Python for TeenagersDiscover everything you need to know about Python to turn your passion of programming into a job you'll love. Fueled by fun and practical examples, this book gives high schoolers who want learn an easy programming language ideas for how to leverage them in the workforce.
Start with the basics and before you know it, you'll be building your own web sites, doing white-hat hacking, finding code bugs and errors, and creating games, including using Python to roll characters for RPGs. Every chapter is relaxed and informal, like learning with a cool teacher all the time.
Computers, phones and the web are your playground, and you'll be ready to join the party with your own content. Going beyond posts and uploads means learning to program, and Python is a great choice to get started. It's quick to learn, it's flexible, and if you want, it may get you a Python job that pays more than minimum wage when you're out of school. Python for Teenagers is the most fun you'll have while learning. ...
Pro MERN Stack, 2nd EditionAssemble the complete stack required to build a modern web app using MongoDB, Express, React, and Node. This book also covers many other complementary tools: React Router, GraphQL, React-Bootstrap, Babel, and Webpack. This new edition will use the latest version of React (React 16) and the latest React Router (React Router 4), which has a significantly different approach to routing compared to React Router 2 which was used in the first edition of the book.
Though the primary focus of Pro MERN Stack is to equip you with all that is required to build a full-fledged web application, a large portion of the book will be devoted to React 16. The popular MEAN (MongoDB, Express, AngularJS, Node) stack introduced Single Page Apps (SPAs) and front-end Model-View-Controller (MVC) as new and efficient paradigms.
Facebook's React is a technology that competes indirectly with AngularJS. It is not a full-fledged MVC framework. It is a JavaScript library for building user interfaces (in some se ...
PyTorch Deep Learning Hands-OnPyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide to doing deep learning work with PyTorch. It is not an academic textbook and does not try to teach deep learning principles. The book will help you most if you want to get your hands dirty and put PyTorch to work quickly.
PyTorch Deep Learning Hands-On shows how to implement the major deep learning architectures in PyTorch. It covers neural networks, computer vision, CNNs, natural language processing (RNN), GANs, and reinforcement learning. You will also build deep learning workflows with the PyTorch framework, migrate models built in Python to highly efficient TorchScript, and deploy to production using the most sophisticated available tools.
Each chapter focuses on a different area of deep learning. Chapters start with a refresher on how the model works, before sharing the code you need to implement it in PyTorch.
This book is ideal if you want to rapidly add PyTorch to your deep learning tool ...
Machine Learning for FinanceMachine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including insurance, transactions, and lending. This book explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself.
The book is based on Jannes Klaas experience of running machine learning training courses for financial professionals. Rather than providing ready-made financial algorithms, the book focuses on advanced machine learning concepts and ideas that can be applied in a wide variety of ways.
The book systematically explains how machine learning works on structured data, text, images, and time series. You'll cover generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. Later chapters will discuss how to fight bias in machine learning. The book ends with an exploration of Bayesian inference and prob ...
hapi.js in ActionHapi.js in Action teaches you how to build modern Node-driven applications using hapi.js. Packed with examples, this book takes you from your first simple server through the skills you'll need to build a complete application.
The hapi.js web framework for Node.js is built around three radical ideas. Developer productivity: hapi's intuitive setup gets you up and running in no time. Maintainability: hapi's modular design allows for easy scaling and improvement. Flexibility: hapi has a lightweight core that you can expand and customize with plugins. Are you ready to get hapi?
Hapi.js in Action is an incredibly practical book that teaches you to build APIs, servers, and applications using Node.js and the hapi.js framework. You'll begin with an easy-to-follow mental model of a Node.js web application and see exactly where hapi fits into the picture. Then, you'll walk through building an API and composing it into a web application. Along the way, you'll explore key topics like validati ...
The Design of Web APIsThe Design of Web APIs is a practical, example-packed guide to crafting extraordinary web APIs. Author Arnaud Lauret demonstrates fantastic design principles and techniques you can apply to both public and private web APIs.
An API frees developers to integrate with an application without knowing its code-level details. Whether you're using established standards like REST and OpenAPI or more recent approaches like GraphQL or gRPC, mastering API design is a superskill. It will make your web-facing services easier to consume and your clients - internal and external - happier.
Drawing on author Arnaud Lauret's many years of API design experience, this book teaches you how to gather requirements, how to balance business and technical goals, and how to adopt a consumer-first mindset. It teaches effective practices using numerous interesting examples. ...
Data Science with Python and DaskDask is a native parallel analytics tool designed to integrate seamlessly with the libraries you're already using, including Pandas, NumPy, and Scikit-Learn. With Dask you can crunch and work with huge datasets, using the tools you already have. And Data Science with Python and Dask is your guide to using Dask for your data projects without changing the way you work!
An efficient data pipeline means everything for the success of a data science project. Dask is a flexible library for parallel computing in Python that makes it easy to build intuitive workflows for ingesting and analyzing large, distributed datasets. Dask provides dynamic task scheduling and parallel collections that extend the functionality of NumPy, Pandas, and Scikit-learn, enabling users to scale their code from a single laptop to a cluster of hundreds of machines with ease.
Data Science with Python and Dask teaches you to build scalable projects that can handle massive datasets. After meeting the Dask framework ...
Text Analytics with Python, 2nd EditionLeverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP.
You'll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well.
Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conferenc ...
Clean PythonDiscover the right way to code in Python. This book provides the tips and techniques you need to produce cleaner, error-free, and eloquent Python projects.
Your journey to better code starts with understanding the importance of formatting and documenting your code for maximum readability, utilizing built-in data structures and Python dictionary for improved maintainability, and working with modules and meta-classes to effectively organize your code. You will then dive deep into the new features of the Python language and learn how to effectively utilize them. Next, you will decode key concepts such as asynchronous programming, Python data types, type hinting, and path handling. Learn tips to debug and conduct unit and integration tests in your Python code to ensure your code is ready for production. The final leg of your learning journey equips you with essential tools for version management, managing live code, and intelligent code completion.
After reading and using this book, ...
Python, PyGame, and Raspberry Pi Game DevelopmentExpand your basic knowledge of Python and use PyGame to create fast-paced video games with great graphics and sounds. This second edition shows how you can integrate electronic components with your games using the build-in general purpose input/output (GPIO) pins and some Python code to create two new games.
You'll learn about object-oriented programming (OOP) as well as design patterns, such as model-view-controller (MVC) and finite-state machines (FSMs). Whether using Windows, macOS, Linux, or a Raspberry Pi, you can unleash the power of Python and PyGame to create great looking games.
The book also includes complete code listings and explanations for Bricks, Snake, and Invaders - three fully working games. These allow you to get started in making your own great games and then modify them or build your own exciting titles. The concepts are further explained using games such as Copycat, where the player must concentrate and repeat the sequence of lights and sounds, and Couch Q ...