new field of quantum computing.

Quickly find solutions to dozens of common programming problems encountered while building Java applications, with recipes presented in the popular problem-solution format.

Master Advanced Business Application Programming (ABAP) Development Tools by installing, customizing, and using them in Eclipse.

Learn the C programming language easily and in a straightforward way.

Explore the world of programming languages through Python and learn the building blocks of writing programs.

Quickly learn to program for microcontrollers and IoT devices without a lot of study and expense.

Get an easy introduction to reactive streams in Java to handle concurrency, data streams, and the propagation of change in today's applications.

Move from zero knowledge of programming to comfortably writing small to medium-sized programs in Python.

Imagine you are a business user, consultant, or developer about to enter an SAP S/4HANA implementation project.

Learn the principles of good software design, and how to turn those principles into great code.

Build Android apps and learn the essentials of the popular Kotlin programming language and APIs.

Review the fundamental constructs in C# using Q&As and program segments to boost your confidence and gain expertise.

Build an online messaging app using Java Servlets, JSP, Expression Language, JSTL, JPQL, Sessions/Cookies, HTML/CSS/JavaScript, and the Bootstrap framework.

Closely examine website scraping and data processing: the technique of extracting data from websites in a format suitable for further analysis.

Get started with using the new Java MVC 1.

Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python.

Understand and write programs in Go, a multi-paradigm language with built-in features for concurrent programming.

Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach.

Get started using Python in data analysis with this compact practical guide.

Apply decoupling patterns, properly test a decoupled project, and integrate a Django API with React, and Vue.

Know how to do machine learning with Microsoft technologies.

Deploy, manage, and secure containers and containerized applications on Google Cloud Platform (GCP).

Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit.

Learn to use the Jakarta Persistence API and other related APIs as found in the Jakarta EE 10 platform from the perspective of one of the specification creators.

Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation.

Learn the key differences between containers and virtual machines.

Discover the art and science of solving artificial intelligence problems with Python using optimization modeling.

Gain all the essentials you need to create scalable microservices, which will help you solve real challenges when deploying services into production.

Discover clean ways to write code that will run on both Python 2 and 3.

Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables.