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Python for Dummies
Python for Dummies Sented by Christopher

Python is one of the most powerful, easy-to-read programming languages around, but it does have its limitations. This general purpose, high-level language that can be extended and embedded is a smart option for many programming problems, but a poor solution to others.

Python for Data Mining Quick Syntax Reference

​Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis.

Python Descriptors: Understanding and Using the Descriptor Protocol

Create descriptors and see ideas and examples of how to use descriptors effectively. In this short book, you’ll explore descriptors in general, with a deep explanation of what descriptors are, how they work, and how they're used. Once you understand the simplicity of the descriptor protocol, the author delves into using and creating descriptors in practice, with plenty of tips, patterns, and real-world guidance. Because descriptors are inherently flexible, you’ll work with multiple examples illustrating how to best take advantage of them.

Python Data Analytics: With Pandas, NumPy, and Matplotlib

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn.

Python Continuous Integration and Delivery: A Concise Guide with Examples

Gain the techniques and tools that enable a smooth and efficient software development process in this quick and practical guide on Python continuous integration (CI) and continuous delivery (CD). Based on example applications, this book introduces various kinds of testing and shows you how to set up automated systems that run these tests, and install applications in different environments in controlled ways. Python Continuous Integration and Delivery tackles the technical problems related to software development that are typically glossed over in pure programming texts.

Pro Spring 5: An In-Depth Guide to the Spring Framework and Its Tools

Master Spring basics and core topics, and share the authors’ insights and real–world experiences with remoting, Hibernate, and EJB. Beyond the basics, you'll learn how to leverage the Spring Framework to build the various tiers and parts of an enterprise Java application: transactions, web and presentation tiers, deployment, and much more. A full sample application allows you to apply many of the technologies and techniques covered in Pro Spring 5 and see how they work together.

20 Python Libraries You Aren't Using (But Should)

The Python ecosystem is vast and far-reaching in both scope and depth. Starting out in this crazy, open-source forest is daunting, and even with years of experience, it still requires continual effort to keep up-to-date with the best libraries and techniques. This report helps you explore some of the lesser known Python libraries and tools, including third-party modules and several extremely useful tools in the standard library that deserve more attention.

Programming with Python
Programming with Python Sented by Daniel

Based on the latest version of the language, this book offers a self-contained, concise and coherent introduction to programming with Python. The book’s primary focus is on realistic case study applications of Python. Each practical example is accompanied by a brief explanation of the problem-terminology and concepts, followed by necessary program development in Python using its constructs, and simulated testing.

Pro Python Best Practices: Debugging, Testing and Maintenance

Learn software engineering and coding best practices to write Python code right and error free. In this book you’ll see how to properly debug, organize, test, and maintain your code, all of which leads to better, more efficient coding.

Practical JSF in Java EE 8
Practical JSF in Java EE 8 Sented by Daniel

Master the Java EE 8 and JSF (JavaServer Faces) APIs and web framework with this practical, projects-driven guide to web development. This book combines theoretical background with a practical approach by building four real-world applications. By developing these JSF web applications, you'll take a tour through the other Java EE technologies such as JPA, CDI, Security, WebSockets, and more.

Practical Python AI Projects: Mathematical Models of Optimization Problems with Google OR-Tools

Discover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models, and pure linear integer models. Rather than focus on theory, Practical Python AI Projects, the product of the author's decades of industry teaching and consulting, stresses the model creation aspect; contrasting alternate approaches and practical variations.

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more.

Java Servlet & JSP Cookbook
Java Servlet & JSP Cookbook Sented by Cameron

With literally hundreds of examples and thousands of lines of code, the Java Servlet and Jsp Cookbook yields tips and techniques that any Java web developer who uses JavaServer Pages or servlets will use every day, along with full-fledged solutions to significant web application development problems that developers can insert directly into their own applications. Java Servlet and Jsp Cookbook presents real-world problems, and provides concise, practical solutions to each. Finding even one tested code "recipe" that solves a gnarly problem in this comprehensive collection of solutions and best practices will save hours of frustration-easily justifying the cost of this invaluable book.

Java Cookbook, Second Edition

You have a choice: you can wade your way through lengthy Java tutorials and figure things out by trial and error, or you can pick up Java Cookbook, 2nd Edition and get to the heart of what you need to know when you need to know it.With the completely revised and thoroughly updated Java Cookbook, 2nd Edition, Java developers like you will learn by example, try out new features, and use sample code to understand how new additions to the language and platform work--and how to put them to work for you.

Neural Network Programming with Java

Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition Explore the Java multi-platform feature to run your personal neural networks everywhere This step-by-step guide will help you solve real-world problems and links neural network theory to their application

Maven Build Customization
Maven Build Customization Sented by Rebecca

About This Book Administer complex projects customizing the Maven framework and improving the software lifecycle of your organization with “Maven friend technologies” Automate your delivery process and make it fast and easy An easy-to-follow tutorial on Maven customization and integration with a real project and practical examples

Natural Language Processing with Java and LingPipe Cookbook

Over 60 effective recipes to develop your Natural Language Processing (NLP) skills quickly and effectively About This Book Build effective natural language processing applications Transit from ad-hoc methods to advanced machine learning techniques Use advanced techniques such as logistic regression, conditional random fields, and latent Dirichlet allocation

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