Table of Contents
Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time.
In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders–inspired arcade game, data visualizations with Python’s super-handy libraries, and a simple web app you can deploy online.
As you work through Python Crash Course you’ll learn how to:
–Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal
–Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses
–Work with data to generate interactive visualizations
–Create and customize Web apps and deploy them safely online
–Deal with mistakes and errors so you can solve your own programming problems
If you’ve been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code!
In Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Once you’ve mastered the basics of programming, you’ll create Python programs that effortlessly perform useful and impressive feats of automation to:
–Search for text in a file or across multiple files
–Create, update, move, and rename files and folders
–Search the Web and download online content
–Update and format data in Excel spreadsheets of any size
–Split, merge, watermark, and encrypt PDFs
–Send reminder emails and text notifications
–Fill out online forms
Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.
Don’t spend your time doing work a well-trained monkey could do. Even if you’ve never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python.
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.
Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.
This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters.
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates.
Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You’ll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning.
Since Don’t Make Me Think was first published in 2000, hundreds of thousands of Web designers and developers have relied on usability guru Steve Krug’s guide to help them understand the principles of intuitive navigation and information design. Witty, commonsensical, and eminently practical, it’s one of the best-loved and most recommended books on the subject. Now Steve returns with fresh perspective to reexamine the principles that made Don’t Make Me Think a classic–with updated examples and a new chapter on mobile usability. And it’s still short, profusely illustrated…and best of all–fun to read. If you’ve read it before, you’ll rediscover what made Don’t Make Me Think so essential to Web designers and developers around the world. If you’ve never read it, you’ll see why so many people have said it should be required reading for anyone working on Web sites. “After reading it over a couple of hours and putting its ideas to work for the past five years, I can say it has done more to improve my abilities as a Web designer than any other book.”–Jeffrey Zeldman, author of Designing with Web Standards
The Lean UX approach to interaction design is tailor-made for today’s web-driven reality. In this insightful book, leading advocate Jeff Gothelf teaches you valuable Lean UX principles, tactics, and techniques from the ground up—how to rapidly experiment with design ideas, validate them with real users, and continually adjust your design based on what you learn.
Inspired by Lean and Agile development theories, Lean UX lets you focus on the actual experience being designed, rather than deliverables. This book shows you how to collaborate closely with other members of the product team, and gather feedback early and often. You’ll learn how to drive the design in short, iterative cycles to assess what works best for the business and the user. Lean UX shows you how to make this change—for the better.
When asked to talk to students at Broome Community College in upstate New York in the spring of 2011, Austin Kleon wrote a simple list often things he wished he'd heard when he was their age: 'Steal like an artist; Don't wait until you know who you are to start making things; Write the book you want to read; Use your hands; Side projects are important; Do good work and put it where people can see it; Geography is no longer our master; Be nice (the world is a small town.); Be boring (it's the only way to get work done.); and, Creativity is subtraction.' After giving the speech, he posted the text and slides to his popular blog, where it quickly went viral. Now Kleon has expanded his original manifesto into an illustrated guide to the creative life for writers, artists, entrepreneurs, designers, photographers, musicians, and anyone attempting to make things - art, a career, a life - in the digital age. Brief, direct, and visually interactive, the book includes illustrative anecdotes and mini-exercise sections calling out practical actions readers can take to unleash their own creative spirits.
Neural Networks and Learning Machines, Third Edition is renowned for its thoroughness and readability. This well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. This is ideal for professional engineers and research scientists.
"Design’s ability to connect requires it to be in the middle position. The work’s qualities are defined by the characteristics of what surrounds it, like how the negative space between two closely placed parallel lines creates a third line. We’re that third line, frequently shifting in order to serve and respond to the elements around us. As the elements connected by design change, so, too, does the design. The field is in flux, always being neither this nor that, which makes it frustrating to try to pin down. It is, like all shape-shifters, evasive and slippery."
What happens when you’ve built a great website or app, but no one seems to care? How do you get people to stick around long enough to see how your service might be of value? In Seductive Interaction Design, speaker and author Stephen P. Anderson takes a fresh approach to designing sites and interactions based on the stages of seduction. This beautifully designed book examines what motivates people to act.
To achieve success in today's ever-changing and unpredictable markets, competitive businesses need to rethink and reframe their strategies across the board. Instead of approaching new product development from the inside out, companies have to begin by looking at the process from the outside in, beginning with the customer experience. It's a new way of thinking-and working-that can transform companies struggling to adapt to today's environment into innovative, agile, and commercially successful organizations.
If you're a website designer, intranet manager or someone without much Information Architecture experience, this book answers all those questions you were afraid to ask.
By reading this book you will:
