ultimate data science programming in python saurabh chandrakar

In today''s data-driven world, the ability to extract meaningful insights from vast datasets is crucial for success in various fields. This ultimate book for mastering open-source libraries of data science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization. Discover how to use Python libraries like NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. This book also covers scientific computing with SciPy and integrates ChatGPT to boost your data science workflow. Designed for data scientists, analysts, and beginners, it offers a practical, hands-on approach to mastering data science fundamentals. With real-world applications and exercises, you will turn raw data into actionable insights, gaining a competitive edge. This book covers everything you need, including open-source libraries, Visual Explorer tools, and ChatGPT, making it a one-stop resource for Python-based data science.

Objev podobné jako Ultimate Data Science Programming in Python - Saurabh Chandrakar

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

Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you''ll remember important things you''ve forgotten and discover classic solutions to your "new" problems Key Features · Breadth-first and depth-first search algorithms · Constraints satisfaction problems · Common techniques for graphs · Adversarial Search · Neural networks and genetic algorithms · Written for data engineers and scientists with experience using Python. For readers comfortable with the basics of Python About the technology Python is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and you’ll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you’ll face as you grow your skill as a programmer. David Kopec teaches at Champlain College in Burlington, VT and is the ... Unknown localization key: "more"

Objev podobné jako Classic Computer Science Problems in Python - David Kopec

Helena Rubinstein Re-Plasty Ultimate Recovery dárková sada
běhací dres dáma
běhová oděva dáma
kabelka pro dámu
šaty dáma modrá
předsíňová sestava Dana Atlantic borovice antracit
předsíňová sestava Dana Atlantic montáž
vakuovací dózy s ukazatelem data
šedá keramická stolní lampa Dayami
předsíňová sestava Dano White rozměry 113,6 cm
předsíňová sestava Dano Atlantic rozměry
hodiny Karlsson s displejem data a dne
předsíňová sestava Dany White s věšákovým panelem
sada her šachy dáma člověče nezlob se
předsíňová sestava Dany White bílá
bílá předsíňová sestava Dana White

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

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

A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior. Emphasizes hands-on learning, not paper-and-pencil statisticsIncludes data sets from actual research for students to test their skills onCovers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical toolsFeatures a wealth of supplementary exercises, including additional data analysis exercises and programming exercisesOffers a solid foundation for further studyComes with additional course materials online, including notes, sample code, exercises ... Unknown localization key: "more"

Objev podobné jako Quantitative Social Science - Kosuke Imai, Nora Webb Williams

CGP''s all-in-one Complete Revision & Practice guide is the only logical choice when it comes to the GCSE AQA Computer Science exams. Each topic on the course is clearly explained, with helpful notes and examples, including pages on programming in Python - one of the key computer languages. Plus, there are plenty of warm-up questions and realistic exam-style questions (with answers) to test students'' understanding. There are even online video solutions that walk students through the answers step-by-step. Brilliant.That''s not all! At the end of each topic, there''s a page of Revision Summary questions, as well as an online quiz - perfect for students to put their knowledge to the test! And at the back of the book, there''s a set of practice exam papers, plus a glossary containing all the terminology needed for the course.And finally, we''ve thrown in a free Online Edition of the whole book. It contains two extra sections covering programming in C# and VB.NET that you won''t find in the physical edition - both with clear study notes and essential practice questions! Don''t say we don''t spoil you.For even more Computer Science exam preparation, don’t miss our matching Revision Question Cards (9781789086126).

Objev podobné jako GCSE Computer Science AQA Complete Revision & Practice includes Online Edition, Videos & Quizzes - CGP Books

This fantastic CGP Revision Guide is the perfect companion to the GCSE AQA Computer Science course, with notes on everything from storing sound to writing algorithms! Plus it includes notes about programming in Python - one of the key computer languages. Each topic is clearly explained with plenty of helpful examples and tips. At the end of each topic, there''s a page of Revision Summary questions as well as an online quiz - perfect for students to put their knowledge to the test!What''s more, there are realistic exam-style questions sprinkled throughout - all with online video solutions that walk students through the answers step-by-step. And at the back of the book, there''s a glossary containing all the terminology they need to know.And finally, we''ve thrown in a free Online Edition of the whole book. It contains two extra sections covering programming in C# and VB.NET that you won''t find in the physical edition - both with clear study notes and essential practice questions! Don''t say we don''t spoil you.For even more Computer Science exam preparation, don’t miss our matching Exam Practice Workbook (9781789086119) and Revision Question Cards (9781789086126).

Objev podobné jako GCSE Computer Science AQA Revision Guide includes Online Edition, Videos & Quizzes - CGP Books

Computer science can feel unapproachable for those without a formal CS education. Fun Computer Science Projects in Python pulls back that curtain, illuminating several foundational CS concepts through creative, hands-on projects. Each of the 7 projects is presented in a code-centric tutorial that gently introduces topics like interpreters, emulators, and machine learning without getting bogged down by complex theory. The projects showcase advanced Python language features and clean code principles while exploring interesting algorithms. Chapters conclude with discussions of real-world applications of the topic and proposed exercises to extend the reader''s skills. Covers Python 3.x

Objev podobné jako Computer Science From Scratch - David Kopec

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

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

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

See how an AI assistant can bring your ideas to life immediately! Once, to be a programmer you had to write every line of code yourself. Now tools like GitHub Copilot can instantly generate working programs based on your description in plain English. An instant bestseller, Learn AI-Assisted Python Programming has taught thousands of aspiring programmers how to write Python the easy way—with the help of AI. It''s perfect for beginners, or anyone who''s struggled with the steep learning curve of traditional programming. In Learn AI-Assisted Python Programming, Second Edition you''ll learn how to: Write fun and useful Python applications—no programming experience required! Use the GitHub Copilot AI coding assistant to create Python programs Write prompts that tell Copilot exactly what to do Read Python code and understand what it does Test your programs to make sure they work the way you want them to Fix code with prompt engineering or human tweaks Apply Python creatively to help out on the job AI moves fast, and so the new edition of Learn AI-Assisted Python Programming, Second Edition is fully updated to take advantage of the latest models and AI coding tools. Written by two esteemed computer science university professors, it ... Unknown localization key: "more"

Objev podobné jako Learn AI-Assisted Python Programming, Second Edition - Daniel Zingaro, Leo Porter

Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together. Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You''ll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you''ll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the technologyFast, accurate systems are vital for handling the huge datasets and complex analytical algorithms that are common in modern data science. Python programmers need to boost performance by writing faster pure-Python programs, optimizing the use of libraries, and utilizing modern multi-processor hardware; Fast Python for Data Science shows you how.

Objev podobné jako Fast Python for Data Science - Tiago Antao

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

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

This second edition of Foundations of Python Network Programming targets Python 2.5 through Python 2.7, the most popular production versions of the language. Python has made great strides since Apress released the first edition of this book back in the days of Python 2.3. The advances required new chapters to be written from the ground up, and others to be extensively revised. You will learn fundamentals like IP, TCP, DNS and SSL by using working Python programs; you will also be able to familiarize yourself with infrastructure components like memcached and message queues. You can also delve into network server designs, and compare threaded approaches with asynchronous event-based solutions. But the biggest change is this edition''s expanded treatment of the web. The HTTP protocol is covered in extensive detail, with each feature accompanied by sample Python code. You can use your HTTP protocol expertise by studying an entire chapter on screen scraping and you can then test lxml and BeautifulSoup against a real-world web site. The chapter on web application programming now covers both the WSGI standard for component interoperability, as well as modern web frameworks like Django. Finally, all of the old favorites from the first edition are back: ... Unknown localization key: "more"

Objev podobné jako Foundations of Python Network Programming - Brandon Rhodes, Tim Bower, John Goerzen

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

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:● Showcases the excellent data science environment in Python.● Provides examples for readers to replicate, adapt, extend, and improve.● 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

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

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

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 new edition of an introduction to the art of computational problem solving using Python.This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy, matplotlib, random, pandas, and sklearn. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data as well as substantial material on machine learning. All of the code in the book and an errata sheet are available on the book’s web page on the MIT Press website.

Objev podobné jako Introduction to Computation and Programming Using Python, third edition - John V. Guttag

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

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples

Objev podobné jako Python for Data Analysis 3e - Wes McKinney

Eliminate the unavoidable complexity of object-oriented designs. Using the persistent data structures built into most modern programming languages, Data-oriented programming cleanly separates code and data, which simplifies state management and eases concurrency. In Data-Oriented Programming you will learn how to: Separate code from data Effectively manage state using immutable data Represent data with generic data structures Manipulate data with general-purpose functions Control concurrency in highly scalable systems Specify the shape of your data Benefit from polymorphism without objects Debug programs without a debugger Distinguish data-oriented programming from functional and OO programming Data-Oriented Programming teaches you to design applications using the data-oriented paradigm. These powerful new ideas are presented through conversations, code snippets, diagrams, and even songs to help you quickly grok what''s great about DOP. You''ll learn to write DOP code that can be implemented in languages like JavaScript, Ruby, Python, Clojure and also in traditional OO languages like Java or C#.

Objev podobné jako Data-Oriented Programming - Yehonathan Sharvit

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

Functional Programming in Kotlin is a reworked version of the bestselling Functional Programming in Scala, with all code samples, instructions, and exercises translated into the powerful Kotlin language. In this authoritative guide, you’ll take on the challenge of learning functional programming from first principles, and start writing Kotlin code that’s easier to read, easier to reuse, better for concurrency, and less prone to bugs and errors. about the technologyKotlin is a new JVM language designed to interoperate with Java and offer an improved developer experience for creating new applications. It’s already a top choice for writing web services, and Android apps. Although it preserves Java’s OO roots, Kotlin really shines when you adopt a functional programming mindset. By learning the core principles and practices of functional programming outlined in this book, you’ll start writing code that’s easier to read, easier to test and reuse, better for concurrency, and less prone to bugs. about the book Functional Programming in Kotlin is a serious tutorial for programmers looking to learn FP and apply it to the everyday business of coding. Based on the bestselling Functional Programming in Scala, this book guides intermediate Java and Kotlin programmers from basic techniques to advanced topics ... Unknown localization key: "more"

Objev podobné jako Functional Programming in Kotlin - Runar Bjarnason, Paul Chiusano, Marco Vermeulen

Controversial Issues in Adventure Programming offers an engaging approach to the consideration of enduring, current, and emerging issues in the field. Written primarily for upper-level undergraduate and graduate students, the text presents 20 issues in a debate format, challenging students to participate in critical discourse concerning these issues as practitioners in the field of adventure programming. Respected authors Bruce Martin and Mark Wagstaff have assembled a team of more than 50 contributors from around the globe to reassess some of the underlying assumptions on which adventure programming is based. They have critically examined implications of new developments for emerging practice and discussed how best to position the field of adventure programming in addressing broader societal concerns. To set the stage for the debate, each issue is prefaced with a general overview, including the evolution of the issue and its significance in light of broader social concerns. Then, contributors present the pros and cons of each issue. A debate format helps students develop an understanding of the key points around each issue while also becoming familiar with current research pertinent to these issues. This approach also encourages students to grapple with these issues and begin to develop their own informed, thoughtful ... Unknown localization key: "more"

Objev podobné jako Controversial Issues in Adventure Programming - Mark Wagstaff, Bruce Martin

Everything you need to know to get into Python coding, with 7 books in one Python All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language. Get started coding in Python—even if you’re new to computer programmingReference all the essentials and the latest updates, so your code is air-tightLearn how Python can be a solution for large-scale projects and big datasetsAccelerate your career path with this comprehensive guide to learning PythonExperienced and would-be coders alike will love this easy-to-follow guide to learning and applying Python.

Objev podobné jako Python All-in-One For Dummies - Alan Simpson, John C. Shovic

C++ Programming in easy steps, 7th edition shows you how to program in the powerful C++ native system language. Now, in its seventh edition, this guide gives complete examples that illustrate each aspect with colorized source code.C++ Programming in easy steps, 7th edition begins by explaining how to install a free C++ compiler so that you can quickly begin to create your own executable programs by copying the book’s examples. It demonstrates all the C++ language basics before moving on to provide examples of Object-Oriented Programming (OOP). C++ is not platform-dependent, so programs can be created on any operating system. Most illustrations in this book depict output on the Windows operating system (purely because it is the most widely-used desktop platform) but the examples can also be created on other platforms such as Linux or macOS. The book concludes by demonstrating how you can use your acquired knowledge to create programs graphically using a modern C++ Integrated Development Environment (IDE), such as Microsoft’s Visual Studio. C++ Programming in easy steps, 7th edition has an easy-to-follow style that will appeal to: Anyone who wants to begin programming in C++.Programmers looking to advance from an interpreted programming language, such as Python, who ... Unknown localization key: "more"

Objev podobné jako C++ Programming in easy steps - Mike McGrath

Perl is often known as the Swiss army knife of programming languages. Perl Programming in easy steps, 2nd edition illustrates programming basics with variables, operators, and functions before moving on to demonstrate the creation of reusable Perl modules. It then shows how Perl can read and write files on your system. Object-Oriented Programming (OOP) with Perl is demonstrated next to emulate real-world object properties and behaviors. The examples in Perl Programming in easy steps, 2nd edition demonstrate how to store and retrieve data with the SQLite database module that is often bundled alongside the standard Perl library. The book then moves on to illustrate how Perl is used for server-side CGI scripting on the internet. A final example brings together Perl for CGI and SQLite to create an online shop. Perl Programming in easy steps, 2nd edition has an easy-to-follow style that will appeal to: Anyone who wants begin programming in Perl. Programmers looking to extend their skillset. Students who are studying programming at school or college. Those seeking a career in software development. This book makes no assumption that you have previous knowledge of any programming language, so is suitable for a beginner or a programming guru.

Objev podobné jako Perl Programming in easy steps - Mike McGrath

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

Ensure every student can become fluent in Python with this highly practical guide that will help them understand the theory and logic behind coding.Written for 14-16-year olds by a leading Python specialist and teacher, and aligned to curriculum requirements, this essential Student Book provides numerous practice questions and coding problems that can be completed as homework or during class - plus answers can be found online at www.hoddereducation.co.uk/pythonextrasHow to Code in Python will:> Provide hundreds of coding examples, puzzles and problem-solving tasks to strengthen computational thinking skills required for GCSE, iGCSE and National 4 / 5 success> Help students become proficient in computational thinking and problem-solving using Python> Provide easy-to-follow explanations of concepts and terminology> Feature plenty of opportunities for self-assessment with solutions to coding problems available onlineThis unique book can be broken down into three key features:> Code theory and explanations (worked examples) in a fun and accessible way> Computational thinking puzzles for the reader to solve; this will greatly improve students'' ability to read code and predict its effect and output when run> Programming problems where the reader has to write a program to solve given scenariosGreg Reid is a very experienced Computer Science teacher in Scotland, who ... Unknown localization key: "more"

Objev podobné jako How to code in Python: GCSE, iGCSE, National 4/5 and Higher - Greg Reid

Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its benefits and mitigating its harms. They offer frameworks for critically evaluating the ingredients and the ethical considerations needed to apply data science productively, illustrated by extensive application examples. The authors'' far-ranging exploration of these complex issues will stimulate data science practitioners and students, as well as humanists, social scientists, scientists, and policy makers, to study and debate how data science can be used more effectively and more ethically to better our world.

Objev podobné jako Data Science in Context - Peter Norvig, Alfred Z. Spector, Jeannette M. Wing, Chris Wiggins

Sams Teach Yourself Beginning Programming in 24 Hours explains the basics of programming in the successful 24 Hours format. The book''s examples are easily readable and understandable by even those with no previous exposure to programming. This book covers the absolute basics of programming: Why program? What tools to use? How does a program tell the computer what to do? Students will learn how to program the computer and will explore some of the most popular programming languages in use. This book will introduce students to common programming fundamentals using Python and will provide an overview of other common programming languages and their uses.

Objev podobné jako Beginning Programming in 24 Hours, Sams Teach Yourself - Dean Miller, Greg Perry

Go beyond the basics with this in-depth guide to quantum programming.Here''s something you already know: quantum computing is a deep subject. Quantum Programming in Depth takes you beyond quantum basics and shows you how to take on practical quantum problem solving and programming using Q# and Qiskit. Author Mariia Mykhailova, a principal software engineer at Microsoft Quantum, guides you every step of the way.In Quantum Programming in Depth you''ll explore: Algorithms to solve challenging quantum computing problems Writing quantum programs with Q# and Qiskit Testing quantum programs with simulators and specialized tools Evaluating performance of quantum programs on future fault-tolerant quantum computers Quantum Programming in Depth shows you how to do quantum computing outside the lab or classroom, presenting problems of quantum programming and demonstrating how they''re solved. You''ll learn to write quantum programs using Qiskit and Q# —and even how to test your quantum code using common testing tools like pytest. You''ll learn to prepare quantum states and implement operations, extract information from quantum states and operations, evaluate classical functions on a quantum computer, solve search problems, and more.

Objev podobné jako Quantum Programming in Depth - Mariia Mykhailova

Programming in C will teach you how to write programs in the C programming language. Whether you’re a novice or experienced programmer, this book will provide you with a clear understanding of this language, which is the foundation for many object-oriented programming languages such as C++, Objective-C, C#, and Java. This book teaches C by example, with complete C programs used to illustrate each new concept along the way. Stephen Kochan provides step-by-step explanations for all C functions. You will learn both the language fundamentals and good programming practices. Exercises at the end of each chapter make the book ideally suited for classroom use or for self-instruction. All the features of the C language are covered in this book, including the latest additions added with the C11 standard. Appendixes provide a detailed summary of the language and the standard C library, both organized for quick reference. “Absolutely the best book for anyone starting out programming in C. This is an excellent introductory text with frequent examples and good text....This is the book I used to learn C–it’s a great book.” –Vinit S. Carpenter, Learn C/C++ Today

Objev podobné jako Programming in C - Stephen Kochan

Functional programming is becoming a required skill for allprogrammers, and for good reason. The functional style ofprogramming lets developers to write more concise code, which tendsto have fewer bugs. Functional Programming in C++ teaches developers the practical sideof functional programming and what tools C++ provides to developsoftware in the functional style. KEY FEATURES• Practical-guide• Hands-on examples• Step-by-step instructions This book is for developers who have worked professionally with C++for 2 or more years. ABOUT THE TECHNOLOGYBroadly speaking, Functional Programming is a style of programmingwhere the main programming building blocks are functions, asopposed to objects and procedures. AUTHOR BIOIvan Čukić has been teaching modern C++ techniques and functionalprogramming at the Faculty of Mathematics in Belgrade for 6 years and hasbeen using C++ for more than 15 years. He has been researching functionalprogramming in C++ before and during his PhD studies, and uses thetechniques in real-world projects. He is one of the core developers in KDE,the largest free/libre open source C++ project.

Objev podobné jako Functional Programming in C++ - Ivan Cukic

The Scratch programming language is widely used in schools and on the Raspberry Pi. Its drag-and-drop commands make it an ideal language for all ages to learn to program. And this popular book, Scratch Programming in easy steps, now fully updated for Scratch 3, is packed with ideas and games that illustrate what’s possible with Scratch.Scratch makes it easy to create your own games, animations, music, art or applications. It’s the perfect way to learn programming because it takes away a lot of the complexity. That means you can focus on having great ideas and bringing them to life. With Scratch Programming in easy steps, 2nd edition as your companion, you’ll learn how to: Build games that require skill, knowledge or quick fingersAdd musicCreate eye-catching visual effectsKeep scoreAvoid common pitfalls and learn how to fix bugsScratch Programming in easy steps, 2nd edition will help you to get creative and become a super Scratcher!

Objev podobné jako Scratch Programming in easy steps - McManus Sean

A practical field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples.In How to Lead in Data Science you''ll master techniques for leading data science at every seniority level, from heading up a single project to overseeing a whole company''s data strategy. You''ll find advice on plotting your long-term career advancement, as well as quick wins you can put into practice right away.

Objev podobné jako How to Lead in Data Science - Jike Chong, Yue Chang

Master the essentials of modern Fortran with Fortran Programming in easy steps. Written for all ages, and all skill levels, this guide will help you quickly set up your coding environment and start writing Fortran programs with the Fortran programming language and the modern Intel IFX Fortran compiler right away. Learn how to:Store information using data structures.Control program flow using control structures. Build re-usable blocks of code in program functions for efficiency. Utilize data abstraction for Object Oriented Programming (OOP). Implement parallel programming for faster, concurrent execution in your programs. Color-coded examples make learning even easier, and all source code is available to download free – so you can check your work as you go!This primer is your gateway to mastering high-performance computing for today’s needs. Stay ahead in your coding career!

Objev podobné jako Fortran Programming in easy steps - Mike McGrath

Linux and Unix are essentially two takes on the same operating system, with Linux serving as the free, open-source version. This book serves as an all-around introduction to programming for a Linux or Unix operating system, covering how to write programs on and for the Linux OS, how to work efficiently within a Unix/Linux environment, and how the underlying design and structure of the Unix OS work. The author''s friendly, conversational style reflects his more than 40 years of experience teaching this material. Numerous diagrams included in each chapter illustrate and simplify key concepts, while hands-on projects help to cement lessons that build on one another through the book. Prior programming experience, preferably in C or C++, is helpful but not required. No knowledge of Linux or Unix is necessary, but readers will need access to a Linux system.Linux and Unix are essentially two takes on the same operating system, with Linux serving as the free, open-source version. This book serves as an all-around introduction to programming for a Linux or Unix operating system, covering how to write programs on and for the Linux OS, how to work efficiently within a Unix/Linux environment, and how the underlying design and structure ... Unknown localization key: "more"

Objev podobné jako System Programming in Linux - Stewart Weiss

Microservice APIs in Python shares successful strategies and techniques for designing Microservices systems, with a particular emphasis on creating easy-to-consume APIs.This practical guide focuses on implementation over philosophizing and has just enough theory to get you started. You''ll quickly go hands on designing the architecture for a microservices platform, produce standard specifications for REST and GraphQL APIs, and bake in authentication features to keep your APIs secure. Written in a framework-agnostic manner, its universal principles of API and microservices design can easily be applied to your favorite stack and toolset. About the TechnologyStandard Python web applications, such as those you''d typically build with Django or Flask, can be hard to scale and maintain when built as monoliths. Microservices design makes it possible to isolate key features and functionality as independently written and maintained services. To take advantage of this more resilient architecture, you need to learn the patterns, frameworks, and tools that make Python-based microservices easy to build and manage.

Objev podobné jako Microservice APIs in Python - Jose Peralta

Assembly x64 Programming in easy steps shows how to write code to create your own computer programs. It contains separate chapters demonstrating how to store and manipulate data in 64-bit registers, how to control program flow, and how to create reusable blocks of code in program functions. It includes demonstrations of parallel processing with 128-bit Streaming SIMD Extensions (SSE) and 256-bit Advanced Vector Extensions (AVX).Assembly x64 Programming in easy steps has an easy-to-follow style that will appeal to anyone who wants to begin programming in modern x64 Assembly language on Windows. The code in the listed steps within the book is color-coded, making it easier for beginners to grasp. There are complete step-by-step example programs that demonstrate each aspect of coding, together with screenshots that illustrate the actual output when each program is executed.Includes free, downloadable source code to get you started straightaway!The book’s examples are shown in Visual Studio 2019 and are not compatible with later versions.

Objev podobné jako Assembly x64 Programming in easy steps - Mike McGrath

This book provides insights into the true nature of financial and economic data, and is a practical guide on how to analyze a variety of data sources. The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different areas. Lastly, the book includes practical information on how to store and process data and provides a framework for data driven reasoning about the world.The book begins with entertaining tales from Graham Giller''s career in finance, starting with speculating in UK government bonds at the Oxford Post Office, accidentally creating a global instant messaging system that went ''viral'' before anybody knew what that meant, on being the person who forgot to hit ''enter'' to run a hundred-million dollar statistical arbitrage system, what he decoded from his brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality.The majority of the content is a narrative of analytic work done on financial, economics, and alternative data, structured around both Dr Giller''s professional career and some of the things that just interested him. The goal is to stimulate interest in predictive methods, to give accurate characterizations of ... Unknown localization key: "more"

Objev podobné jako Adventures In Financial Data Science: The Empirical Properties Of Financial And Economic Data - Graham L Giller

This beginner''s book will teach you how to apply the principles of data science to improve your business strategies - no math proficiency required! Easy-to-follow chapters take the reader through concepts like A/B testing, supervised and unsupervised machine learning, web scraping, and more. Each concept is illustrated using real-world business applications, real-world data, and useful Python code examples. The tone is conversational, and the author avoids the dense mathematical theories associated with data science in favour of simple explanations and practical applications. By the end of the book, readers should be comfortable working with data, applying data to business problems, and using best practices to analyse data using Python.

Objev podobné jako Dive Into Data Science - Bradford Tuckfield

Practical, in-depth knowledge of the system programming interfaces that drive the UNIX and Linux kernels Building on W. Rich Stevens’ pioneering work, this third edition of the classic was updated by Steve Rago, a colleague of Stevens, to reflect technical advances and best practices aligning with Version 4 of the Single UNIX Specification. This edition covers more than seventy interfaces including: POSIX asynchronous I/O Spin locks Barriers POSIX semaphores Steve carefully retains the spirit and approach that have made this book so valuable, starting with files, directories, and processes, carefully laying the groundwork for more advanced techniques, such as signal handling and terminal I/O. And he thoroughly covers threads and multithreaded programming, and socket-based IPC. Filled with examples, case-studies, and access to thousands of lines of downloadable code, Advanced Programming in the UNIX® Environment has helped generations of programmers write code with exceptional power, performance, and reliability.

Objev podobné jako Advanced Programming in the UNIX Environment - Stephen Rago, W. Stevens

Learn data science with Python by building five real-world projects! In Data Science Bookcamp you’ll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career. about the technologyIn real-world practice, data scientists create innovative solutions to novel open ended problems. Easy to learn and use, the Python language has become the de facto language for data science amongst researchers, developers, and business users. But knowing a few basic algorithms is not enough to tackle a vague and thorny problem. It takes relentless practice at cracking difficult data tasks to achieve mastery in the field. That’s just what this book delivers. about the book Data Science Bookcamp is a comprehensive set of challenging projects carefully designed to grow your data science skills from novice to master. Veteran data scientist Leonard Apeltsin sets five increasingly difficult exercises that test your abilities against the kind of problems you’d encounter in the real world. As you solve each challenge, you’ll acquire and expand the ... Unknown localization key: "more"

Objev podobné jako Data Science Bookcamp - Leonard Apeltsin

Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares ... Unknown localization key: "more"

Objev podobné jako Mastering Marketing Data Science - Iain Brown