{"product_id":"statistics-every-programmer-needs","title":"Statistics Every Programmer Needs","description":"\u003cp\u003e\u003cb\u003ePut statistics into practice with Python!\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eData-driven decisions rely on statistics. \u003ci\u003eStatistics Every Programmer Needs\u003c\/i\u003e introduces the statistical and quantitative methods that will help you go beyond “gut feeling” for tasks like predicting stock prices or assessing quality control, with examples using the rich tools of the Python ecosystem.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eStatistics Every Programmer Needs\u003c\/i\u003e will teach you how to:\u003c\/p\u003e\u003cp\u003e• Apply foundational and advanced statistical techniques\u003cbr\u003e• Build predictive models and simulations\u003cbr\u003e• Optimize decisions under constraints\u003cbr\u003e• Interpret and validate results with statistical rigor\u003cbr\u003e• Implement quantitative methods using Python\u003c\/p\u003e\u003cp\u003eIn this hands-on guide, stats expert \u003cb\u003eGary Sutton\u003c\/b\u003e blends the theory behind these statistical techniques with practical Python-based applications, offering structured, reproducible, and defensible methods for tackling complex decisions. Well-annotated and reusable Python code listings illustrate each method, with examples you can follow to practice your new skills.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eWhether you’re analyzing application performance metrics, creating relevant dashboards and reports, or immersing yourself in a numbers-heavy coding project, every programmer needs to know how to turn raw data into actionable insight. Statistics and quantitative analysis are the essential tools every programmer needs to clarify uncertainty, optimize outcomes, and make informed choices.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eStatistics Every Programmer Needs\u003c\/i\u003e teaches you how to apply statistics to the everyday problems you’ll face as a software developer. Each chapter is a new tutorial. You’ll predict ultramarathon times using linear regression, forecast stock prices with time series models, analyze system reliability using Markov chains, and much more. The book emphasizes a balance between theory and hands-on Python implementation, with annotated code and real-world examples to ensure practical understanding and adaptability across industries.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat's inside\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e• Probability basics and distributions\u003cbr\u003e• Random variables\u003cbr\u003e• Regression\u003cbr\u003e• Decision trees and random forests\u003cbr\u003e• Time series analysis\u003cbr\u003e• Linear programming\u003cbr\u003e• Monte Carlo and Markov methods and much more\u003c\/p\u003e\u003ch3\u003eAbout the Author\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eGary Sutton\u003c\/b\u003e is a vice president for a leading financial services company. He has built and led high-performing business intelligence and analytics organizations across multiple verticals, where R was the preferred programming language for predictive modeling, statistical analyses, and other quantitative insights. Gary earned his undergraduate degree from the University of Southern California, a Masters from George Washington University, and a second Masters in Data Science, from Northwestern University.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e1 Laying the groundwork\u003cbr\u003e2 Exploring probability and counting\u003cbr\u003e3 Exploring probability distributions and conditional probabilities\u003cbr\u003e4 Fitting a linear regression\u003cbr\u003e5 Fitting a logistic regression\u003cbr\u003e6 Fitting a decision tree and a random forest\u003cbr\u003e7 Fitting time series models\u003cbr\u003e8 Transforming data into decisions with linear programming\u003cbr\u003e9 Running Monte Carlo simulations\u003cbr\u003e10 Building and plotting a decision tree\u003cbr\u003e11 Predicting future states with Markov analysis\u003cbr\u003e12 Examining and testing naturally occurring number sequences\u003cbr\u003e13 Managing projects\u003cbr\u003e14 Visualizing quality control\u003c\/p\u003e\u003cp\u003eGet a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eeBook License\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eEnd-User Warranty and License Agreement\u003c\/p\u003e\u003cp\u003e1. Grant of License\u003c\/p\u003e\u003cp\u003eManning has authorized the download by you of an unrestricted number of copies of the electronic book (ebook) in any of the available formats. Manning grants you a nonexclusive, nontransferable license to use the ebook according to the terms and conditions herein. This License Agreement permits you to install the ebook on any and all your devices for your personal use only.\u003c\/p\u003e\u003cp\u003e2. Restrictions\u003c\/p\u003e\u003cp\u003eYou shall not: (1) share, resell, rent, assign, timeshare, distribute, or transfer all or part of the ebook or any rights granted hereunder to any other person; (2) duplicate the ebook, except for a single backup or archival copy; (3) remove any proprietary notices, labels, or marks from the ebook; (4) transfer or sublicense title to the ebook to any other party.\u003c\/p\u003e\u003cp\u003e3. Intellectual Property Protection\u003c\/p\u003e\u003cp\u003eThe ebook is owned by Manning and is protected by United States and international copyright and other intellectual property laws. Manning reserves all rights in the ebook not expressly granted herein. This license and your right to use the ebook terminate automatically if you violate any part of this Agreement. In the event of termination, you must remove the original and any copies of the ebook from all your devices.\u003c\/p\u003e\u003cp\u003e4. Source Code Supplementary Material\u003c\/p\u003e\u003cp\u003eAny source code files provided as a supplement to the book are freely available to the public for download. Reuse of the code is permitted, in whole or in part, including the creation of derivative works, provided that you acknowledge that you are using it and identify the source: title, publisher and year.\u003c\/p\u003e\u003cp\u003e5. Limited Warranty\u003c\/p\u003e\u003cp\u003eManning warrants that the ebook files, a copy of which you are authorized to download, are free from defects in the operational sense that they can be read by a PDF Reader or ePub reader, or other. EXCEPT FOR THIS EXPRESS LIMITED WARRANTY, MANNING MAKES AND YOU RECEIVE NO WARRANTIES, EXPRESS, IMPLIED, STATUTORY OR IN ANY COMMUNICATION WITH YOU, AND MANNING SPECIFICALLY DISCLAIMS ANY OTHER WARRANTY INCLUDING THE IMPLIED WARRANTY OF MERCHANTABILITY OR FITNESS OR A PARTICULAR PURPOSE. MANNING DOES NOT WARRANT THAT THE OPERATION OF THE EBOOK WILL BE UNINTERRUPTED OR ERROR FREE. If the ebook was purchased in the United States, the above exclusions may not apply to you as some states do not allow the exclusion of implied warranties. In addition to the above warranty rights, you may also have other rights that vary from state to state.\u003c\/p\u003e\u003cp\u003e6. Limitation of Liability\u003c\/p\u003e\u003cp\u003eIN NO EVENT WILL MANNING BE LIABLE FOR ANY DAMAGES, WHETHER ARISING FOR TORT OR CONTRACT, INCLUDING LOSS OF DATA, LOST PROFITS, OR OTHER SPECIAL, INCIDENTAL, CONSEQUENTIAL, OR INDIRECT DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE EBOOK.\u003c\/p\u003e\u003cp\u003e7. General\u003c\/p\u003e\u003cp\u003eThis Agreement constitutes the entire agreement between you and Manning and supersedes any prior agreement concerning the ebook. This Agreement is governed by the laws of the State of New York.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":50506487038022,"sku":"9781633436053","price":5988.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50506487070790,"sku":"9781633436053-2","price":5909.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/Sutton-HI.png?v=1790330399","url":"https:\/\/cb-india.com\/products\/statistics-every-programmer-needs","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}