Distributed Machine Learning with PythonReducing time cost in machine learning leads to a shorter waiting time for model training and a faster model updating cycle. Distributed machine learning enables machine learning practitioners to shorten model training and inference time by orders of magnitude. With the help of this practical guide, you'll be able to put your Python development knowledge to work to get up and running with the implementation of distributed machine learning, including multi-node machine learning systems, in no time. You'll begin by exploring how distributed systems work in the machine learning area and how distributed machine learning is applied to state-of-the-art deep learning models. As you advance, you'll see how to use distributed systems to enhance machine learning model training and serving speed. You'll also get to grips with applying data parallel and model parallel approaches before optimizing the in-parallel model training and serving pipeline in local clusters or cloud environments. By the en ...
Natural Language Processing with PythonThis book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies ranging from predictive text and email filtering to automatic summarization and translation. You'll learn how to write Python programs to analyze the structure and meaning of texts, drawing on techniques from the fields of linguistics and artificial intelligence. ...
Introduction to TornadoWalk through the basics of Tornado, the high-performance web server known for its speed, simplicity, and scalability on projects large and small. With this hands-on guide, you'll learn how to use Tornado's acclaimed features by working with several example applications. You also get best practices for using Tornado in the real world.
Are you interested in creating a scalable social application, real-time analytics engine, or RESTful API - all with the power and simplicity of Python? This book shows you why Tornado is fantastic choice for writing powerful applications that are simple to create, extend, and deploy. ...
Beginning PythonAs an open source, object-oriented programming language, Python is easy to understand, extendable, and user-friendly. This book covers every aspect of Python so that you can get started writing your own programs with Python today. Author James Payne begins with the most basic concepts of the Python language - placing a special focus on the 2.6 and 3.1 versions - and he offers an in-depth look at existing Python programs so you can learn by example. Topics progress from strings, lists, and dictionaries to classes, objects, and modules. With this book, you will learn how to quickly and confidently create a robust, reliable, and reusable Python application. ...
Python for KidsPython is a powerful, expressive programming language that's easy to learn and fun to use! But books about learning to program in Python can be kind of dull, gray, and boring, and that's no fun for anyone.
Python for Kids brings Python to life and brings you (and your parents) into the world of programming. The ever-patient Jason R. Briggs will guide you through the basics as you experiment with unique (and often hilarious) example programs that feature ravenous monsters, secret agents, thieving ravens, and more. New terms are defined; code is colored, dissected, and explained; and quirky, full-color illustrations keep things on the lighter side.
Chapters end with programming puzzles designed to stretch your brain and strengthen your understanding. By the end of the book you'll have programmed two complete games: a clone of the famous Pong and "Mr. Stick Man Races for the Exit" - a platform game with jumps, animation, and much more.
As you strike out on your programming adventure, y ...
Python Cookbook, 3rd EditionIf you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms.
Inside, you'll find complete recipes for more than a dozen topics, covering the core Python language as well as tasks common to a wide variety of application domains. Each recipe contains code samples you can use in your projects right away, along with a discussion about how and why the solution works. ...
MySQL for PythonPython is a dynamic programming language, which is completely enterprise ready, owing largely to the variety of support modules that are available to extend its capabilities. In order to build productive and feature-rich Python applications, we need to use MySQL for Python, a module that provides database support to our applications. Although you might be familiar with accessing data in MySQL, here you will learn how to access data through MySQL for Python efficiently and effectively.
This book demonstrates how to boost the productivity of your Python applications by integrating them with the MySQL database server, the world's most powerful open source database. It will teach you to access the data on your MySQL database server easily with Python's library for MySQL using a practical, hands-on approach. ...
Mastering Object-oriented PythonThis practical example-oriented guide will teach you advanced concepts of object-oriented programming in Python. This book will present detailed examples of almost all of the special method names that support creating classes that integrate seamlessly with Python's built-in features. It will show you how to use JSON, YAML, Pickle, CSV, XML, Shelve, and SQL to create persistent objects and transmit objects between processes. The book also covers logging, warnings, unit testing, configuration files, and how to work with the command line.
This book is broken into three major parts: Pythonic Classes via Special Methods; Persistence and Serialization; Testing, Debugging, Deploying, and Maintaining. The special methods are broken down into several focus areas: initialization, basics, attribute access, callables, contexts, containers, collections, numbers, and more advanced techniques such as decorators and mixin classes. ...
Python for Google App EngineGoogle App Engine is a key component of the Google Cloud Platform and one of the most comprehensive cloud services. Together with Python, the first programming language ever supported by the platform, Google App Engine favors rapid development, significantly contributing to the success of your projects.
This book will guide you through the Google Cloud Platform starting from the basics all the way through successfully designing, building, and running modern and scalable web applications in Python with Google App Engine. From authentication to data storage, and from asynchronous jobs to server push techniques, you will learn how to use services such as datastore, cloud storage, Cloud SQL, task queues and channels in a Python application based on web frameworks such as Webapp2 and Django. As the topics in this book are covered in a step-by-step fashion, you will get to grips with the information quickly and easily. ...
Flask Web DevelopmentTake full creative control of your web applications with Flask, the Python-based microframework. With this hands-on book, you'll learn Flask from the ground up by developing a complete social blogging application step-by-step. Author Miguel Grinberg walks you through the framework's core functionality, and shows you how to extend applications with advanced web techniques such as database migration and web service communication.
Rather than impose development guidelines as other frameworks do, Flask leaves the business of extensions up to you. If you have Python experience, this book shows you how to take advantage of that creative freedom. ...