football analytics with python r eric eager richard erickson
Football Analytics with Python & R - Eric Eager, Richard Erickson
Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. This concise book provides a clear introduction to using statistical models to analyze football data.
Objev podobné jako Football Analytics with Python & R - Eric Eager, Richard Erickson
Data Analysis with Python - Rituraj Dixit
An Absolute Beginner''s Guide to Learning Data Analysis Using Python, a Demanding Skill for TodayKey FeaturesHands-on learning experience of Python''s fundamentals.Covers various examples of how to code end-to-end data analysis with easy illustrations.An excellent starting point to begin your data analysis journey with Python programming.DescriptionIn an effort to provide content for beginners, the book Data Analysis with Python provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects.Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python''s built-in data analysis capabilities.What you will learnLearn the fundamentals of core Python programming for data analysis.Master Python''s most demanding data analysis and visualization libraries, ... Unknown localization key: "more"
Objev podobné jako Data Analysis with Python - Rituraj Dixit
Starting Out with Python, Global Edition - Tony Gaddis
For courses in Python programming. A clear and student-friendly introduction to Python Starting Out with Python® introduces programming concepts and problem-solving skills using Tony Gaddis'' accessible approach. Control structures are discussed before classes to familiarize new programmers with the fundamentals. Every chapter includes easy-to-read code listings, practical examples, and application exercises to help students gain confidence in their skills and learn to recognize the logic of developing high-quality programs. The 6th Edition is thoroughly updated with new language features and functionality for versions of Python up through Python 3.9. Hallmark features of this title Student-friendly presentation Written for novice programmers, Gaddis uses easy-to-understand language to introduce concepts. Control structures are explained, then classes and GUI applications. Optional turtle graphics sections are extremely effective at teaching the procedural steps of programming to beginners. Student-focused features Hundreds of example programs explore specific topics or more involved problem solving. Students can run the programs themselves using the source code. In the Spotlight case studies analyze how to solve a programming problem in step-by-step detail. Checkpoints and review questions let students test their understanding at regular intervals. Programming exercises offer hands-on practice opportunities at the end of each chapter. New and updated features of ... Unknown localization key: "more"
Objev podobné jako Starting Out with Python, Global Edition - Tony Gaddis
Beginning Programming with Python For Dummies - John Paul Mueller
Create simple, easy programs in the popular Python language Beginning Programming with Python For Dummies is the trusted way to learn the foundations of programming using the Python programming language. Python is one of the top-ranked languages, and there’s no better way to get started in computer programming than this friendly guide. You’ll learn the basics of coding and the process of creating simple, fun programs right away. This updated edition features new chapters, including coverage of Google Colab, plus expanded information on functions and objects, and new examples and graphics that are relevant to today’s beginning coders. Dummies helps you discover the wealth of things you can achieve with Python. Employ an online coding environment to avoid installation woes and code anywhere, any time Learn the basics of programming using the popular Python language Create easy, fun projects to show off your new coding chops Fix errors in your code and use Python with external data sets Beginning Programming with Python For Dummies will get new programmers started—the easy way.Â
Objev podobné jako Beginning Programming with Python For Dummies - John Paul Mueller
Predictive Modelling for Football Analytics - Dimitris Karlis, Leonardo Egidi, Ioannis Ntzoufras
Discusses well-known models and main computational tools for the football analytics domain. Introduces footBayes R package that accompanies the reader through all examples proposed in the book.
Objev podobné jako Predictive Modelling for Football Analytics - Dimitris Karlis, Leonardo Egidi, Ioannis Ntzoufras
Practice of Computing Using Python, The, Global Edition - Richard Enbody, William Punch
For courses in Python Programming Now in its 3rd Edition, Practice of Computing Using Python continues to introduce both majors and non-majors taking CS1 courses to computational thinking using Python, with a strong emphasis on problem solving through computer science. The authors have chosen Python for its simplicity, powerful built-in data structures, advanced control constructs, and practicality. The text is built from the ground up for Python programming, rather than having been translated from Java or C++. Focusing on data manipulation and analysis as a theme, the text allows students to work on real problems using Internet-sourced or self-generated data sets that represent their own work and interests. The authors also emphasise program development and provide both majors and non-majors with a practical foundation in programming that will be useful in their respective fields. Among other changes, the 3rd Edition incorporates a switch to the Anaconda distribution, the SPYDER IDE, and a focus on debugging and GUIs.
Objev podobné jako Practice of Computing Using Python, The, Global Edition - Richard Enbody, William Punch
Statistical Analysis with Python For Dummies - Joseph Schmuller
Wrangle stats as you learn how to graph, analyze, and interpret data with Python Statistical Analysis with Python For Dummies introduces you to the tool of choice for digging deep into data to inform business decisions. Even if you're new to coding, this book unlocks the magic of Python and shows you how to apply it to statistical analysis tasks. You'll learn to set up a coding environment and use Python's libraries and functions to mine data for correlations and test hypotheses. You'll also get a crash course in the concepts of probability, including graphing and explaining your results. Part coding book, part stats class, part business analyst guide, this book is ideal for anyone tasked with squeezing insight from data. Get clear explanations of the basics of statistics and data analysisLearn how to summarize and analyze data with Python, step by stepImprove business decisions with objective evidence and analysisExplore hypothesis testing, regression analysis, and prediction techniques This is the perfect introduction to Python for students, professionals, and the stat-curious.
Objev podobné jako Statistical Analysis with Python For Dummies - Joseph Schmuller
Doing Math with Python - Amit Saha
Doing Math with Python shows you how to use Python to delve into high school level math topics like statistics, geometry, probability, and calculus. You ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you ve gotten the hang of things. Along the way, you ll discover new ways to explore math and gain valuable programming skills that you ll use throughout your study of math and computer science. Learn how to: Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots Explore set theory and probability with programs for coin flips, dicing, and other games of chance Solve algebra problems using Python s symbolic math functions Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set Write programs to find derivatives and integrate functions Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You ll write an inequality solver, plot gravity s effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing ... Unknown localization key: "more"
Objev podobné jako Doing Math with Python - Amit Saha
Artificial Intelligence Programming with Python - Perry Xiao
A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learningExpansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learningPractical AI and Python “cheat sheet†quick referencesThis hands-on AI programming guide is perfect for anyone with a basic knowledge of programming—including familiarity with variables, arrays, loops, if-else statements, and file input and output—who seeks to understand foundational concepts in AI and AI development.
Objev podobné jako Artificial Intelligence Programming with Python - Perry Xiao
Automate the Boring Stuff with Python Workbook - Al Sweigart
Al Sweigart''s classic coding book Automate the Boring Stuff with Python, now in its third edition, has taught more than half a million readers how to dispense with tedious tasks using the Python programming language. In this hands-on companion workbook, Sweigart gives those readers - and any Python programming beginner - hundreds of new ways to practice what they''ve learned. Through a wide variety of exercises, readers will test their understanding of programming concepts, face down tricky challenges, and explore use cases of common techniques. The workbook''s creative projects encourage readers to build games, animations, and digital tools, offering novel ways to think about Python''s applications in their everyday life. Covers Python 3.x and its ecosystem of third-party libraries.
Objev podobné jako Automate the Boring Stuff with Python Workbook - Al Sweigart
Simulation with Python - Aiichiro Nakano, Rongpeng Li
Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python.What You''ll LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve real-world problems Who This Book Is ForEntry-level to mid-level Python developers from various backgrounds, including backend developers, academic research programmers, data scientists, and machine learning engineers. The book is also useful to high school students and college undergraduates and graduates with STEM backgrounds.
Objev podobné jako Simulation with Python - Aiichiro Nakano, Rongpeng Li
Automate the Boring Stuff with Python, 3rd Edition - Al Sweigart
If you''ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In this fully revised edition of the best-selling classic Automate the Boring Stuff with Python, you''ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand - no prior programming experience required. You''ll learn the basics of coding in Python and explore the language''s rich library of modules for performing specific tasks, like scraping data from websites, searching for text across multiple files, and merging, watermarking, or encrypting PDFs. The third edition includes: Expanded coverage of developer techniques, like creating command line programs; Updated examples and new projects; Additional chapters about working with SQLite databases, speech-recognition technology, video and audio editing, and text-to-speech capabilities; Simplified explanations (based on reader feedback) of beginner programming concepts, like loops and conditionals. Even if you''ve never written a line of code, Automate the Boring Stuff with Python, 3rd Edition will teach you how to make your computer take on tedious tasks and do all your grunt work - the ... Unknown localization key: "more"
Objev podobné jako Automate the Boring Stuff with Python, 3rd Edition - Al Sweigart
Coding with Python - Create Amazing Graphics - Max Wainewright
Coding with Python – Create Amazing Graphics introduces coding in Python through a variety of projects. Each one teaches new coding concepts and results in some amazing graphics.Python is a powerful, text-based programming language essential to grasp for serious coding but can be dull to learn. This book focuses on inspired learning. Step-by-step, it illustrates how to use Python code to create exciting and colourful graphics — making learning Python great fun!Learn Python code to:Use random numbers to create unique artworkMix colours together using variables to create amazing effectsUse loops to repeat your code and create intricate patternsCode your own functions and build up your own designs
Objev podobné jako Coding with Python - Create Amazing Graphics - Max Wainewright
Programming with Python for Engineers - Gokturk Ucoluk, Sinan Kalkan, Onur T. Sehitoglu
This book introduces computing and programming with undergraduate engineering students in mind. It uses Python (Version 3) as the programming language, chosen for its simplicity, readability, wide applicability and large collection of libraries. After introducing engineering-related Python libraries, such as NumPy, Pandas, Matplotlib, Sci-kit, Programming with Python for Engineers shows how Python can be used to implement methods common in a wide spectrum of engineering-related problems drawn from (for example): design, control, decision-making, scheduling and planning. Important features of the book include the following:   The book contains interactive content for illustration of important concepts, where the user can provide input and by clicking buttons, trace through the steps. Each chapter is also accessible as a Jupyter Notebook page and every code piece is executable. This allows the readers to run code examples in chapters immediately, to make changes and gain a better grasp of the concepts presented.     The coverage of topics is complemented by illustrative examples and exercises. For instructors adopting the textbook, a solutions manual is provided at https://sites.google.com/springernature.com/extramaterial/lecturer-material.
Objev podobné jako Programming with Python for Engineers - Gokturk Ucoluk, Sinan Kalkan, Onur T. Sehitoglu
Statistics and Data Visualisation with Python - Jesus Rogel-Salazar
This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical analysis in general. On the one hand, the book is intended to be a refresher for readers who have taken some courses in statistics, but who have not necessarily used it in their day-to-day work. On the other hand, the material can be suitable for readers interested in the subject as a first encounter with statistical work in Python. Statistics and Data Visualisation with Python aims to build statistical knowledge from the ground up by enabling the reader to understand the ideas behind inferential statistics and begin to formulate hypotheses that form the foundations for the applications and algorithms in statistical analysis, business analytics, machine learning, and applied machine learning. This book begins with the basics of programming in Python and data analysis, to help construct a solid basis in statistical methods and hypothesis testing, which are useful in many modern applications.
Objev podobné jako Statistics and Data Visualisation with Python - Jesus Rogel-Salazar
Cracking Codes With Python - Al Sweigart
Cracking Secret Codes with Python is a hands-on introduction to Python that teaches readers how to make and hack cipher programs, which are used to encrypt secret messages. It covers ciphers like the Caesar cipher, transposition cipher, and the RSA cipher, and teaches readers how to test and hack them. For every program, Sweigart provides the full source code and then walks readers through it, explaining how every line works. Along the way, readers will learn Python fundamentals - and by the book''s end, they''ll have a solid foundation in Python and some fun programs under their belt.
Objev podobné jako Cracking Codes With Python - Al Sweigart
Make Games with Python - Sean M Tracey
Learning to code your own shoot-''em-up is infinitely more satisfying than beating any end-of-level bossWhile countless millions of us like nothing more than spending hours racking up high scores on our favourite games, too few of us are exposed to an even more gratifying way to spend the evening - making them. It''s far from easy. Master essential game-making skills:Creating shapes and pathsMovement and animationUsing the keyboard and mouseAdding sound and musicSimulating physics and forcesBuilding classes for actorsCreating your own shoot-em ''upEach chapter will add to your knowledge of Python game development, allowing you both to understand the games you play, and to create almost anything your imagination can come up with.This book is designed to help you learn many of the essential skills you''ll need to make games with Python and Pygame, and you''ll learn valuable coding skills along the way.This book isn''t for absolute programming beginners, but it''s not far from it. If you''ve written some simple Python (or similar) programs in the past, and are able to do things like creating files and get around your computer''s filesystem without too much difficulty, then you''re ready to get started.
Objev podobné jako Make Games with Python - Sean M Tracey
Foundations of Data Science with Python - John M. Shea
Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a ... Unknown localization key: "more"
Objev podobné jako Foundations of Data Science with Python - John M. Shea
The Object-Oriented Approach to Problem Solving and Machine Learning with Python - Maha Hadid, Sujith Samuel Mathew, Shahbano Farooq, Mohammad Amin K
This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications.Start by solidifying your OOP foundation with clear explanations of core concepts like use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub.This book doesn''t stop at the basics. Explore how OOP empowers fields like data persistence, graphical user interfaces (GUIs), machine learning, and data science, including social media analysis. Learn about machine learning algorithms for classification, regression, and unsupervised learning, putting you at the forefront of AI innovation.Each chapter is designed for hands-on learning. You''ll solidify your understanding with case studies, exercises, and projects that apply your newfound knowledge to real-world scenarios. The progressive structure ensures mastery, with each chapter building on the previous one, reinforced by exercises and projects.Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of machine learning and data science.
Objev podobné jako The Object-Oriented Approach to Problem Solving and Machine Learning with Python - Maha Hadid, Sujith Samuel Mathew, Shahbano Farooq, Mohammad Amin K
Automate the Boring Stuff with Python, 2nd Edition - Al Sweigart
In this second edition of Automate the Boring Stuff with Python, you''ll learn the basics of programming in Python, the fastest growing programming language today, before moving on to create Python programs that effortlessly perform useful and impressive feats of automation. This updated edition is full of step-by-step instructions that walk through each programme. Practice projects at the end of each chapter challenge you to improve those programmes and use your newfound skills to automate similar tasks.
Objev podobné jako Automate the Boring Stuff with Python, 2nd Edition - Al Sweigart
Honest Advent - Scott Erickson
In a world that''s difficult to make sense of, and a season that''s so often overtaken by consumerism, here you''ll find heart-stirring illustrations and thought-provoking meditations designed to show you the raw, powerfully sacred story of Christmas in a new light.Has the joy of the holiday season become painfully dissonant with the hard edges of life? Do you feel weary from the way Christmas has become a polished, predictable brand? You aren''t alone. For too many of us, Christmas has lost its wonder. What if we stopped treating the Christmas story as something that happened a long time ago and started believing that it''s a story that''s still happening today?From celebrated artist and storyteller Scott Erickson comes Honest Advent, 25 days of illustrations and meditations that will help you rekindle the wonder of this season. Honest Advent creates a space for you to encounter the Incarnate Christ in unexpected places: like a pregnancy announcement in an era of political unrest and empirical bloodshed, the morning sickness of a Middle Eastern teenager, and the shocking biology of birth that goes far beyond the sanitized brand of Christmas as we know it today.Within the pages of Honest Advent, Erickson teaches us the ... Unknown localization key: "more"
Objev podobné jako Honest Advent - Scott Erickson
Introduction to Digital Music with Python Programming - Cameron Roberts, Michael S. Horn, Melanie West
Introduction to Digital Music with Python Programming provides a foundation in music and code for the beginner. It shows how coding empowers new forms of creative expression while simplifying and automating many of the tedious aspects of production and composition.With the help of online, interactive examples, this book covers the fundamentals of rhythm, chord structure, and melodic composition alongside the basics of digital production. Each new concept is anchored in a real-world musical example that will have you making beats in a matter of minutes.Music is also a great way to learn core programming concepts such as loops, variables, lists, and functions, Introduction to Digital Music with Python Programming is designed for beginners of all backgrounds, including high school students, undergraduates, and aspiring professionals, and requires no previous experience with music or code.
Objev podobné jako Introduction to Digital Music with Python Programming - Cameron Roberts, Michael S. Horn, Melanie West
The Quick Python Book, Fourth Edition - Naomi Ceder
A fast-paced introduction to Python for intermediate developers–now with coverage of generative AI!For over 25 years, The Quick Python Book has been one of the best Python books money can buy. It concisely covers programming basics, while introducing Python''s comprehensive standard library and unique features in depth and detail. In this fourth edition, you''ll find new coverage of AI coding tools like Copilot and Google''s Colaboratory (Colab), and develop a mindset that can make the most of AI. The Quick Python Book, Fourth Edition includes: Python syntax, data structures, and best practices Python as an object oriented language Common Python libraries Basic data handling with Python Using AI code generation tools with Python Whether you''re new to Python or looking to advance your basic skills, The Quick Python Book, Fourth Edition will get you writing effective Python code fast. Python authority and former Chair of the Python Software Foundation Board or Directors Naomi Ceder has returned to author this extensively revised fourth edition. With the personal touch of a skilled teacher, Naomi beautifully balances details of the language with the insights and advice you need to handle any task. About the technology: System automation. High-performance web apps. Cloud and back-end ... Unknown localization key: "more"
Objev podobné jako The Quick Python Book, Fourth Edition - Naomi Ceder
Cambridge IGCSEâ„¢ and O Level Computer Science Programming Book for Python with Digital Access (2 Years) - Chris Roffey
This series supports learners through the Cambridge IGCSE™ and O Level Computer Science syllabuses (0478/0984/2210). Develop skills and confidence with our programming book for Python. Created to support students undertaking the Cambridge IGCSE™ and O Level Computer Science syllabuses, this resource provides tailored support when programming with Python. A three-tiered approach to programming tasks across the book provides scaffolded support for students of all levels of understanding. Answers are accessible in the ''Solutions'' chapter in the digital part of the resource on the Cambridge GO platform, enabling students to practise their programming skills in class or at home.
Objev podobné jako Cambridge IGCSEâ„¢ and O Level Computer Science Programming Book for Python with Digital Access (2 Years) - Chris Roffey
Geographic Data Science with Python - Dani Arribas-Bel, Sergio Rey, Levi John Wolf
This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of thinking about analysis, by using geographical and computational reasoning, it shows the reader how to unlock new insights hidden within data.Key Features:â— Showcases the excellent data science environment in Python.â— Provides examples for readers to replicate, adapt, extend, and improve.â— Covers the crucial knowledge needed by geographic data scientists.It presents concepts in a far more geographic way than competing textbooks, covering spatial data, mapping, and spatial statistics whilst covering concepts, such as clusters and outliers, as geographic concepts.Intended for data scientists, GIScientists, and geographers, the material provided in this book is of interest due to the manner in which it presents geospatial data, methods, tools, and practices in this new field.
Objev podobné jako Geographic Data Science with Python - Dani Arribas-Bel, Sergio Rey, Levi John Wolf
Python Workout - Reuven Lerner
Python Workout presents 50 exercises designed to deepen the reader’s skill with Python. Readers will not only tackle exercises using built-in data structures, but also more advanced techniques, such as functional programming, object-oriented programming, iterators, and generators. With each engaging challenge, readers will practice a new skill and learn how to apply it to everyday coding tasks. Key Features 50 hands-on exercises and solutions Basic Python sequence types Python dictionaries and sets Functional programming in Python Creating your own classes Working with Python objects Generator functions Intended for readers with basic Python skills. About the technology Python is a versatile, elegant, general purpose programming language. Essential for data analysis, web development, artificial intelligence, games, desktop apps, and more, Python skills are a hot commodity. Reuven M. Lerner, an independent consultant for more than two decades, teaches Python, data science, and Git to companies around the world. His Better developers newsletter and blog are read by thousands of Python developers each week. Reuven has written a monthly column, “At the Forge,†for Linux Journal since 1996 and is a panellist on the weekly Freelancers Show podcast. Reuven lives with his wife and three children in Modi’in, Israel, and can be reached ... Unknown localization key: "more"
Objev podobné jako Python Workout - Reuven Lerner
Python in Excel Step-by-Step - David Langer
An intuitive guide for professionals wanting to prepare for the future of Microsoft Excel by building Python in Excel skills and unleashing the power of their data. A hands-on guide to the foundational Python in Excel skills you’ll need to understand and use this powerful analytics tool, Python in Excel Step-by-Step is for current Excel users interested in expanding their data analysis skillset with Python. Analytics educator and Microsoft Excel MVP David Langer demonstrates how to use Python in Excel, to unlock new analytics capabilities in Excel, and build your foundation for the future of Excel: do-it-yourself (DIY) data science. The book leverages your existing Excel knowledge to learn the Python foundation you can apply right away. This is the same approach David has used to successfully teach more than 1,000 professionals Python – even if you’ve never written code before. David also includes: Targeted coverage of the Python fundamentals required for analytics – learn just what you need fastHow to use the powerful pandas and plotnine libraries to facilitate data manipulation and visualization using Python in ExcelA DIY data science roadmap for you to build the skills you need to unleash the power of your data to have more ... Unknown localization key: "more"
Objev podobné jako Python in Excel Step-by-Step - David Langer
Learn Enough Python to Be Dangerous - Michael Hartl
All You Need to Know, and Nothing You Don''t, to Solve Real Problems with Python Python is one of the most popular programming languages in the world, used for everything from shell scripts to web development to data science. As a result, Python is a great language to learn, but you don''t need to learn "everything" to get started, just how to use it efficiently to solve real problems. In Learn Enough Python to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need to be professionally productive. Even if you''ve never programmed before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Hartl introduces Python both as a general-purpose language and as a specialist tool for web development and data science, presenting focused examples and exercises that help you internalize what matters, without wasting time on details pros don''t care about. Soon, it''ll be like you were born knowing this stuff--and you''ll be suddenly, seriously dangerous. Learn enough about . . . Applying core Python concepts with the interactive interpreter and command line Writing object-oriented code with Python''s native objects Developing and publishing self-contained Python packages Using elegant, ... Unknown localization key: "more"
Objev podobné jako Learn Enough Python to Be Dangerous - Michael Hartl
Linear Algebra for Data Science with Python - John M. Shea
Learn how to use Python and associated data-science libraries to work with and visualize vectors and matrices and their operations, as well import data to apply these techniques. Learn basics of performing vector and matrix operations by hand, how to use several different Python libraries for performing operations.
Objev podobné jako Linear Algebra for Data Science with Python - John M. Shea
The Practical Guide to HR Analytics - Lindsay McFarlane, Valerie Streets, Shonna D. Waters PhD, Rachael Johnson-Murra
The need for HR professionals to understand and apply data analytics is greater than ever. Today’s successful HR professionals must ask insightful questions, understand key terms, and intelligently apply data, but may lack a clear understanding of the many forms, types, applications, interpretations, and capabilities of HR analytics.HR Analytics provides a practical approach to using data to solve real HR challenges in organizations and demystifies analytics with clear guidelines and recommendations for making the business case, starting an HR analytics function, avoiding common pitfalls, presenting data through visualization and storytelling, and much more.
Objev podobné jako The Practical Guide to HR Analytics - Lindsay McFarlane, Valerie Streets, Shonna D. Waters PhD, Rachael Johnson-Murra
Python Automation For Dummies - Alan Simpson
Streamline Your Workflow and Boost Productivity with Python Automation In today's workplaces, there's a high demand for know-how on the Python programming language, especially for writing time-saving scripts that can simplify routine work tasks. Python Automation For Dummies delivers, with simple explanations of how you can use Python to automatically wrangle data files, manage media files, create shortcuts, find and organize web data, and even analyze social media for trends. With this easy-to-follow Dummies guide, you can upskill, expand your productivity, and speed up the process of generating data-driven insights. You'll even learn to enhance your Python automations with AI, for workflows that are faster and smarter. Review the basics of Python coding and follow steps for automating all sorts of tasksManage large file sets, organize and analyze data, and speed up research processesAutomate scheduling and other time-consuming tasks—and optimize work with AIFree up time and resources by automating routine work, so you can foucs on more important issues This is a great Dummies resource for Python developers interested in applying the popular coding language to make workflows more efficient.
Objev podobné jako Python Automation For Dummies - Alan Simpson
A Hands-On Introduction to Data Science with Python - Chirag Shah
Develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with an exclusive focus on the popular data science tool Python. The book includes many examples of real-life applications, with practice ranging from small to big data.
Objev podobné jako A Hands-On Introduction to Data Science with Python - Chirag Shah
Python Network Programming Cookbook - - Dr. M. O. Faruque Sarker, Pradeeban Kathiravelu
Discover practical solutions for a wide range of real-world network programming tasksAbout This Book• Solve real-world tasks in the area of network programming, system/networking administration, network monitoring, and more. • Familiarize yourself with the fundamentals and functionalities of SDN• Improve your skills to become the next-gen network engineer by learning the various facets of Python programmingWho This Book Is ForThis book is for network engineers, system/network administrators, network programmers, and even web application developers who want to solve everyday network-related problems. If you are a novice, you will develop an understanding of the concepts as you progress with this book. What You Will Learn• Develop TCP/IP networking client/server applications• Administer local machines' IPv4/IPv6 network interfaces• Write multi-purpose efficient web clients for HTTP and HTTPS protocols• Perform remote system administration tasks over Telnet and SSH connections• Interact with popular websites via web services such as XML-RPC, SOAP, and REST APIs• Monitor and analyze major common network security vulnerabilities• Develop Software-Defined Networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX Controllers• Emulate simple and complex networks with Mininet and its extensions for network and systems emulations• Learn to configure and build network systems and Virtual Network Functions (VNF) in heterogeneous deployment environments• Explore ... Unknown localization key: "more"
Objev podobné jako Python Network Programming Cookbook - - Dr. M. O. Faruque Sarker, Pradeeban Kathiravelu
Python Crash Course: 3rd Edition (9781718502703)
Kniha - autor Eric Matthes, 544 stran, anglicky, brožovaná bez přebalu matná Python Crash Course is the world’s bestselling programming book, with over 1,500,000 copies sold to date! Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction will have you writing programs, solving problems, and developing functioning applications in no time. You’ll start by learning basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You’ll also learn how to make your programs interactive and test your code safely before adding it to a project. You’ll put your new knowledge into practice by creating a Space Invaders–inspired arcade game, building a set of data visualizations with Python’s handy libraries, and deploying a simple application online. As you work through the book, you’ll learn how to: Use powerful Python...
Objev podobné jako Python Crash Course: 3rd Edition (9781718502703)
Foundational Python for Data Science - Kennedy Behrman
Data science and machine learning—two of the world''s hottest fields—are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world''s #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help students with widely diverse backgrounds learn foundational Python so they can use it for data science and machine learning. This book is catered to introductory-level college courses on data science. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once students have learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more—all created with Colab (Jupyter compatible) notebooks, so students can execute all coding examples interactively without installing or configuring any software.
Objev podobné jako Foundational Python for Data Science - Kennedy Behrman
Python for Data Science For Dummies - John Paul Mueller, Luca Massaron
Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner’s guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. Get a firm background in the basics of Python coding for data analysisLearn about data science careers you can pursue with Python coding skillsIntegrate data analysis with multimedia and graphics Manage and organize data with cloud-based relational databasesPython careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro.
Objev podobné jako Python for Data Science For Dummies - John Paul Mueller, Luca Massaron
Learning Python - Fabrizio Romano
Learn to code like a professional with Python – an open source, versatile, and powerful programming languageKey FeaturesLearn the fundamentals of programming with Python – one of the best languages ever createdDevelop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Python’s portabilityCreate outstanding applications of all kind, from websites to scripting, and from GUIs to data scienceBook DescriptionLearning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to ... Unknown localization key: "more"
Objev podobné jako Learning Python - Fabrizio Romano
Cloud Native Geospatial Analytics with Apache Sedona - Jia Yu, Pawel Tokaj, Mo Sarwat
This innovative distributed computing system, designed specifically for spatial data, has diverse applications in fields such as mobility, telematics, agriculture, climate science, and more. This book serves as your guide to leveraging this tool, along with other technologies, to unlock the potential of geospatial analytics.
Objev podobné jako Cloud Native Geospatial Analytics with Apache Sedona - Jia Yu, Pawel Tokaj, Mo Sarwat
Tidy Finance with Python - Voigt Stefan, Christoph Frey, Patrick Weiss, Christoph Scheuch
This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with Python, we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using pandas, numpy, and plotnine. Code is provided to prepare common open-source and proprietary financial data sources (CRSP, Compustat, Mergent FISD, TRACE) and organize them in a database. We reuse these data in all the subsequent chapters, which we keep as self-contained as possible. The empirical applications range from key concepts of empirical asset pricing (beta estimation, portfolio sorts, performance analysis, Fama-French factors) to modeling and machine learning applications (fixed effects estimation, clustering standard errors, difference-in-difference estimators, ridge regression, Lasso, Elastic net, random forests, neural networks) and portfolio optimization techniques.Key Features:Self-contained chapters on the most important applications and methodologies in finance, which can easily be used for the readerÂ’s research or as a reference for courses on empirical finance.Each chapter is reproducible in the sense that the reader can replicate every single figure, table, or number by simply copying and pasting the code we provide.A full-fledged introduction to machine learning with scikit-learn based on ... Unknown localization key: "more"
Objev podobné jako Tidy Finance with Python - Voigt Stefan, Christoph Frey, Patrick Weiss, Christoph Scheuch
Invent Your Own Computer Games with Python, 4E - Al Sweigart
Invent Your Own Computer Games with Python teaches you how to make your own versions of classic computer games.
Objev podobné jako Invent Your Own Computer Games with Python, 4E - Al Sweigart
Introduction to Machine Learning with Python - Andreas C. Mueller
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.
Objev podobné jako Introduction to Machine Learning with Python - Andreas C. Mueller
Test-Driven Development with Python - Harry Percival
This trusted guide demonstrates the practical advantages of test-driven development (TDD) with Python and describes how to develop a real web application. You'll learn how to write and run tests before building each part of your app and then develop the minimum amount of code required to pass those tests. The result? Clean code that works.
Objev podobné jako Test-Driven Development with Python - Harry Percival
Natural Language Processing with Python - Steven Bird
Offers an introduction to Natural Language Processing, the field that underpins a variety of language technologies, ranging from predictive text and email filtering to automatic summarization and translation. This book helps you learn how to write Python programs to work with large collections of unstructured text.
Objev podobné jako Natural Language Processing with Python - Steven Bird
Married… With Children vs. the World - Richard Gurman
A rollicking account of the groundbreaking show from one of the show’s producers, featuring the voices of the stars, creators, and executives involved with bringing it to life. “I had the pleasure of working with Richard Gurman for eleven years. When he sent me his new book Married… With Children vs. the World, I figured it would be a trip down memory lane. So I was stunned by some revelations I never knew. And reminded how brilliant much of the writing was. What a time that was. If you liked Married… With Children, then you should read this book. You’re in for a treat!” —Ed O’NeillMarried… With Children burst onto the airwaves with a full-frontal attack on the myth of domestic tranquility depicted in family comedies since the dawn of TV. The outlier series, created by two rebellious writers given carte blanche from a fledgling FOX, became one of the longest running live-action sitcoms in television history and forever changed the way married life was portrayed on the very networks it so scathingly satirized. But it was far from smooth sailing as the creators bucked up against Barry Diller—then CEO of FOX—on everything from casting to content and then butted ... Unknown localization key: "more"
Objev podobné jako Married… With Children vs. the World - Richard Gurman
Python For Kids For Dummies - Brendan Scott
The kid-friendly way to learning coding with Python Calling all wanna-be coders! Experts point to Python as one of the best languages to start with when you're learning coding, and Python For Kids For Dummies makes it easier than ever.
Objev podobné jako Python For Kids For Dummies - Brendan Scott
Python by Example - Nichola Lacey
Python is today''s fastest growing programming language. This engaging and refreshingly different guide breaks down the skills into clear step-by-step chunks and explains the theory using brief easy-to-understand language. Rather than bamboozling readers with pages of mind-numbing technical jargon, this book includes 150 practical challenges, putting the power in the reader''s hands. Through creating programs to solve these challenges the reader will quickly progress from mastering the basics to confidently using subroutines, a graphical user interface, and linking to external text, csv and SQL files. This book is perfect for anyone who wants to learn how to program with Python. In particular, students starting out in computer science and teachers who want to improve their confidence in Python will find here a set of ready-made challenges for classroom use.
Objev podobné jako Python by Example - Nichola Lacey
Agile Project Management with Kanban - Eric Brechner
Use Kanban to maximize efficiency, predictability, quality, and value With Kanban, every minute you spend on a software project can add value for customers. One book can help you achieve this goal: Agile Project Management with Kanban. Author Eric Brechner pioneered Kanban within the Xbox engineering team at Microsoft. Now he shows you exactly how to make it work for your team. Think of this book as “Kanban in a boxâ€: open it, read the quickstart guide, and you’re up and running fast. As you gain experience, Brechner reveals powerful techniques for right-sizing teams, estimating, meeting deadlines, deploying components and services, adapting or evolving from Scrum or traditional Waterfall, and more. For every step of your journey, you’ll find pragmatic advice, useful checklists, and actionable lessons. This truly is “Kanban in a boxâ€: all you need to deliver breakthrough value and quality. Use Kanban techniques to: Start delivering continuous value with your current team and project Master five quick steps for completing work backlogs Plan and staff new projects more effectively Minimize work in progress and quickly adjust to change Eliminate artificial meetings and prolonged stabilization Improve and enhance customer engagement Visualize workflow and fix revealed bottlenecks Drive quality upstream ... Unknown localization key: "more"
Objev podobné jako Agile Project Management with Kanban - Eric Brechner
The Football School Encyclopedia - Alex Bellos, Ben Lyttleton
THE BRAND-NEW BOOK IN THE BESTSELLING SERIES WHERE FOOTBALL AND FACTS COME TOGETHER IN A DREAM TEAM FORMATION ‘Full of facts, figures, quizzes and cartoons, this brilliant compendium has the answers to everything football fans could ever want to know’ – Sunday ExpressWelcome to The Football School Encyclopedia! It’s a book of facts and so let’s start with an important one: football is the best sport in the world.You’ll find out:- What Premier League players eat for breakfast - Secrets for taking the perfect corner - Which teams in the world have the best mascot - Who is the biggest superfan in the worldPlus much, much more all about players, clubs, trophies and tactics – and, well, everything you could possibly want to know about football! ‘We love this series!’ Match of the Day Magazine***There’s a whole world of Football School to enjoy, where every lesson is all about football!Football School Facts– Pre-order now to discover 365 football facts every day of the yearStar Players – Read the inspiring true stories of 50 football legendsEpic Heroes – Celebrate the greatest names and teams in football historyTerrific Teams – Discover the incredible stories behind the most famous clubs in the worldThe ... Unknown localization key: "more"
Objev podobné jako The Football School Encyclopedia - Alex Bellos, Ben Lyttleton
Football School Facts: A Fact for Every Day of the Year - Alex Bellos, Ben Lyttleton
CELEBRATE FOOTBALL EVERY DAY OF THE YEAR WITH THE BRAND-NEW BOOK IN THE BESTSELLING SERIES WHERE FOOTBALL AND FACTS COME TOGETHER IN A DREAM TEAM FORMATION. THE PERFECT GIFT FOR ALL YOUNG FANS. "The ultimate football yearbook where you can discover a new fun footie fact for every day of the year." - The Week JuniorWelcome to Football School Facts! It’s a book of facts and so let’s start with an important one: football is the best sport in the world. - Did you know that Erling Haaland is a record-breaking goalscoring machine?- That a player was once sent off for farting on the pitch?- Or that Diego Maradona has a religion named after him?Discover all this and much, much more all about your favourite players, great goals, super stadiums and marvellous mascots – the perfect gift for all young fans and their families to enjoy. "An engaging, fun read that will keep children laughing, learning and dreaming of the pitch." - Women's Weekly "We love this series!" - Match of the Day Weekly***There’s a whole world of Football School to enjoy, where every lesson is all about football – collect the series!Football School Encyclopedia – Find out everything you ... Unknown localization key: "more"
Objev podobné jako Football School Facts: A Fact for Every Day of the Year - Alex Bellos, Ben Lyttleton
Football School Star Players - Alex Bellos, Ben Lyttleton
THE JAM-PACKED BOOK OF FOOTBALL BIOGRAPHIES IN THE BESTSELLING SERIES WHERE FOOTBALL AND FACTS COME TOGETHER IN A DREAM TEAM FORMATION ‘An inspirational read.’ – The Week JuniorWelcome to Football School Star Players – packed with the inspiring true stories of 50 football legends!You’ll find out: - The secret behind Lionel Messi’s standout success - How Harry Kane overcame the odds to win the Golden Boot - What made Pelé the greatest player of all timePlus many more incredible true stories about the game's greatest legends, who changed the world of football. ‘We love this series!’ Match of the Day Magazine***There’s a whole world of Football School to enjoy, where every lesson is all about football – collect the series!Football School Facts – Pre-order now to discover 365 football facts every day of the yearFootball School Encyclopedia – Find out everything you want to know about footballEpic Heroes – Celebrate the greatest names and teams in football historyTerrific Teams – Discover the incredible stories behind the most famous clubs in the worldThe Amazing Quiz Book – Test your World Cup knowledge with 300+ brain-busting questions about international gamesThe Incredible Joke Book – Laugh out loud reading 200+ side-splitting football jokesThe ... Unknown localization key: "more"
Objev podobné jako Football School Star Players - Alex Bellos, Ben Lyttleton