Think DSP: Digital Signal Processing in Python
“Think DSP: Digital Signal Processing in Python” is an introduction to signal processing and system analysis using a computational approach. The premise of this book (like the others in the Think X series) is that if you know how to program, you can use that skill to learn other things. By the end of the first chapter, you'll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Subsequent chapters follow a logical progression that develops the important ideas incrementally, with a focus on applications.
About the Author
Allen Downey is a Professor of Computer Science at Olin College of Engineering. He has taught at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.
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The professional programmer’s Deitel(R) guide to Java(TM) SE 7 and SE 8 (Java 8) development with the powerful Java(TM) platform ‘ Written for programmers with a background in high-level language programming, this book applies the Deitel signature live-code approach to teaching programming and explores the Java(TM) language and Java(TM) APIs in depth. The book presents’ concepts in the context of fully tested programs, complete with syntax shading, code highlighting, line-by-line code walkthroughs and program outputs. The book features hundreds of complete Java(TM) programs with thousands of lines of proven Java(TM) code, and hundreds of tips that will help you build robust applications. ‘ Start with an introduction to Java(TM) using an early classes and objects approach, then rapidly move on to more advanced topics, including GUI, graphics, exception handling, lambdas, streams, functional interfaces, object serialization, concurrency, generics, generic collections, JDBC(TM) and more. You’ll enjoy the Deitels’ classic treatment of object-oriented programming and the object-oriented design ATM case study, including a complete Java(TM) implementation. When you’re finished, you’ll have everything you need to build industrial-strength object-oriented” Java(TM) SE 7 and SE 8 (Java 8) applications. ‘ Practical, Example-Rich Coverage of: * Java(TM) SE 7 and SE 8 (Java 8) * Lambdas, Streams, Functional Interfaces with Default and Static Methods * Classes, Objects, Encapsulation,’ Inheritance, Polymorphism, Interfaces * Swing and JavaFX GUIs; Graphics * Integrated Exception Handling * Files, Streams, Object Serialization * Multithreading and Concurrency for Optimal Multi-Core Performance * Generics and Generic Collections * Database (JDBC(TM), SQL and JavaDB) * Using the Debugger and the API Docs * Industrial-Strength, Object-Oriented Design ATM Case Study and more. ‘ Visit www.deitel.com * Download code examples * For information on Deitel’s Dive Into(R) Series programming training courses delivered at organizations worldwide visit www.deitel.com/training or’ write to firstname.lastname@example.org * Join the Deitel social networking communities on Facebook(R) at’ facebook.com/DeitelFan,’ Twitter(R) @deitel, Google (TM) at google.com/ DeitelFan,” LinkedIn(R) at bit.ly/DeitelLinkedIn, YouTube(TM) at’ youtube.com/user/DeitelTV * Subscribe to the Deitel(R) Buzz Online e-mail newsletter at’ www. deitel.com/newsletter/ subscribe.html ‘
In just 24 sessions of one hour or less, Sams Teach Yourself Python Programming for Raspberry Pi in 24 Hours teaches you Python programmingon Raspberry Pi, so you can start creating awesome projects for homeautomation, home theater, gaming, and more. Using this book’s straightforward,step-by-step approach, you’ll move from the absolute basics all theway through network and web connections, multimedia, and even connectingwith electronic circuits for sensing and robotics. Every lesson and casestudy application builds on what you’ve already learned, giving you arock-solid foundation for real-world success! Step-by-step instructions carefully walk you through the most common Raspberry Pi Python programming tasks. Quizzes at the end of each chapter help you test your knowledge. By the Way notes present interesting information related to the discussion. Did You Know? tips offer advice or show you easier ways to perform tasks. Watch Out! cautions alert you to possible problems and give you advice on how to avoid them. * Get your Raspberry Pi and choose the right low-cost peripherals * Set up Raspian Linux and the Python programming environment * Learn Python basics, including arithmetic and structured commands * Master Python 3 lists, tuples, dictionaries, sets, strings, files, and modules * Reuse the same Python code in multiple locations with functions * Manipulate string data efficiently with regular expressions * Practice simple object-oriented programming techniques * Use exception handling to make your code more reliable * Program modern graphical user interfaces with Raspberry Pi and OpenGL * Create Raspberry Pi games with the PyGame library * Learn network, web, and database techniques you can also use in business software * Write Python scripts that send email * Interact with other devices through Raspberry Pi’s GPIO interface * Walk through example Raspberry Pi projects that inspire you to do even more.
About the Author
John S. Conery is a professor in the Department of Computer and Information Science at the University of Oregon. With over 30 years of teaching experience, he has taught courses on high performance computing and scientific computing in addition to introductory computer science courses. A member of the University’s Center for Ecology and Evolutionary Biology, Dr. Conery has worked with biologists on a variety of problems related to gene and genome duplication, artificial neural networks, and population modeling. His current research interests are computational biology and bioinformatics.
About the Author
Wes McKinney is the main author of pandas, the popular open source Python library for data analysis. Wes is an active speaker and participant in the Python and open source communities. He worked as a quantitative analyst at AQR Capital Management before founding an enterprise data analysis company, Lambda Foundry, in 2012. He graduated from MIT with an S.B. in Mathematics.