This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    Each chapter gives you the complete source code for a new game and teaches the programming concepts from these examples. The book is available under a Creative Commons license and can be downloaded in full for free from http: //inventwithpython.com/pygame This book was written to be understandable by kids as young as 10 to 12 years old, although it is great for anyone of any age who has some familiarity with Python.

    Whether you are a beginner or an experienced administrator, you'll quickly be able to apply its principles and advice to your everyday problems.The book approaches Unix system administration from the perspective of your job -- the routine tasks and troubleshooting that make up your day. Whether you're dealing with frustrated users, convincing an uncomprehending management that you need new hardware, rebuilding the kernel, or simply adding new users, you'll find help in this book. You'll also learn about back up and restore and how to set up printers, secure your system, and perform many other system administration tasks. But the book is not for full-time system administrators alone. Linux users and others who administer their own systems will benefit from its practical, hands-on approach.This second edition has been updated for all major Unix platforms, including SunOS 4.1, Solaris 2.4, AIX 4.1, Linux 1.1, Digital Unix, OSF/1, SCO Unix Version 3, HP/UX Versions 9 and 10, and IRIX Version 6. The entire book has been thoroughly reviewed and tested on all of the platforms covered. In addition, networking, electronic mail, security, and kernel configuration topics have been expanded substantially.Topics covered include:Starting up and shutting down your system Adding new users Managing processes System security Organizing and planning file systems Planning and performing backups Setting up pointers TCP/IP networking Setting up email Adding terminals and disk drives Setting up and using the accounting system

    In this time, developers and architects have encountered a number of recurring design challenges related to their usage, and have learned that certain service design approaches work better than others to solve certain problems.   In Service Design Patterns, Rob Daigneau codifies proven design solutions for web services that follow the REST architectural style or leverage the SOAP/WSDL specifications. This catalogue identifies the fundamental topics in web service design and lists the common design patterns for each topic. All patterns identify the context in which they may be used, explain the constituent design elements, and explore the relative strengths and trade-offs. Code examples are provided to help you better understand how the patterns work but are kept general so that you can see how the solutions may be applied to disparate technologies that will inevitably change in the years to come.   This book will help readers answer the following questions: How do you create a web service API, what are the common API styles, and when should a particular style be used? How can clients and web services communicate, and what are the foundations for creating complex conversations in which multiple parties exchange data over extended periods of time? What are the options for implementing web service logic, and when should a particular approach be used? How can clients become less coupled to the underlying systems used by a service? How can information about a web service be discovered? How can generic functions like authentication, validation, caching, and logging be supported on the client or service? What changes to a service cause clients to break? What are the common ways to version a service? How can web services be designed to support the continuing evolution of business logic without forcing clients to constantly upgrade?  This book is an invaluable resource for enterprise architects, solution architects, and developers who use web services to create enterprise IT applications, commercial or open source products, and Software as a Service (SaaS) products that leverage emerging Cloud platforms.

    Each idiom comes with a detailed description, example code showing the "wrong" way to do it, and code for the idiomatic, "Pythonic" alternative. *This version of the book is for Python 2.7.3+. There is also a Python 3.3+ version available.* "Writing Idiomatic Python" contains the most common and important Python idioms in a format that maximizes identification and understanding. Each idiom is presented as a recommendation to write some commonly used piece of code. It is followed by an explanation of why the idiom is important. It also contains two code samples: the "Harmful" way to write it and the "Idiomatic" way. * The "Harmful" way helps you identify the idiom in your own code. * The "Idiomatic" way shows you how to easily translate that code into idiomatic Python. This book is perfect for you: * If you're coming to Python from another programming language * If you're learning Python as a first programming language * If you're looking to increase the readability, maintainability, and correctness of your Python code What is "Idiomatic" Python? Every programming language has its own idioms. Programming language idioms are nothing more than the generally accepted way of writing a certain piece of code. Consistently writing idiomatic code has a number of important benefits: * Others can read and understand your code easily * Others can maintain and enhance your code with minimal effort * Your code will contain fewer bugs * Your code will teach others to write correct code without any effort on your part

    Unsatisfied with books that cover either design or operations in isolation, the authors created this authoritative reference centered on a comprehensive approach. Case studies and examples from Google, Etsy, Twitter, Facebook, Netflix, Amazon, and other industry giants are explained in practical ways that are useful to all enterprises. The new companion to the best-selling first volume, The Practice of System and Network Administration, Second Edition, this guide offers expert coverage of the following and many other crucial topics: Designing and building modern web and distributed systemsFundamentals of large system design Understand the new software engineering implications of cloud administration Make systems that are resilient to failure and grow and scale dynamically Implement DevOps principles and cultural changes IaaS/PaaS/SaaS and virtual platform selection Operating and running systems using the latest DevOps/SRE strategiesUpgrade production systems with zero down-time What and how to automate; how to decide what not to automate On-call best practices that improve uptime Why distributed systems require fundamentally different system administration techniques Identify and resolve resiliency problems before they surprise you Assessing and evaluating your team's operational effectivenessManage the scientific process of continuous improvement A forty-page, pain-free assessment system you can start using today

    Millions of people use Google Drive and its popular word processor, Docs, every day. You too can use Drive and Docs to perform the following tasks: * Write letters and reports* Enter data into Sheets, Google's free online spreadsheet program* Give presentations using Slides* Collaborate online with classmates and colleagues on important documents* Convert documents to different file formats * Print documents, drawings, and spreadsheets* Export PDFs * Make pie charts, bar charts, and simple tables* Publish documents and spreadsheets onlineThere are a lot of features, including some unfamiliar ones for people who are used to Microsoft Office. "Google Drive & Docs In 30 Minutes" cuts through the clutter, using screenshots, step-by-step instructions, and plain English. After covering registration, file creation and other basics, the book zeroes in on the most important time-saving tips and productivity tools. Highlights include:* Converting files between Microsoft Office and Google Drive formats.* Best practices for organizing files in Google Drive.* What to expect with collaboration in Google Drive.* Using Google Drive on phones and tablets: What works, and what doesn't.* Accessing older versions of files.* How to publish your documents to the Web for colleagues or members of the public to view.* Sorting and filtering data in Google Spreadsheets (with examples).* Using Web Forms to gather data.* Google Slides: Is it a suitable alternative to Microsoft PowerPoint or Apple Keynote?* Working with offline files.* Downloading third-party apps."Google Drive And Docs In 30 Minutes" is an In 30 Minutes™ guide. Other books in the series include "Dropbox In 30 Minutes", "Google Blogger For Small Businesses In 30 Minutes", and "Excel Basics In 30 Minutes".

    What You Will Learn - Write clean and maintainable code - Create reusable components applying consolidated techniques - Use React effectively in the browser and node - Choose the right styling approach according to the needs of the applications - Use server-side rendering to make applications load faster - Build high-performing applications by optimizing components In Detail Taking a complete journey through the most valuable design patterns in React, this book demonstrates how to apply design patterns and best practices in real-life situations, whether that's for new or already existing projects. It will help you to make your applications more flexible, perform better, and easier to maintain - giving your workflow a huge boost when it comes to speed without reducing quality. We'll begin by understanding the internals of React before gradually moving on to writing clean and maintainable code. We'll build components that are reusable across the application, structure applications, and create forms that actually work. Then we'll style React components and optimize them to make applications faster and more responsive. Finally, we'll write tests effectively and you'll learn how to contribute to React and its ecosystem. By the end of the book, you'll be saved from a lot of trial and error and developmental headaches, and you will be on the road to becoming a React expert. Style and approach The design patterns in the book are explained using real-world, step-by-step examples. For each design pattern, there are hints about when to use it and when to look for something more suitable. This book can also be used as a practical guide, showing you how to leverage design patterns.

    Chapter 1: Introduction to Production and Operations Management Chapter 2: Strategic Operations Management Chapter 3: Production Processes, Manufacturing and Service Operations Chapter 4: Design of Production Systems Chapter 5: Manufacturing Technology Chapter 6: Long-Range Capacity Planning Chapter 7: Facility Location Chapter 8: Facility Layout Chapter 9: Design of Work Systems Chapter 10: Production/Operations Planning and Control Chapter 10: Aggregate Planning and Master Production Scheduling Chapter 11: Resource Requirement Planning Chapter 13: Shop Floor Planning and Control Chapter 14: Quality Management Chapter 15: Maintenance Management Chapter 16: Introduction to Materials Management Chapter 17: Inventory Management Chapter 18: JustlnTime Systems Chapter 19: Logistics and Supply Chain Management Index 557564

    It shows readers how to step back from coding to consider design strategies and attempt to get into the head of the designer.

    Security professionals will find plenty of solutions in this book to the problems posed by viruses, Trojan horses, worms, spyware, rootkits, adware, and other invasive software. Written by well-known malware experts, this guide reveals solutions to numerous problems and includes a DVD of custom programs and tools that illustrate the concepts, enhancing your skills. Security professionals face a constant battle against malicious software; this practical manual will improve your analytical capabilities and provide dozens of valuable and innovative solutions Covers classifying malware, packing and unpacking, dynamic malware analysis, decoding and decrypting, rootkit detection, memory forensics, open source malware research, and much more Includes generous amounts of source code in C, Python, and Perl to extend your favorite tools or build new ones, and custom programs on the DVD to demonstrate the solutions Malware Analyst's Cookbook is indispensible to IT security administrators, incident responders, forensic analysts, and malware researchers.

    With this long-awaited revision, the authors continue to present the theory in a concise and straightforward manner, now with an eye out for the practical applications. They have revised this book to make it more accessible to today's students, including the addition of more material on writing proofs, more figures and pictures to convey ideas, side-boxes to highlight other interesting material, and a less formal writing style. Exercises at the end of each chapter, including some new, easier exercises, help readers confirm and enhance their understanding of the material. *NEW! Completely rewritten to be less formal, providing more accessibility to todays students. *NEW! Increased usage of figures and pictures to help convey ideas. *NEW! More detail and intuition provided for definitions and proofs. *NEW! Provides special side-boxes to present supplemental material that may be of interest to readers. *NEW! Includes more exercises, including many at a lower level. *NEW! Presents program-like notation for PDAs and Turing machines. *NEW! Increas

    Open Source has grabbed the computer industry's attention. Netscape has opened the source code to Mozilla; IBM supports Apache; major database vendors haved ported their products to Linux. As enterprises realize the power of the open-source development model, Open Source is becoming a viable mainstream alternative to commercial software.Now in Open Sources, leaders of Open Source come together for the first time to discuss the new vision of the software industry they have created. The essays in this volume offer insight into how the Open Source movement works, why it succeeds, and where it is going.For programmers who have labored on open-source projects, Open Sources is the new gospel: a powerful vision from the movement's spiritual leaders. For businesses integrating open-source software into their enterprise, Open Sources reveals the mysteries of how open development builds better software, and how businesses can leverage freely available software for a competitive business advantage.The contributors here have been the leaders in the open-source arena:Brian Behlendorf (Apache) Kirk McKusick (Berkeley Unix) Tim O'Reilly (Publisher, O'Reilly & Associates) Bruce Perens (Debian Project, Open Source Initiative) Tom Paquin and Jim Hamerly (mozilla.org, Netscape) Eric Raymond (Open Source Initiative) Richard Stallman (GNU, Free Software Foundation, Emacs) Michael Tiemann (Cygnus Solutions) Linus Torvalds (Linux) Paul Vixie (Bind) Larry Wall (Perl) This book explains why the majority of the Internet's servers use open- source technologies for everything from the operating system to Web serving and email. Key technology products developed with open-source software have overtaken and surpassed the commercial efforts of billion dollar companies like Microsoft and IBM to dominate software markets. Learn the inside story of what led Netscape to decide to release its source code using the open-source mode. Learn how Cygnus Solutions builds the world's best compilers by sharing the source code. Learn why venture capitalists are eagerly watching Red Hat Software, a company that gives its key product -- Linux -- away.For the first time in print, this book presents the story of the open- source phenomenon told by the people who created this movement.Open Sources will bring you into the world of free software and show you the revolution.

    This book brings you up-to-date with the latest changes in this crucial service.The fifth edition covers BIND 9.3.2, the most recent release of the BIND 9 series, as well as BIND 8.4.7. BIND 9.3.2 contains further improvements in security and IPv6 support, and important new features such as internationalized domain names, ENUM (electronic numbering), and SPF (the Sender Policy Framework).Whether you're an administrator involved with DNS on a daily basis or a user who wants to be more informed about the Internet and how it works, you'll find that this book is essential reading.Topics include:What DNS does, how it works, and when you need to use it How to find your own place in the Internet's namespace Setting up name servers Using MX records to route mail Configuring hosts to use DNS name servers Subdividing domains (parenting) Securing your name server: restricting who can query your server, preventing unauthorized zone transfers, avoiding bogus servers, etc. The DNS Security Extensions (DNSSEC) and Transaction Signatures (TSIG) Mapping one name to several servers for load sharing Dynamic updates, asynchronous notification of change to a zone, and incremental zone transfers Troubleshooting: using nslookup and dig, reading debugging output, common problems DNS programming using the resolver library and Perl's Net::DNS module

    Database performance has become a major headache, and most IT departments believe that developers should provide simple SQL code to solve immediate problems and let DBAs tune any bad SQL later.In The Art of SQL, author and SQL expert Stephane Faroult argues that this safe approach only leads to disaster. His insightful book, named after Art of War by Sun Tzu, contends that writing quick inefficient code is sweeping the dirt under the rug. SQL code may run for 5 to 10 years, surviving several major releases of the database management system and on several generations of hardware. The code must be fast and sound from the start, and that requires a firm understanding of SQL and relational theory.The Art of SQL offers best practices that teach experienced SQL users to focus on strategy rather than specifics. Faroult's approach takes a page from Sun Tzu's classic treatise by viewing database design as a military campaign. You need knowledge, skills, and talent. Talent can't be taught, but every strategist from Sun Tzu to modern-day generals believed that it can be nurtured through the experience of others. They passed on their experience acquired in the field through basic principles that served as guiding stars amid the sound and fury of battle. This is what Faroult does with SQL.Like a successful battle plan, good architectural choices are based on contingencies. What if the volume of this or that table increases unexpectedly? What if, following a merger, the number of users doubles? What if you want to keep several years of data online? Faroult's way of looking at SQL performance may be unconventional and unique, but he's deadly serious about writing good SQL and using SQL well. The Art of SQL is not a cookbook, listing problems and giving recipes. The aim is to get you-and your manager-to raise good questions.