How To Become A Data Scientist With Chatgpt A Beginners Guide To Chatgpt Assisted Programming

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How To Become A Data Scientist With ChatGPT: A Beginner's Guide to ChatGPT-Assisted Programming

Author : Rafiq Muhammad
Publisher : Rafiq Muhammad
ISBN 13 : 9198900706
Total Pages : 152 pages
Book Rating : 4.1/5 (989 download)

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Book Synopsis How To Become A Data Scientist With ChatGPT: A Beginner's Guide to ChatGPT-Assisted Programming by : Rafiq Muhammad

Download or read book How To Become A Data Scientist With ChatGPT: A Beginner's Guide to ChatGPT-Assisted Programming written by Rafiq Muhammad and published by Rafiq Muhammad. This book was released on 2024-01-13 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you aspiring to become a data scientist but feeling overwhelmed by the challenges of coding in programming languages? Are you new to data science and don't know how to code in any programming language? Look no further; this book is your comprehensive solution. Master the fundamentals of code generation with ChatGPT, learn to craft effective prompts, and navigate the DOs and DON'Ts of this invaluable tool. This book tackles the problem many aspiring data scientists face: the lack of programming skills. It's a step-by-step guide that utilizes the transformative potential of ChatGPT to empower you to code efficiently, streamline complex data analytics, and become a successful data scientist. The book contains: The role of ChatGPT in Data Science ChatGPT for Data Analytics ChatGPT-assisted programming Step-by-step approach to code generation in ChatGPT for data science Case Studies to Demonstrate Data Analysis with ChatGPT Whether you are an experienced data scientist or just starting, this book will be your trusted ally in the journey. It explores real-world applications, deepens your understanding of predictive analytics, and supercharges your data science projects. Don't let programming hurdles hold you back. Let ChatGPT assist you on your path to becoming a data scientist. Are you ready to become a data scientist without a programming background? This book is your definitive guide to a future where ChatGPT empowers your journey to become a data scientist.

A Beginners Guide To DATA SCIENCE

Author : Enamul Haque
Publisher :
ISBN 13 :
Total Pages : 288 pages
Book Rating : 4.7/5 (312 download)

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Book Synopsis A Beginners Guide To DATA SCIENCE by : Enamul Haque

Download or read book A Beginners Guide To DATA SCIENCE written by Enamul Haque and published by . This book was released on 2021-03-31 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Calling all the Aspiring Data Scientists! This book is your "one-stop-shop" to kick start your data science career without knowing how to code! In fact, data science doesn't have to be complicated! With this book, you will grow an understanding of the foundations of data science and its applications. To master this book, you don't need technical abilities. This book is recommended for beginners and anybody who want to understand data science conveniently. You don't need a big textbook to master data science today. A straightforward language has been used to ensure ease of understanding, especially for beginners. Key features include: Introduction to data scienceHistory of data scienceData science life-cycleData science tools and technologiesData science methodologyData science modelsDeveloping data science business strategyManaging data science projectsBecoming a data scientist, data engineers etc.Doing data science without codingBig dataData MiningArtificial intelligenceMachine learningDeep learningNeural networksMathematical analysisStatistical modellingUnderstanding the fundamentals of Python and RDatabase structures and principlesRobotic Process AutomationData science acronyms you need to knowOnline free data science learning resources And a lot more

A Beginner's Guide To DATA SCIENCE

Author : Enamul Haque
Publisher :
ISBN 13 : 9781447826552
Total Pages : 0 pages
Book Rating : 4.8/5 (265 download)

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Book Synopsis A Beginner's Guide To DATA SCIENCE by : Enamul Haque

Download or read book A Beginner's Guide To DATA SCIENCE written by Enamul Haque and published by . This book was released on 2023-01-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed for aspiring data scientists who want to start their careers in data science, even if they don't have coding skills. It provides a comprehensive introduction to the foundations of data science and its applications, using simple language that is easy for beginners to understand. No technical expertise is required to master the material in this book. It is an ideal resource for anyone looking to learn about data science in an accessible and straightforward way. Key features include: Introduction to data science History of data science Data science life-cycle Data science tools and technologies Data science methodology Data science models Developing data science business strategy Managing data science projects Becoming a data scientist, data engineer etc. Big data Data Mining Artificial intelligence Machine learning Deep learning Neural networks Mathematical analysis Statistical modelling Understanding the fundamentals of data science programming languages Database structures and principles Robotic Process Automation Data science acronyms You need to know And a lot more.

Artificial Intelligence with Python

Author : Prateek Joshi
Publisher : Packt Publishing Ltd
ISBN 13 : 1786469677
Total Pages : 437 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Artificial Intelligence with Python by : Prateek Joshi

Download or read book Artificial Intelligence with Python written by Prateek Joshi and published by Packt Publishing Ltd. This book was released on 2017-01-27 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

Mastering ChatGPT

Author : Alex Harper
Publisher : Alex Harper
ISBN 13 :
Total Pages : 106 pages
Book Rating : 4./5 ( download)

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Book Synopsis Mastering ChatGPT by : Alex Harper

Download or read book Mastering ChatGPT written by Alex Harper and published by Alex Harper. This book was released on with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mastering ChatGPT: A Simplified Beginner's Guide for Developers and Enthusiasts from Newbie to Pro Level with Ease Unlock the Power of AI with Ease! Do you want to explore the world of artificial intelligence but don't know where to begin? Are you interested in mastering ChatGPT, one of the most advanced AI models, without getting overwhelmed? This book is perfect for you! "Mastering ChatGPT: A Simplified Beginner's Guide for Developers and Enthusiasts from Newbie to Pro Level with Ease" is your step-by-step guide to understanding and using ChatGPT. It will take you from a complete beginner to a skilled user. Why This Book? In today’s tech-driven world, knowing how to use AI is becoming essential. Whether you're a developer wanting to add AI to your projects, a tech enthusiast curious about AI, or a professional looking to improve your skills, this book is for you. Alex Harper explains everything in simple language, making it easy to understand even the most complex ideas. What’s Inside? Foundations of ChatGPT: · Learn the basics of ChatGPT, why it matters, and how conversational AI has developed over the years. Setting Up and Getting Started: · Discover what you need to get started, how to access ChatGPT, and how to set it up for the first time. Understanding ChatGPT's Architecture: · Dive into the science behind ChatGPT, including neural networks, transformers, and how ChatGPT is trained. Customizing and Fine-Tuning ChatGPT: · Learn how to create your own datasets, fine-tune the model, and deploy customized versions of ChatGPT. Practical Applications and Use Cases: · Explore how ChatGPT can be used in real-world scenarios like customer service, content creation, and education. Advanced Programming Techniques: · Get to know advanced scripting, using the API, and integrating ChatGPT with other machine learning models. Integrating ChatGPT with Other Systems: · Learn how to integrate ChatGPT into web and mobile applications and ensure it works across different platforms. Troubleshooting and Optimization: · Find out how to fix common problems, improve performance, and keep your ChatGPT implementation running smoothly. Ethical and Responsible Use: · Understand the ethical considerations and best practices for using AI responsibly. Future Developments and Innovations: · Stay informed about the future of conversational AI and upcoming trends. Who Should Read This Book? Developers: Want to add AI to your projects? This book gives you the knowledge and tools you need. Enthusiasts: Curious about AI? This book explains everything in a way that’s easy to understand. Professionals: Improve your skills and stay competitive by mastering the latest in AI technology. Take the First Step towards Mastery Join the AI revolution and understand how to use ChatGPT with "Mastering ChatGPT." With clear explanations, practical examples, and a structured learning path, this book helps you unlock the full potential of ChatGPT. Don’t miss out on the chance to become skilled in AI. Get your copy today and easily start your journey from beginner to pro! Order now and begin your journey to mastering ChatGPT today!

Build a Career in Data Science

Author : Emily Robinson
Publisher : Manning Publications
ISBN 13 : 1617296244
Total Pages : 352 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Build a Career in Data Science by : Emily Robinson

Download or read book Build a Career in Data Science written by Emily Robinson and published by Manning Publications. This book was released on 2020-03-24 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder

From Zero to Data Hero

Author : Andrew Wu
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.9/5 (895 download)

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Book Synopsis From Zero to Data Hero by : Andrew Wu

Download or read book From Zero to Data Hero written by Andrew Wu and published by . This book was released on 2023-11-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you're kickstarting your journey or deepening your expertise, this book unveils the power of ChatGPT's advanced tools for data analysis, visualization, machine learning, and even the nuances of deep learning.

Data Science from Scratch

Author : Joel Grus
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491904402
Total Pages : 330 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Data Science from Scratch by : Joel Grus

Download or read book Data Science from Scratch written by Joel Grus and published by "O'Reilly Media, Inc.". This book was released on 2015-04-14 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

Data Science for Beginners

Author : Alex Campbell
Publisher :
ISBN 13 :
Total Pages : 86 pages
Book Rating : 4.5/5 (938 download)

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Book Synopsis Data Science for Beginners by : Alex Campbell

Download or read book Data Science for Beginners written by Alex Campbell and published by . This book was released on 2021-01-12 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you wonder what the fascination is around data these days? How do we obtain insights from this data? Do you know what a data scientist does? What is artificial intelligence and machine learning? Are these the same as data science? What does it take to become a data scientist? If you have ever wondered about these questions, you have come to the right place!There are many resources and courses online that you can use to learn more about data science, but with so much information available, it can become overwhelming. One of the best ways to learn about data science is to understand different machine learning concepts, statistics, and artificial intelligence to help you design models to perform an analysis.This book has all the information you need to learn what data science is, and what the prerequisites are to become a data scientist. If you're a beginner or if you already have experience in data science, this book will have something for you.In this book, you will: Learn what data science is about.Discover the difference between data science and business intelligence.Explore the tools required for data science.Find out the technical and non-technical skills every data scientist must have.Figure out how to create a visualization of the data set with clear and easy examples.Get advice on developing a Predictive Model Using R.Uncover detailed applications of data science.And much more!The book has been structured with easy-to-understand sections to help you learn everything you need to know about data science. In this book you will learn about the prerequisites of data science and the skills you need to become a data scientist. So, what are you waiting for? Grab your copy of this comprehensive guide now

Unlocking the Potential of OpenAI's ChatGPT

Author : DAVID YAO
Publisher : Edeo & LEGOO Mandarin
ISBN 13 :
Total Pages : 73 pages
Book Rating : 4./5 ( download)

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Book Synopsis Unlocking the Potential of OpenAI's ChatGPT by : DAVID YAO

Download or read book Unlocking the Potential of OpenAI's ChatGPT written by DAVID YAO and published by Edeo & LEGOO Mandarin. This book was released on with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you heard of OpenAI's ChatGPT, but have no idea what it is or how to use it? Look no further! This book provides a comprehensive introduction to this revolutionary language model. In this book, the author takes you through the history of ChatGPT and its capabilities, as well as its practical applications in fields such as customer service, content creation, and data analysis. You'll also learn how ChatGPT works and what sets it apart from other language models. But that's not all - the book also provides hands-on examples and tutorials to help you put your newfound knowledge into practice. The author will also address the limitations of the model and provide tips on how to achieve optimal results. Whether you're a data scientist, business owner, or student, this book is a must-read for anyone looking to understand and utilize the power of ChatGPT. With its comprehensive understanding of ChatGPT and its potential to transform the way we work and learn, this book is sure to be a valuable resource. So why wait? Get your hands on a copy today and let OpenAI's ChatGPT work for you!

Artificial Intelligence in Finance

Author : Yves Hilpisch
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492055387
Total Pages : 478 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Artificial Intelligence in Finance by : Yves Hilpisch

Download or read book Artificial Intelligence in Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2020-10-14 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about

Artificial Intelligence For Dummies

Author : John Paul Mueller
Publisher : John Wiley & Sons
ISBN 13 : 1119467586
Total Pages : 60 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Artificial Intelligence For Dummies by : John Paul Mueller

Download or read book Artificial Intelligence For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2018-03-16 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step into the future with AI The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it’s being used today. Inside, you’ll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. Learn about what AI has contributed to society Explore uses for AI in computer applications Discover the limits of what AI can do Find out about the history of AI The world of AI is fascinating—and this hands-on guide makes it more accessible than ever!

SQL for Data Scientists

Author : Renee M. P. Teate
Publisher : Wiley
ISBN 13 : 9781119669364
Total Pages : 288 pages
Book Rating : 4.6/5 (693 download)

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Book Synopsis SQL for Data Scientists by : Renee M. P. Teate

Download or read book SQL for Data Scientists written by Renee M. P. Teate and published by Wiley. This book was released on 2021-09-15 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that’s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn’t cover SQL broadly. Instead, you’ll learn the subset of SQL skills that data analysts and data scientists use frequently. You’ll also gain practical advice and direction on "how to think about constructing your dataset." Gain an understanding of relational database structure, query design, and SQL syntax Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms Review strategies and approaches so you can design analytical datasets Practice your techniques with the provided database and SQL code In this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioner’s perspective, moving your data scientist career forward!

Data Science from Scratch

Author : Steve Geddis
Publisher : Independently Published
ISBN 13 : 9781671480513
Total Pages : 160 pages
Book Rating : 4.4/5 (85 download)

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Book Synopsis Data Science from Scratch by : Steve Geddis

Download or read book Data Science from Scratch written by Steve Geddis and published by Independently Published. This book was released on 2019-12-04 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: New technologies have made the interconnection and the collection of data easily accessible to everyone. Data are thus no longer just information, but rather a resource with a huge economic value that is growing exponentially. Data science, Big Data, Artificial Intelligence, Machine learning, and Deep Learning are the most popular tech buzzwords nowadays and this scenario is shaping a range of new professionals, known as Data Scientists, who are one of the most in-demand profiles. If you are willing to understand more, this book is here to guide you. By reading Data Science from Scratch you will discover : Why Data Science and other new technologies are crucial today; Interesting background information about what you need to become a Data Scientist; Which are the most important activities in Data Analysis; Several tips about the data visualization and the processing; Several Tools and techniques used in Data Science and in other technologies such as Artificial Intelligence, Machine Learning, Big Data; Practical applications; And much, much more....... Begin your data science journey and make sure you get the most comprehensive data science training available by clicking on the BUY NOW button!

Data Scientist

Author : Zacharias Voulgaris
Publisher :
ISBN 13 : 9781935504696
Total Pages : 0 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Data Scientist by : Zacharias Voulgaris

Download or read book Data Scientist written by Zacharias Voulgaris and published by . This book was released on 2014-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn what a data scientist is and how to become one. As our society transforms into a data-driven one, the role of the Data Scientist is becoming more and more important. If you want to be on the leading edge of what is sure to become a major profession in the not-too-distant future, this book can show you how. Each chapter is filled with practical information that will help you reap the fruits of big data and become a successful Data Scientist: Learn what big data is and how it differs from traditional data through its main characteristics: volume, variety, velocity, and veracity. Explore the different types of Data Scientists and the skillset each one has. Dig into what the role of the Data Scientist requires in terms of the relevant mindset, technical skills, experience, and how the Data Scientist connects with other people. Be a Data Scientist for a day, examining the problems you may encounter and how you tackle them, what programs you use, and how you expand your knowledge and know-how. See how you can become a Data Scientist, based on where you are starting from: a programming, machine learning, or data-related background. Follow step-by-step through the process of landing a Data Scientist job: where you need to look, how you would present yourself to a potential employer, and what it takes to follow a freelancer path. Read the case studies of experienced, senior-level Data Scientists, in an attempt to get a better perspective of what this role is, in practice. At the end of the book, there is a glossary of the most important terms that have been introduced, as well as three appendices - a list of useful sites, some relevant articles on the web, and a list of offline resources for further reading.

Naked Statistics: Stripping the Dread from the Data

Author : Charles Wheelan
Publisher : W. W. Norton & Company
ISBN 13 : 0393089827
Total Pages : 320 pages
Book Rating : 4.3/5 (93 download)

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Book Synopsis Naked Statistics: Stripping the Dread from the Data by : Charles Wheelan

Download or read book Naked Statistics: Stripping the Dread from the Data written by Charles Wheelan and published by W. W. Norton & Company. This book was released on 2013-01-07 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

Advanced Python Development

Author : Matthew Wilkes
Publisher : Apress
ISBN 13 : 9781484257920
Total Pages : 345 pages
Book Rating : 4.2/5 (579 download)

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Book Synopsis Advanced Python Development by : Matthew Wilkes

Download or read book Advanced Python Development written by Matthew Wilkes and published by Apress. This book was released on 2020-08-09 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book builds on basic Python tutorials to explain various Python language features that aren’t routinely covered: from reusable console scripts that play double duty as micro-services by leveraging entry points, to using asyncio efficiently to collate data from a large number of sources. Along the way, it covers type-hint based linting, low-overhead testing and other automated quality checking to demonstrate a robust real-world development process. Some powerful aspects of Python are often documented with contrived examples that explain the feature as a standalone example only. By following the design and build of a real-world application example from prototype to production quality you'll see not only how the various pieces of functionality work but how they integrate as part of the larger system design process. In addition, you'll benefit from the kind of useful asides and library recommendations that are a staple of conference Q&A sessions at Python conferences as well as discussions of modern Python best practice and techniques to better produce clear code that is easily maintainable. Advanced Python Development is intended for developers who can already write simple programs in Python and want to understand when it’s appropriate to use new and advanced language features and to do so in a confident manner. It is especially of use to developers looking to progress to a more senior level and to very experienced developers who have thus far used older versions of Python. What You'll Learn Understand asynchronous programming Examine developing plugin architectures Work with type annotations Review testing techniques Explore packaging and dependency management Who This Book Is For Developers at the mid to senior level who already have Python experience.