Jack Perricone

Heavy Paperback (2 to 4 lbs)

A thorough songwriting guide featuring lessons that cover melody, harmony, rhythm, lyric writing, and form, along with emphasis on loop-based and riff-based writing, with hundreds of examples from well-known songwriters and a companion accessible website to listen to audio samples.

Great Songwriting Techniques

de3733ed-cbe2-40f6-a9ac-cb0f59c16d5e-0

Adnan Aziz

Tsung-Hsien Lee

Amit Prakash

The Insider's Guide

We’ve been using Python as our daily language at Facebook and Uber for quite some time now, and have grown to appreciate its power, versatility, and aesthetics. We wrote Python code for EPI Python from the ground up, and invested a great deal of effort to find the most efficient ways to solve interview problems in Python.We hope you enjoy reading this book as much we we enjoyed writing it. As always, we look forward to hearing our readers thoughts and criticisms of our work. Feel free to drop us a line, come by in person if you are in the Bay Area. (Ice Cream at the Facebook Sweet Shop is always fun.) - from the publisher

Elements of Programming Interviews in Python

7564f262-c6f3-4c4a-aa03-d1a3faac8e5f-1

David M. Beazley

Cover’s a bit scuffed but inside pristine 

Light Paperback (1 lb or less)

Essential Reference

Python Essential Reference is the definitive reference guide to the Python programming language--the one authoritative handbook that reliably untangles and explains both the core Python library. Designed for the practicing programmer, the book is concise, to the point, and highly accessible. It also includes detailed information on the Python library and many advanced subjects that is not available in either the official Python documentation or any other single reference source. Thoroughly updated to reflect the significant new programming language features and library modules that have been introduced in Python 2.6 and Python 3, the fourth edition of Python Essential Reference is the complete guide for programmers who need to modernize existing Python code or who are planning an eventual migration to Python 3.

Python

a60702a0-4ff6-46eb-b154-1e444167c8d0-0

Andrew W. Trask

Paperback (1 to 2 lbs)

Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide

Grokking Deep Learning

54b418b8-ae2b-45ad-8792-044d4dce5336-0

Mike McGrath

C++ Programming in Easy Steps, 5th Edition instructs you how to program in the powerful C++ language, giving complete examples that illustrate each aspect.C++ Programming in Easy Steps, 5th Edition makes no assumption you have previous knowledge of any programming language so it's ideal for the newcomer to computer programming. It has an easy-to-follow style that will appeal to programmers moving from another programming language, and to the student who is studying C++ programming at school or college, and to those seeking a career in computing who need a fundamental understanding of object oriented programming.

C++ Programming in Easy Steps

bba132a2-e19d-4b51-bf8e-2344e893ac9a-1

Palash Goyal

Sumit Pandey

Karan Jain

Computer Science

Using Neural Networks with Python

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You’ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system. This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in the form of IPython notebooks and scripts, which allow you to try out the examples and extend them in interesting ways. What You Will Learn Gain the fundamentals of deep learning and its mathematical prerequisites Discover deep learning frameworks in Python Develop a chatbot Implement a research paper on sentiment classification Who This Book Is For Software developers who are curious to try out deep learning with NLP.

Deep Learning for Natural Language Processing

ac9e1463-6c45-4431-ac3f-485546f1fa91-0

Zed Shaw

A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code

You Will Learn Python!

 

Zed Shaw has perfected the world's best system for learning Python. Follow it and you will succeed-just like the hundreds of thousands of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else.

 

In Learn Python the Hard Way, Third Edition, you'll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you'll learn how software works; what good programs look like; how to read, write, and think about code; and how to find and fix your mistakes using tricks professional programmers use. Most importantly, you'll learn the following, which you need to start writing excellent Python software of your own:

 * Installing a complete Python environment
 * Organizing and writing code
 * Basic mathematics
 * Variables
 * Strings and text
 * Interacting with users
 * Working with files
 * Looping and logic
 * Data structures using lists and dictionaries
 * Program design
 * Object-oriented programming
 * Inheritance and composition
 * Modules, classes, and objects
 * Python packaging
 * Debugging
 * Automated testing
 * Basic game development
 * Basic web development

It'll be hard at first. But soon, you'll just get it-and that will feel great!

 

This tutorial will reward you for every minute you put into it. Soon, you'll know one of the world's most powerful, popular programming languages. You'll be a Python programmer.

 

Watch Zed, too! The accompanying DVD contains 5+ hours of passionate, powerful teaching: a complete Python video course!

Learn Python the Hard Way

68c14ec2-f30d-4891-8aaf-580f411ed8b8-1

Cory Althoff

The Definitive Guide to Programming Professionally

I am a self-taught programmer. After a year of self-study, I learned to program well enough to land a job as a software engineer II at eBay. Once I got there, I realized I was severely under-prepared. I was overwhelmed by the amount of things I needed to know but hadn't learned yet. My journey learning to program, and my experience at my first job as a software engineer were the inspiration for this book. This book is not just about learning to program; although you will learn to code. If you want to program professionally, it is not enough to learn to code; that is why, in addition to helping you learn to program, I also cover the rest of the things you need to know to program professionally that classes and books don't teach you. "The Self-taught Programmer" is a roadmap, a guide to take you from writing your first Python program, to passing your first technical interview. I divided the book into six sections: 1. Learn to program in Python 3 and build your first program. 2. Learn Object-oriented programming and create a powerful Python program to get you hooked. 3. Learn to use tools like Git, Bash, regular expressions and databases. Then use your new coding skills to build a web scraper. 4. Study Computer Science fundamentals including computer architecture, data structures, algorithms and network programming. 5. Learn to program for production: I cover the software development process, testing, and best coding practices.6. Finish with tips for working with a team and landing a programming job.You CAN learn to program professionally. The path is there. Will you take it?

The Self-Taught Programmer

e002a0a8-dee0-4212-9163-8b3946449e0f-1

Francois Chollet

DESCRIPTION
Deep learning is applicable to a widening range of artificial
intelligence problems, such as image classification, speech recognition,
text classification, question answering, text-to-speech, and optical
character recognition.


Deep Learning with Python is structured around a series of practical
code examples that illustrate each new concept introduced and
demonstrate best practices. By the time you reach the end of this book,
you will have become a Keras expert and will be able to apply deep
learning in your own projects.


KEY FEATURES

* Practical code examples
* In-depth introduction to Keras
* Teaches the difference between Deep Learning and AI


ABOUT THE TECHNOLOGY
Deep learning is the technology behind photo tagging systems at
Facebook and Google, self-driving cars, speech recognition systems on
your smartphone, and much more.


AUTHOR BIO
Francois Chollet is the author of Keras, one of the most widely used
libraries for deep learning in Python. He has been working with deep neural
networks since 2012. Francois is currently doing deep learning research at
Google. He blogs about deep learning at blog.keras.io.

Deep Learning with Python

f6bcef9e-8f88-40d4-b058-6e5a0073eb83-1

Madeline Z

Madeline Z

@madeline191628

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Jack Perricone

Great Songwriting Techniques

Adnan Aziz; Tsung-Hsien Lee; Amit Prakash

Elements of Programming Interviews in Python

David M. Beazley

Python

Andrew W. Trask

Grokking Deep Learning

Mike McGrath

C++ Programming in Easy Steps

Palash Goyal; Sumit Pandey; Karan Jain

Deep Learning for Natural Language Processing

Zed Shaw

Learn Python the Hard Way

Cory Althoff

The Self-Taught Programmer

Francois Chollet

Deep Learning with Python

Francois Chollet

Deep Learning with Python

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Jack Perricone

Great Songwriting Techniques

Adnan Aziz; Tsung-Hsien Lee; Amit Prakash

Elements of Programming Interviews in Python

David M. Beazley

Python

Andrew W. Trask

Grokking Deep Learning

Mike McGrath

C++ Programming in Easy Steps

Palash Goyal; Sumit Pandey; Karan Jain

Deep Learning for Natural Language Processing

Zed Shaw

Learn Python the Hard Way

Cory Althoff

The Self-Taught Programmer

Francois Chollet

Deep Learning with Python

Francois Chollet

Deep Learning with Python

Get The App