Matt Harrison

"Learn the Pandas library. Ideal for programmers, data scientists, and engineers, this book provides real-life examples and best-practices for using the Pandas library."--Back cover

Patterns for Data Manipulation

Effective Pandas

Michael Kennedy

PyCharm is a powerful editor for Python, but it is more than just Python. It is an IDE that supports databases, web development, and data science. Effective PyCharm will walk you through how to learn the tools, and explore many of the features. You will learn the in's and out's of PyCharm and immediately improve your productivity.

Learn the PyCharm IDE with a Hands-on Approach

Effective PyCharm

Introducing Your Guide to Learning PythonIllustrated Guide to Learning Python is designed to bring developers and others who are anxious to learn Python up to speed quickly. Not only does it teach the basics of syntax, but it condenses years of experience. You will learn warts, gotchas, best practices and hints that have been gleaned through the years in days. You will hit the ground running and running in the right way.Learn Python QuicklyPython is an incredible language. It is powerful and applicable in many areas. It is used for automation of simple or complex tasks, numerical processing, web development, interactive games and more. Whether you are a programmer coming to Python from another language, managing Python programmers or wanting to learn to program, it makes sense to cut to the chase and learn Python the right way. You could scour blogs, websites and much longer tomes if you have time. Treading on Python lets you learn the hints and tips to be Pythonic quickly.Packed with Useful Hints and TipsYou'll learn the best practices without wasting time searching or trying to force Python to be like other languages. I've collected all the gems I've gleaned over years of writing and teaching Python for you.A No Nonsense Guide to Mastering Basic PythonPython is a programming language that lets you work more quickly and integrate your systems more effectively. You can learn to use Python and see almost immediate gains in productivity and lower maintenance costs.What you will learn: Distilled best practices and tips How interpreted languages work Using basic types such as Strings, Integers, and Floats Best practices for using the interpreter during development The difference between mutable and immutable data Sets, Lists, and Dictionaries, and when to use each Gathering keyboard input How to define a class Looping constructs Handling Exceptions in code Slicing sequences Creating modular code Using libraries Laying out code Community prescribed conventions

A Complete Walkthrough of Beginning Python With Unique Illustrations Showing How Python Really Works. Now Covering Python 3.6

Illustrated Guide to Python 3

Treading on Python is designed to bring developers and others who are anxious to learn Python up to speed quickly. Not only does it teach the basics of syntax, but it condenses years of experience. You will learn warts, gotchas, best practices and hints that have been gleaned through the years in days. You will hit the ground running and running in the right way.

Foundations of Python

Treading on Python Volume 1

Do you want to take your Python to the next level? Python is easy to learn. You can learn the basics in a day and be productive with it. But there are more advanced constructs that you will eventually run across if you spend enough time with it. Don't be confused by these. Learn them, embrace them, and improve your code and others.

Intermediate Python

Treading on Python Volume 2

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines

Working with Structured Data in Python

Machine Learning Pocket Reference

Summary Hapi.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. Foreword by Eran Hammer. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology 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? About the Book 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 validation, testing, authentication, and deployment. Throughout, you'll learn how to build rock-solid, secure, and fast applications. What's Inside Best practices for Node application design Building APIs with hapi Maintaining and scaling applications Extending hapi with plugins About the Reader This book assumes you have strong JavaScript skills. Experience with Node.js is helpful but not required. About the Author Matt Harrison is a core contributor to hapi.js and an active member of the Node community. Table of Contents PART 1 - FIRST STEPS Introducing hapi Building an API Building a website PART 2 - EXPANDING YOUR TOOLBOX Routes and handlers in-depth Understanding requests and responses Validation with Joi Building modular applications with plugins Cache me if you can PART 3 - CREATING ROCK-SOLID APPS Authentication and security Testing with Lab, Code, and server.inject() Production and beyond

Matt Harrison

Books

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