Django RESTful Web Services. The easiest way to build Python RESTful APIs and web services with Django

Gaston C. Hillar

Django is a Python web framework that makes the web development process very easy. It reduces the amount of trivial code, which simplifies the creation of web applications and results in faster development. It is very powerful and a great choice for creating RESTful web services.If you are a Python developer and want to efficiently create RESTful web services with Django for your apps, then this is the right book for you.The book starts off by showing you how to install and configure the environment, required software, and tools to create RESTful web services with Django and the Django REST framework. We then move on to working with advanced serialization and migrations to interact with SQLite and non-SQL data sources. We will use the features included in the Django REST framework to improve our simple web service.Further, we will create API views to process diverse HTTP requests on objects, go through relationships and hyperlinked API management, and then discover the necessary steps to include security and permissions related to data models and APIs. We will also apply throttling rules and run tests to check that versioning works as expected. Next we will run automated tests to improve code coverage. By the end of the book, you will be able to build RESTful web services with Django.

Python Interviews. Discussions with Python Experts

Michael Driscoll, Kenneth Reitz

Each of these twenty Python Interviews can inspire and refresh your relationship with Python and the people who make Python what it is today. Let these interviews spark your own creativity, and discover how you also have the ability to make your mark on a thriving tech community. This book invites you to immerse in the Python landscape, and let these remarkable programmers show you how you too can connect and share with Python programmers around the world. Learn from their opinions, enjoy their stories, and use their tech tips.• Brett Cannon - former director of the PSF, Python core developer, led the migration to Python 3.• Steve Holden - tireless Python promoter and former chairman and director of the PSF.• Carol Willing - former director of the PSF and Python core developer, Project Jupyter Steering Council member.• Nick Coghlan - founding member of the PSF's Packaging Working Group and Python core developer.• Jessica McKellar - former director of the PSF and Python activist.• Marc-André Lemburg - Python core developer and founding member of the PSF.• Glyph Lefkowitz - founder of Twisted and fellow of the PSF• Doug Hellmann - fellow of the PSF, creator of the Python Module of the Week blog, Python community member since 1998.• Massimo Di Pierro - fellow of the PSF, data scientist and the inventor of web2py. • Alex Martelli - fellow of the PSF and co-author of Python in a Nutshell.• Barry Warsaw - fellow of the PSF, Python core developer since 1995, and original member of PythonLabs.• Tarek Ziadé - founder of Afpy and author of Expert Python Programming.• Sebastian Raschka - data scientist and author of Python Machine Learning.• Wesley Chun - fellow of the PSF and author of the Core Python Programming books.• Steven Lott - Python blogger and author of Python for Secret Agents.• Oliver Schoenborn - author of Pypubsub and wxPython mailing list contributor.• Al Sweigart - bestselling author of Automate the Boring Stuff with Python and creator of the Python modules Pyperclip and PyAutoGUI.• Luciano Ramalho - fellow of the PSF and the author of Fluent Python.• Mike Bayer - fellow of the PSF, creator of open source libraries including SQLAlchemy.• Jake Vanderplas - data scientist and author of Python Data Science Handbook.

R Data Mining. Implement data mining techniques through practical use cases and real-world datasets

Andrea Cirillo

R is widely used to leverage data mining techniques across many different industries, including finance, medicine, scientific research, and more. This book will empower you to produce and present impressive analyses from data, by selecting and implementing the appropriate data mining techniques in R.It will let you gain these powerful skills while immersing in a one of a kind data mining crime case, where you will be requested to help resolving a real fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques. While moving along the plot of the story you will effectively learn and practice on real data the various R packages commonly employed for this kind of tasks. You will also get the chance of apply some of the most popular and effective data mining models and algos, from the basic multiple linear regression to the most advanced Support Vector Machines. Unlike other data mining learning instruments, this book will effectively expose you the theory behind these models, their relevant assumptions and when they can be applied to the data you are facing. By the end of the book you will hold a new and powerful toolbox of instruments, exactly knowing when and how to employ each of them to solve your data mining problems and get the most out of your data.Finally, to let you maximize the exposure to the concepts described and the learning process, the book comes packed with a reproducible bundle of commented R scripts and a practical set of data mining models cheat sheets.

Getting Started with Gulp. Automating web development workflows - Second Edition

Travis Maynard

This book is a hands-on guide to get you up to speed with gulp. You will quickly learn how to install, configure, and run your own build system. It will instill you with the ability to automate several common development tasks to vastly improve your development workflow. This book first demonstrates various Gulp use cases before running through the steps of configuring, running, and customizing Gulp, providing you with core concepts of gulp, node.js, and npm. Diving a bit deeper into the gulp ecosystem, we will discuss when and why to use a node module instead of a gulp plugin. We will also go over a few issues that we can run into while using gulp and learn about ways to work around them to improve your gulp experience.By the end of this book, you will be able to create your very own gulp build from scratch, create and maintain tasks and project builds, and automate your workflow with plugins and custom tasks.

Mastering Proxmox. Build virtualized environments using the Proxmox VE hypervisor - Third Edition

Wasim Ahmed

Proxmox is an open source server virtualization solution that has enterprise-class features for managing virtual machines, for storage, and to virtualize both Linux and Windows application workloads.You'll begin with a refresher on the advanced installation features and the Proxmox GUI to familiarize yourself with the Proxmox VE hypervisor. Then, you'll move on to explore Proxmox under the hood, focusing on storage systems, such as Ceph, used with Proxmox. Moving on, you'll learn to manage KVM virtual machines, deploy Linux containers fast, and see how networking is handled in Proxmox. You'll also learn how to protect a cluster or a VM with a firewall and explore the new high availability features introduced in Proxmox VE 5.0. Next, you'll dive deeper into the backup/restore strategy and see how to properly update and upgrade a Proxmox node. Later, you'll learn how to monitor a Proxmox cluster and all of its components using Zabbix. Finally, you'll discover how to recover Promox from disaster strikes through some real-world examples. By the end of the book, you'll be an expert at making Proxmox work in production environments with minimal downtime.

Bash Quick Start Guide. Get up and running with shell scripting with Bash

Tom Ryder

Bash and shell script programming is central to using Linux, but it has many peculiar properties that are hard to understand and unfamiliar to many programmers, with a lot of misleading and even risky information online. Bash Quick Start Guide tackles these problems head on, and shows you the best practices of shell script programming. This book teaches effective shell script programming with Bash, and is ideal for people who may have used its command line but never really learned it in depth. This book will show you how even simple programming constructs in the shell can speed up and automate any kind of daily command-line work.For people who need to use the command line regularly in their daily work, this book provides practical advice for using the command-line shell beyond merely typing or copy-pasting commands into the shell. Readers will learn techniques suitable for automating processes and controlling processes, on both servers and workstations, whether for single command lines or long and complex scripts. The book even includes information on configuring your own shell environment to suit your workflow, and provides a running start for interpreting Bash scripts written by others.

Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem

Ankur Ankan, Abinash Panda

Hidden Markov Model (HMM) is a statistical model based on the Markov chain concept. Hands-On Markov Models with Python helps you get to grips with HMMs and different inference algorithms by working on real-world problems. The hands-on examples explored in the book help you simplify the process flow in machine learning by using Markov model concepts, thereby making it accessible to everyone.Once you’ve covered the basic concepts of Markov chains, you’ll get insights into Markov processes, models, and types with the help of practical examples. After grasping these fundamentals, you’ll move on to learning about the different algorithms used in inferences and applying them in state and parameter inference. In addition to this, you’ll explore the Bayesian approach of inference and learn how to apply it in HMMs.In further chapters, you’ll discover how to use HMMs in time series analysis and natural language processing (NLP) using Python. You’ll also learn to apply HMM to image processing using 2D-HMM to segment images. Finally, you’ll understand how to apply HMM for reinforcement learning (RL) with the help of Q-Learning, and use this technique for single-stock and multi-stock algorithmic trading.By the end of this book, you will have grasped how to build your own Markov and hidden Markov models on complex datasets in order to apply them to projects.

Spring Boot 2.0 Projects. Build production-grade reactive applications and microservices with Spring Boot

Mohamed Shazin Sadakath

Spring Boot is a lightweight framework that provides a set of tools to create production-grade applications and services. Spring Boot 2.0 Projects is a comprehensive project-based guide for those who are new to Spring, that will get you up to speed with building real-world projects. Complete with clear step-by-step instructions, these easy-to-follow tutorials demonstrate best practices and key insights into building efficient applications with Spring Boot. The book starts off by teaching you how to develop a web application using Spring Boot, followed by giving you an understanding of creating a Spring Boot-based simple blog management system that uses Elasticsearch as the data store. Next, you’ll build a RESTful web services application using Kotlin and the Spring WebFlux framework - a new framework that enables you to create reactive applications in a functional way. Toward the last few chapters, you will build a taxi-hailing API with reactive microservices using Spring Boot, in addition to developing a Twitter clone with the help of a Spring Boot backend. To build on your knowledge further, you’ll also learn how to construct an asynchronous email formatter.By the end of this book, you’ll have a firm foundation in Spring programming and understand how to build powerful, engaging applications in Java using the Spring Boot framework.