Author: Andrew Michael Brookins Publisher: ISBN: 9781734303704 Category : Computers Languages : en Pages : 164
Book Description
Improve your Django application's database performance while exploring an abandoned temple. Descend the Sacrificial Cliff of Profiling. Get lost in the Labyrinth of Indexing. Ransack the Crypt of Querying. Then get back to saving the world from unbounded queries!
Author: Albert Lukaszewski Publisher: Packt Publishing Ltd ISBN: 1849510199 Category : Computers Languages : en Pages : 661
Book Description
This is a practical, tutorial-style book that includes many examples to demonstrate the full potential of MySQL for Python. Every chapter starts with an explanation of the various areas for using MySQL for Python and ends with work on a sample application using the programming calls just learned. All complicated concepts are broken down to be very easy to understand. Everything in the book is designed to help you learn and use MySQL for Python to address your programming needs in the fastest way possible. This book is meant for intermediate users of Python who want hassle-free access to their MySQL database through Python. If you are a Python programmer who wants database-support in your Python applications, then this book is for you. This book is a must-read for every focused user of the MySQL for Python library who wants real-world applications using this powerful combination of Python and MySQL.
Author: Peter Baumgartner Publisher: Createspace Independent Publishing Platform ISBN: 9781508748120 Category : Django (Electronic resource) Languages : en Pages : 0
Book Description
Getting started with Django is easy. There are tutorials and books that literally walk you through the process of getting your first site up and running. Taking that code from your laptop to the real world is like opening pandora's box. Should I use Apache, Gunicorn, uWSGI or something else? Where should I use caching to make things faster? How do I know if my database has the right indexes or if it needs more resources? Do I need a NoSQL database like MongoDB? The site runs great on my laptop. Why is it so slow in production? How many servers does my site need? How big should they be? What is the 20% effort that will solve 80% of my performance problems? If you've asked yourself any of these questions, you're like most Django developers. Heck, we were asking some of the same questions when we started working with Django 7 years ago at Lincoln Loop. Since then we've built, deployed, and maintained a lot of Django sites. Everything from realtime applications to large-scale CMSes with tons of traffic. Quite frankly, we made a lot of mistakes, but we learned a lot too. High Performance Django is the book we wish we had when we got started. It will give you a repeatable blueprint for building and deploying fast, scalable Django sites. More information and ebook formats available at https: //highperformancedjango.com.
Author: Bradley N. Miller Publisher: Franklin Beedle & Associates ISBN: 9781590282571 Category : Algorithms Languages : en Pages : 0
Book Description
Thes book has three key features : fundamental data structures and algorithms; algorithm analysis in terms of Big-O running time in introducied early and applied throught; pytohn is used to facilitates the success in using and mastering data strucutes and algorithms.
Author: Brian Godsey Publisher: Simon and Schuster ISBN: 1638355207 Category : Computers Languages : en Pages : 540
Book Description
Summary Think Like a Data Scientist presents a step-by-step approach to data science, combining analytic, programming, and business perspectives into easy-to-digest techniques and thought processes for solving real world data-centric problems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Data collected from customers, scientific measurements, IoT sensors, and so on is valuable only if you understand it. Data scientists revel in the interesting and rewarding challenge of observing, exploring, analyzing, and interpreting this data. Getting started with data science means more than mastering analytic tools and techniques, however; the real magic happens when you begin to think like a data scientist. This book will get you there. About the Book Think Like a Data Scientist teaches you a step-by-step approach to solving real-world data-centric problems. By breaking down carefully crafted examples, you'll learn to combine analytic, programming, and business perspectives into a repeatable process for extracting real knowledge from data. As you read, you'll discover (or remember) valuable statistical techniques and explore powerful data science software. More importantly, you'll put this knowledge together using a structured process for data science. When you've finished, you'll have a strong foundation for a lifetime of data science learning and practice. What's Inside The data science process, step-by-step How to anticipate problems Dealing with uncertainty Best practices in software and scientific thinking About the Reader Readers need beginner programming skills and knowledge of basic statistics. About the Author Brian Godsey has worked in software, academia, finance, and defense and has launched several data-centric start-ups. Table of Contents PART 1 - PREPARING AND GATHERING DATA AND KNOWLEDGE Philosophies of data science Setting goals by asking good questions Data all around us: the virtual wilderness Data wrangling: from capture to domestication Data assessment: poking and prodding PART 2 - BUILDING A PRODUCT WITH SOFTWARE AND STATISTICS Developing a plan Statistics and modeling: concepts and foundations Software: statistics in action Supplementary software: bigger, faster, more efficient Plan execution: putting it all together PART 3 - FINISHING OFF THE PRODUCT AND WRAPPING UP Delivering a product After product delivery: problems and revisions Wrapping up: putting the project away
Author: Dan Simmons Publisher: St. Martin's Griffin ISBN: 1429985313 Category : Fiction Languages : en Pages : 529
Book Description
This masterfully crafted horror classic, featuring a brand-new introduction by Dan Simmons, will bring you to the edge of your seat, hair standing on end and blood freezing in your veins It's the summer of 1960 and in the small town of Elm Haven, Illinois, five twelve-year-old boys are forging the powerful bonds that a lifetime of change will not break. From sunset bike rides to shaded hiding places in the woods, the boys' days are marked by all of the secrets and silences of an idyllic middle-childhood. But amid the sundrenched cornfields their loyalty will be pitilessly tested. When a long-silent bell peals in the middle of the night, the townsfolk know it marks the end of their carefree days. From the depths of the Old Central School, a hulking fortress tinged with the mahogany scent of coffins, an invisible evil is rising. Strange and horrifying events begin to overtake everyday life, spreading terror through the once idyllic town. Determined to exorcize this ancient plague, Mike, Duane, Dale, Harlen, and Kevin must wage a war of blood—against an arcane abomination who owns the night...
Author: Toby Segaran Publisher: "O'Reilly Media, Inc." ISBN: 144937929X Category : Computers Languages : en Pages : 386
Book Description
In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include: Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran
Author: William S. Vincent Publisher: Still River Press ISBN: 1081582162 Category : Computers Languages : en Pages : 405
Book Description
Completely updated for Django 4.0! Django for Professionals takes your web development skills to the next level, teaching you how to build production-ready websites with Python and Django. Once you have learned the basics of Django there is a massive gap between building simple "toy apps" and what it takes to build a "production-ready" web application suitable for deployment to thousands or even millions of users. In the book you’ll learn how to: * Build a Bookstore website from scratch * Use Docker and PostgreSQL locally to mimic production settings * Implement advanced user registration with email * Customize permissions to control user access * Write comprehensive tests * Adopt advanced security and performance improvements * Add search and file/image uploads * Deploy with confidence If you want to take advantage of all that Django has to offer, Django for Professionals is a comprehensive best practices guide to building and deploying modern websites.
Author: Daniel Levitin Publisher: Penguin UK ISBN: 0241987369 Category : Music Languages : en Pages : 229
Book Description
From the author of The Changing Mind and The Organized Mind comes a New York Times bestseller that unravels the mystery of our perennial love affair with music ***** 'What do the music of Bach, Depeche Mode and John Cage fundamentally have in common?' Music is an obsession at the heart of human nature, even more fundamental to our species than language. From Mozart to the Beatles, neuroscientist, psychologist and internationally-bestselling author Daniel Levitin reveals the role of music in human evolution, shows how our musical preferences begin to form even before we are born and explains why music can offer such an emotional experience. In This Is Your Brain On Music Levitin offers nothing less than a new way to understand music, and what it can teach us about ourselves. ***** 'Music seems to have an almost wilful, evasive quality, defying simple explanation, so that the more we find out, the more there is to know . . . Daniel Levitin's book is an eloquent and poetic exploration of this paradox' Sting 'You'll never hear music in the same way again' Classic FM magazine 'Music, Levitin argues, is not a decadent modern diversion but something of fundamental importance to the history of human development' Literary Review
Author: William S. Vincent Publisher: WelcomeToCode ISBN: Category : Computers Languages : en Pages : 201
Book Description
Completely updated for Django 4.0 & Django REST Framework 3.13! Django for APIs is a project-based guide to building modern web APIs with Django & Django REST Framework. It is suitable for beginners who have never built an API before as well as professional programmers looking for a fast-paced introduction to Django fundamentals and best practices. Over the course of 200+ pages you'll learn how to set up a new project properly, how web APIs work under the hood, and advanced testing and deployment techniques. Three separate projects are built from scratch with progressively more advanced features including a Library API, Todo API, and Blog API. User authentication, permissions, documentation, viewsets, and routers are all covered thoroughly. Django for APIs is a best-practices guide to building powerful Python-based web APIs with a minimal amount of code.
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Author: Andrew Michael Brookins
Author: Albert Lukaszewski
Author: Peter Baumgartner
Author: Bradley N. Miller
Author: Brian Godsey
Author: Dan Simmons
Author: Toby Segaran
Author: William S. Vincent
Author: Daniel Levitin
Author: William S. Vincent