Found inside – Page 1About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Found insideWith this book you’ll learn how to master the world of distributed version workflow, use the distributed features of Git to the full, and extend Git to meet your every need. Found inside – Page 226You now have a cluster controlled by a GitHub repo. ... Don't be afraid to experiment and move elements, searching for the best structure for your project. Found inside – Page 88In the following sections, we will provide some sample scenarios for ... --upgrade pyVmomi Sample code for pyVmomi There is a project on GitHub about ... Found inside – Page iAbout The Book The 21 fun-but-powerful activities in Tiny Python Projects teach Python fundamentals through puzzles and games. In this document, we'll take a tour of Python's features suitable for implementing programs in a functional style. With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity—and get the most value out of their test suites. Found insideThe Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. Found insideIt runs only a handful of languages, but Python is included. ... Decanter: Creates a Bottle based directory structure with an example view and controller. Looks at the principles and clean code, includes case studies showcasing the practices of writing clean code, and contains a list of heuristics and "smells" accumulated from the process of writing clean code. Dead Simple Python dives deep into the nuts and bolts of the Python programming language. Found insideWith this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas ... Found insideThis book is intended for Python developers who want to use the principles of test-driven development (TDD) to create efficient and robust applications. Found inside – Page 160of technologies (e.g. Python, common packages) and way of doing things (open sourcing ... The main view of a repository62 on Github shows the project title, ... Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to ... Found insideThis book demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts. This hands-on second edition, expanded and thoroughly updated for Terraform version 0.12 and beyond, shows you the fastest way to get up and running. Found insideThis book will help you: Define your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML models and address performance bottlenecks Deploy ... Found insideNow, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. Found inside"This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"-- Found insideThis book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills. Found insideIn this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ... Found insideF. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer ... Found inside – Page 177The red/green numbers indicate the lines contributed/deleted. Taken from http://github.com/python/cpython. Creating a Project Structure with pyscaffold. Found inside – Page 45You can find sample .gitignore files for Python projects at https:// ... Python. and. OpenCV. project. Based on the minimal project structure that was shown ... About the book Fighting Churn with Data teaches developers and data scientists proven techniques for stopping churn before it happens. Found insideIdeal for programmers, security professionals, and web administrators familiar with Python, this book not only teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for ... Found inside – Page 1For your next project on GitHub, take advantage of the service’s powerful API to meet your unique development requirements. This practical guide shows you how to build your own software tools for customizing the GitHub workflow. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial ... Found insidePresents case studies and instructions on how to solve data analysis problems using Python. What You Will Learn Develop a fully-fledged blockchain in Python Obtain a ground-up understanding of of Proof of Work Grasp core cryptographic concepts, such as hashing, encryption, and digital signatures Understand how gossip protocols and ... Found inside – Page 148... GitHub, or Bitbucket, for example) that contains the complete, empty project structure for the system and its component projects A component project for ... Found inside – Page 167... 76 privilege escalation example service, 138 py2exe, 105n PyCrypto package, 128n PyHook library, 112n Python GitHub API library, 102n Python WMI page, ... Found insideGain expertise in Flask to create dynamic and powerful web applications About This Book Work with scalable Flask application structures to create complex web apps Discover the most powerful Flask extensions and learn how to create one ... Found insideYou can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub. Found inside – Page 1You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory ... The second edition of this book will show you how to use the latest state-of-the-art frameworks in NLP, coupled with Machine Learning and Deep Learning to solve real-world case studies leveraging the power of Python. Found insideIf you have Python experience, this book shows you how to take advantage of the creative freedom Flask provides. Found insideThis hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes. Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. 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