- Table View
- List View
Python Programming: An Introduction To Computer Science
by John M. ZelleThis third edition of John Zelle's Python Programming continues the tradition of updating the text to reflect new technologies while maintaining a time-tested approach to teaching introductory computer science. An important change to this edition is the removal of most uses of eval and the addition of a discussion of its dangers. In our increasingly connected world, it's never too early to begin considering computer security issues.
Python Programming: An Introduction to Computer Science
by John M. ZelleThis book is designed to be used as the primary textbook in a college-level first course in computing. It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However, these ideas are illustrated using a non-traditional language, namely Python.
Python Programming Blueprints: Build nine projects by leveraging powerful frameworks such as Flask, Nameko, and Django
by Daniel Furtado Marcus Pennington Pierluigi RitiHow to build useful, real-world applications in the Python programming language Key Features Deliver scalable and high-performing applications in Python. Delve into the great ecosystem of Python frameworks and libraries through projects that you will build with this book. This comprehensive guide will help you demonstrate the power of Python by building practical projects. Book Description Python is a very powerful, high-level, object-oriented programming language. It's known for its simplicity and huge community support. Python Programming Blueprints will help you build useful, real-world applications using Python. In this book, we will cover some of the most common tasks that Python developers face on a daily basis, including performance optimization and making web applications more secure. We will familiarize ourselves with the associated software stack and master asynchronous features in Python. We will build a weather application using command-line parsing. We will then move on to create a Spotify remote control where we'll use OAuth and the Spotify Web API. The next project will cover reactive extensions by teaching you how to cast votes on Twitter the Python way. We will also focus on web development by using the famous Django framework to create an online game store. We will then create a web-based messenger using the new Nameko microservice framework. We will cover topics like authenticating users and, storing messages in Redis. By the end of the book, you will have gained hands-on experience in coding with Python. What you will learn Learn object-oriented and functional programming concepts while developing projects The dos and don'ts of storing passwords in a database Develop a fully functional website using the popular Django framework Use the Beautiful Soup library to perform web scrapping Get started with cloud computing by building microservice and serverless applications in AWS Develop scalable and cohesive microservices using the Nameko framework Create service dependencies for Redis and PostgreSQLWho this book is for This book is for software developers who are familiar with Python and want to gain hands-on experience with web and software development projects. A basic knowledge of Python programming is required.
Python Programming for Arduino
by Pratik DesaiThis is the book for you if you are a student, hobbyist, developer, or designer with little or no programming and hardware prototyping experience, and you want to develop IoT applications. If you are a software developer or a hardware designer and want to create connected devices applications, then this book will help you get started.
Python Programming for Arduino
by Pratik DesaiThis is the book for you if you are a student, hobbyist, developer, or designer with little or no programming and hardware prototyping experience, and you want to develop IoT applications. If you are a software developer or a hardware designer and want to create connected devices applications, then this book will help you get started.
Python Programming for Beginners: A Kid's Guide to Coding Fundamentals
by Patricia FosterThink like a programmer with this fun beginner's guide to Python for ages 10 to 14 Kids can learn to code with the power of Python! Python Programming for Beginners is the perfect way to introduce aspiring coders to this simple and powerful coding language. This book teaches kids all about Python and programming fundamentals—and is packed full of fun and creative activities that make learning a blast! In Python Programming for Beginners, kids will start off with the basics, learning all about fundamental coding concepts and how they can put these concepts together in Python to build their own games and programs. Each chapter focuses on a different coding concept—like variables, data types, and loops—and features three awesome coding activities to try. These activities get more difficult as they go, so young coders can see just how much their skills are growing. By the end of Python Programming for Beginners, they'll create their own fully functional sci-fi game and crack the code to a secret message! Python Programming for Beginners features: No coding experience needed!—Designed just for kids, this Python programming book is filled with step-by-step directions, simple explanations, and detailed code breakdowns. Build a coding toolbox—Kids will build their programming skills, learn how to troubleshoot bugs with a handy bug-hunting guide, and practice their Python programming knowledge with cool activities. Why Python programming?—Python is an awesome starting language for kids! It's a powerful programming language that can be used for lots of projects but features simple syntax so beginners can focus on learning programming logic. Set kids up for a lifetime of programming success with Python Programming for Beginners .
Python Programming for Biology
by Tim J. Stevens Wayne BoucherDo you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life sciences how to program with Python, a powerful, flexible and easy-to-use language.
Python Programming for Data Analysis
by José UnpingcoThis textbook grew out of notes for the ECE143 Programming for Data Analysis class that the author has been teaching at University of California, San Diego, which is a requirement for both graduate and undergraduate degrees in Machine Learning and Data Science. This book is ideal for readers with some Python programming experience. The book covers key language concepts that must be understood to program effectively, especially for data analysis applications. Certain low-level language features are discussed in detail, especially Python memory management and data structures. Using Python effectively means taking advantage of its vast ecosystem. The book discusses Python package management and how to use third-party modules as well as how to structure your own Python modules. The section on object-oriented programming explains features of the language that facilitate common programming patterns.After developing the key Python language features, the book moves on to third-party modules that are foundational for effective data analysis, starting with Numpy. The book develops key Numpy concepts and discusses internal Numpy array data structures and memory usage. Then, the author moves onto Pandas and details its many features for data processing and alignment. Because strong visualizations are important for communicating data analysis, key modules such as Matplotlib are developed in detail, along with web-based options such as Bokeh, Holoviews, Altair, and Plotly.The text is sprinkled with many tricks-of-the-trade that help avoid common pitfalls. The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis. To get the most out of this book, open a Python interpreter and type along with the many code samples.
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields
by Martin WeisserLearn how to use Python for linguistics and digital humanities research, perfect for students working with Python for the first time Python programming is no longer only for computer science students; it is now an essential skill in linguistics, the digital humanities (DH), and social science programs that involve text analytics. Python Programming for Linguistics and Digital Humanities provides a comprehensive introduction to this widely used programming language, offering guidance on using Python to perform various processing and analysis techniques on text. Assuming no prior knowledge of programming, this student-friendly guide covers essential topics and concepts such as installing Python, using the command line, working with strings, writing modular code, designing a simple graphical user interface (GUI), annotating language data in XML and TEI, creating basic visualizations, and more. This invaluable text explains the basic tools students will need to perform their own research projects and tackle various data analysis problems. Throughout the book, hands-on exercises provide students with the opportunity to apply concepts to particular questions or projects in processing textual data and solving language-related issues. Each chapter concludes with a detailed discussion of the code applied, possible alternatives, and potential pitfalls or error messages. Teaches students how to use Python to tackle the types of problems they will encounter in linguistics and the digital humanities Features numerous practical examples of language analysis, gradually moving from simple concepts and programs to more complex projects Describes how to build a variety of data visualizations, such as frequency plots and word clouds Focuses on the text processing applications of Python, including creating word and frequency lists, recognizing linguistic patterns, and processing words for morphological analysis Includes access to a companion website with all Python programs produced in the chapter exercises and additional Python programming resourcesPython Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields is a must-have resource for students pursuing text-based research in the humanities, the social sciences, and all subfields of linguistics, particularly computational linguistics and corpus linguistics.
Python Programming Fundamentals (Undergraduate Topics in Computer Science)
by Kent D. LeeComputer programming is a skill that can bring great enjoyment from the creativity involved in designing and implementing a solution to a problem. This classroom-tested and easy-to-follow textbook teaches the reader how to program using Python, an accessible language which can be learned incrementally. Through an extensive use of examples and practical exercises, students will learn to recognize and apply abstract patterns in programming, as well as how to inspect the state of a program using a debugger tool. Features: contains numerous examples and solved practice exercises designed for an interactive classroom environment; highlights several patterns which commonly appear in programs, and presents exercises that reinforce recognition and application of these patterns; introduces the use of a debugger, and includes supporting material that reveals how programs work; presents the Tkinter framework for building graphical user interface applications and event-driven programs; provides helpful additional resources for instructors at the associated website: http://cs.luther.edu/~leekent/CS1. This hands-on textbook for active learning in the classroom will enable undergraduates in computer science to develop the necessary skills to begin developing their own programs. It employs Python as the introductory language due to the wealth of support available for programmers.
Python Programming in Context
by Julie Anderson Jon AndersonPython Programming in Context, Fourth Edition provides a comprehensive and accessible introduction to Python fundamentals. Updated with Python 3.10, the Fourth Edition offers a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. Taking an active learning approach, each chapter starts with a comprehensive real-world project that teaches core design techniques and Python programming to immediately engage students. An ideal first language for learners entering the rapidly expanding fields of computer science, data science, and scientific programing, Python gives students a solid platform of key problem-solving skills that translate easily across programming languages. This text is designed to be a first course in computer science that focuses on problem-solving, with language features being introduced as needed to solve the problem at hand.
Python Programming on Win32
by Mark Hammond Andy RobinsonDespite Python's increasing popularity on Windows, Python Programming on Win32 is the first book to demonstrate how to use it as a serious Windows development and administration tool. This book addresses all the basic technologies for common integration tasks on Windows, explaining both the Windows issues and the Python code you need to glue things together.
Python Programming Recipes for IoT Applications (Transactions on Computer Systems and Networks)
by Jivan S. Parab Gourish Naik Madhusudan Ganuji Lanjewar Marlon Darius Sequeira Arman Yusuf ShaikhThe book comprehensively covers the most important applications of the internet of things (IoT) using Python programming on Raspberry pi, Micropython Py Board, and NVIDIA Jetson Board. The authors have used an immersive ‘hands-on’ approach to help readers gain expertise in developing working code for real-world IoT applications. The book focuses on industry-standard embedded platforms for IoT applications. It also gives a glimpse of python programming and setup configuration of these embedded platforms. The later chapter highlights basic interface applications with Raspberry Pi. Exclusive advanced IoT applications on the Micropython Pyboard are also covered. The last two chapters deal with the NVIDIA Jetson Nano board programming for machine learning applications with FoG/cloud computing. The various IoT applications with different embedded platforms in this volume are best-suited for undergraduate/postgraduate students and researchers who want to get exposed to python programming for IoT applications. This book will enable readers to design their own embedded IoT products.
Python Programming with Raspberry Pi
by Srihari Yamanoor Sai YamanoorBecome a master of Python programming using the small yet powerful Raspberry Pi Zero About This Book • This is the first book on the market that teaches Python programming with Raspberry Pi Zero • Develop exciting applications such as a mobile robot and home automation controller using Python • This step-by-step guide helps you make the most out of Raspberry Pi Zero using Python programming Who This Book Is For This book is aimed at hobbyists and programmers who want to learn Python programming and develop applications using the Pi Zero. They should have basic familiarity with electronics. What You Will Learn • Configure Raspberry Pi using Python • Control loops to blink an LED using simple arithmetic operations • Understand how interface sensors, actuators, and LED displays work • Get to grips with every aspect of Python programming using practical examples • Explore machine vision, data visualization, and scientific computations • Build a mobile robot using the Raspberry Pi as the controller • Build a voice-activated home automation controller In Detail Raspberry Pi Zero is a super-small and super-affordable product from Raspberry Pi that is packed with a plethora of features and has grabbed the notice of programmers, especially those who use Python. This step-by-step guide will get you developing practical applications in Python using a Raspberry Pi Zero. It will become a valuable resource as you learn the essential details of interfacing sensors and actuators to a Raspberry Pi, as well as acquiring and displaying data. You will get started by writing a Python program that blinks an LED at 1-second intervals. Then you will learn to write simple logic to execute tasks based upon sensor data (for example, to control a motor) and retrieve data from the web (such as to check e-mails to provide a visual alert). Finally, you will learn to build a home automation system with Python where different appliances are controlled using the Raspberry Pi. The examples discussed in each chapter of this book culminate in a project that help improve the quality of people's lives. Style and approach This will be a learning, step-by-step guide to teach Python programming using the famous Raspberry Pi Zero. The book is packed with practical examples at every step along with tips and tricks for the Raspberry Pi fans
Python. Programuj szybko i wydajnie
by Micha Gorelick Ian OzsvaldWydajne aplikacje w j?zyku Python!Python to skryptowy j?zyk programowania istniej?cy na rynku od wielu lat — jego pierwsza wersja pojawi?a si? w 1991 roku. Przejrzysto?? kodu ?ród?owego by?a jednym z g?ównych celów Guida van Rossuma, twórcy tego j?zyka. Dzi? Python cieszy si? du?? popularno?ci?, co z jednej strony ?wiadczy o jego przydatno?ci, a z drugiej gwarantuje u?ytkownikom szerokie wsparcie spo?eczno?ci programistów j?zyka. Python jest elastyczny, dopuszcza ró?ne style programowania, a dzi?ki temu znajduje zastosowanie w wielu miejscach ?wiata IT.Je?eli chcesz w pe?ni wykorzysta? mo?liwo?ci Pythona i tworzy? wydajne rozwi?zania, to koniecznie zaopatrz si? w t? ksi??k?! Dzi?ki niej dowiesz si?, jak wykorzysta? profilowanie do lokalizowania „w?skich garde?”, oraz poznasz efektywne techniki wyszukiwania danych na listach, w s?ownikach i zbiorach. Ponadto zdob?dziesz wiedz? na temat oblicze? macierzowych i wektorowych oraz zobaczysz, jak kompilacja do postaci kodu C wp?ywa na wydajno?? Twojego rozwi?zania. Osobne rozdzia?y zosta?y po?wi?cone wspó?bie?no?ci oraz modu?owi multiprocessing. Opanowanie tych zagadnie? pozwoli Ci ogromnie przyspieszy? dzia?anie Twojej aplikacji. Na sam koniec nauczysz si? tworzy? klastry i kolejki zada? oraz optymalizowa? zu?ycie pami?ci RAM. Rozdzia? dwunasty to gratka dla wszystkich — zawiera najlepsze porady specjalistów z bran?y! Ksi??ka ta jest obowi?zkow? lektur? dla wszystkich programistów chc?cych tworzy? wydajne rozwi?zania w j?zyku Python.Poznaj lepiej narz?dzia numpy i Cython, a tak?e narz?dzia profiluj?ceDowiedz si?, jak w j?zyku Python dokonywana jest abstrakcja bazowej architektury komputera.U?yj profilowania do znajdowania „w?skich garde?” zwi?zanych z wykorzystaniem czasu procesora i pami?ci.Utwórz wydajne programy, wybieraj?c odpowiednie struktury danych.Przyspiesz obliczenia oparte na macierzach i wektorach.Zastosuj narz?dzia do kompilacji kodu Python do postaci kodu maszynowego.Zarz?dzaj jednocze?nie wieloma operacjami obliczeniowymi i operacjami wej?cia-wyj?cia.Przekszta?? kod przetwarzania wspó?bie?nego w celu uruchomienia go w klastrze lokalnym lub zdalnym.Rozwi?? du?e problemy, u?ywaj?c mniej pami?ci RAM.Wyci?nij z Pythona siódme poty!
Python Projects
by Laura Cassell Alan GauldA guide to completing Python projects for those ready to take their skills to the next levelPython Projects is the ultimate resource for the Python programmer with basic skills who is ready to move beyond tutorials and start building projects.The preeminent guide to bridge the gap between learning and doing, this book walks readers through the "where" and "how" of real-world Python programming with practical, actionable instruction. With a focus on real-world functionality, Python Projects details the ways that Python can be used to complete daily tasks and bring efficiency to businesses and individuals alike.Python Projects is written specifically for those who know the Python syntax and lay of the land, but may still be intimidated by larger, more complex projects. The book provides a walk-through of the basic set-up for an application and the building and packaging for a library, and explains in detail the functionalities related to the projects. Topics include:*How to maximize the power of the standard library modules*Where to get third party libraries, and the best practices for utilization*Creating, packaging, and reusing libraries within and across projects*Building multi-layered functionality including networks, data, and user interfaces*Setting up development environments and using virtualenv, pip, and moreWritten by veteran Python trainers, the book is structured for easy navigation and logical progression that makes it ideal for individual, classroom, or corporate training.For Python developers looking to apply their skills to real-world challenges, Python Projects is a goldmine of information and expert insight.
Python Projects for Beginners: A Ten-Week Bootcamp Approach to Python Programming
by Connor P. MillikenImmerse yourself in learning Python and introductory data analytics with this book’s project-based approach. Through the structure of a ten-week coding bootcamp course, you’ll learn key concepts and gain hands-on experience through weekly projects.Each chapter in this book is presented as a full week of topics, with Monday through Thursday covering specific concepts, leading up to Friday, when you are challenged to create a project using the skills learned throughout the week. Topics include Python basics and essential intermediate concepts such as list comprehension, generators and iterators, understanding algorithmic complexity, and data analysis with pandas. From beginning to end, this book builds up your abilities through exercises and challenges, culminating in your solid understanding of Python.Challenge yourself with the intensity of a coding bootcamp experience or learn at your own pace. With this hands-on learning approach, you will gain the skills you need to jumpstart a new career in programming or further your current one as a software developer. What You Will Learn Understand beginning and more advanced concepts of the Python languageBe introduced to data analysis using pandas, the Python Data Analysis libraryWalk through the process of interviewing and answering technical questionsCreate real-world applications with the Python languageLearn how to use Anaconda, Jupyter Notebooks, and the Python ShellWho This Book Is ForThose trying to jumpstart a new career into programming, and those already in the software development industry and would like to learn Python programming.
Python Projects for Kids
by Jessica IngrassellinoUnleash Python and take your small readers on an adventurous ride through the world of programming About This Book * Learn to start using Python for some simple programming tasks such as doing easy mathematical calculations. * Use logic and control loops to build a nice interesting game. * Get to grips with working with data and, once you're comfortable with that, you'll be introduced to Pygame, which will help you wrap up the book with a cool game. Who This Book Is For This book is for kids (aged 10 and over). This is book is intended for absolute beginners who lack any knowledge of computing or programming languages and want to get started in the world of programming. What You Will Learn * Start fiddling with Python's variables, build functions and interact with users * Build your own calculator using the Math Library * Train Python to make logical decisions * Work with moving 2D objects on-screen * Understand the Pygame Library and build your very own game! * Write a cool program to manage inventories in your backpack In Detail Kids are always the most fast-paced and enthusiastic learners, and are naturally willing to build stuff that looks like magic at the end (when it works!). Programming can be one such magic. Being able to write a program that works helps them feel they've really achieved something. Kids today are very tech-savvy and cannot wait to enter the fast-paced digital world. Because Python is one of the most popular languages and has a syntax that is quite simple to understand, even kids are eager to use it as a stepping stone to learning programming languages. This book will cover projects that are simple and fun, and teach kids how to write Python code that works. The book will teach the basics of Python programming, installation, and so on and then will move on to projects. A total of three projects, with each and every step explained carefully, without any assumption of previous experience. Style and approach The book will take a light approach in guiding the little readers through the world of Python. The main idea is to teach by example and let the readers have as much exercises to do, so that they learn faster and can apply their own ideas to the existing examples. The book should get them thinking, by the end, on where they can go next with such a powerful tool at their disposal.
Python, PyGame and Raspberry Pi Game Development
by Sloan KellyGain the basics of Python and use PyGame to create fast-paced video games with great graphics and sounds. You'll also learn about object oriented programming (OOP) as well as design patterns like model-view-controller (MVC) and finite state machines (FSMs). Python, PyGame and Raspberry Pi Game Development teaches you how to use Python and PyGame on your computer. Whether you use Windows, macOS, Linux, or a Raspberry Pi you can unleash the power of Python and PyGame to create great looking games. Included in the text are complete code listings and explanations for "Bricks," "Snake" and "Invaders"-- three fully-working games. These allow you to get started making your own great games. Modify them or build your own exciting titles. What You'll Learn Gain the basics of Python and employ it for game development Design your game Build games using game projects as templates like Bricks, Snake, and Invaders Work with user defined functions, inheritance, composition, and aggregation Add sound to your games Implement finite state machines Who This Book Is For Experienced coders or game developers new to Python, PyGame and Raspberry Pi. This book is also for makers interested in getting into game development.
Python, PyGame, and Raspberry Pi Game Development
by Sloan KellyExpand your basic knowledge of Python and use PyGame to create fast-paced video games with great graphics and sounds. This second edition shows how you can integrate electronic components with your games using the build-in general purpose input/output (GPIO) pins and some Python code to create two new games. You'll learn about object-oriented programming (OOP) as well as design patterns, such as model-view-controller (MVC) and finite-state machines (FSMs). Whether using Windows, macOS, Linux, or a Raspberry Pi, you can unleash the power of Python and PyGame to create great looking games. The book also includes complete code listings and explanations for "Bricks," "Snake," and "Invaders"—three fully working games. These allow you to get started in making your own great games and then modify them or build your own exciting titles. The concepts are further explained using games such as “Copycat,” where the player must concentrate and repeat the sequence of lights and sounds, and “Couch Quiz,” in which PyGame and electronic components create a quiz game for 2–4 players.What You’ll LearnGain basic knowledge of Python and employ it for game developmentStudy game projects you can use as templates, such as Bricks, Snake, and InvadersWork with user-defined functions, inheritance, composition, and aggregationImplement finite state machinesIntegrate your game with electronics using the GPIO pinsWho This Book Is ForExperienced coders or game developers new to Python, PyGame and Raspberry Pi would find this book helpful. It is also for beginners interested in getting into game development.
The Python Quick Syntax Reference
by Gregory WaltersThe Python Quick Syntax Reference is the "go to" book that contains an easy to read and useguide to Python programming and development. This condensed code and syntaxreference presents the Python language in a well-organized format designed tobe used time and again. You won't find jargon, bloated samples, case studies, or history of Hello Worldand computer theory in this handy reference. This Python syntax reference ispacked with useful information and is a must-have for any Python developer. What you'll learn Variables, strings, lists, dictionaries andconditional statements are and how to use them Some of the standard libraries and what they cando to help you How to write your own functions How to write your first Python program based onterminal Input and Output How to use the Python Interactive Shell How to use classes in your Python programs Who this book is for The Python Quick Syntax Reference is a great pocket reference guide for anyone wanting to program in Python, from the new user to the experienced programmer. Table of Contents Chapter 1: Hello Python Chapter 2: Variables Chapter 3: Operators Chapter 4: Strings Chapter 5: Conditional Statements and Loops Chapter 6: Data Structures Chapter 7: Keywords Chapter 8: Functions Chapter 9: Libraries Chapter 10: Classes
Python. Receptury. Wydanie III
by David Beazley Brian K. JonesPython to j?zyk programowania z ponad 20-letni? histori?. Opracowany na pocz?tku lat 90. ubieg?ego wieku, b?yskawicznie zdoby? sympati? programistów. Jest u?ywany zarówno do pisania przydatnych skryptów czy ma?ych narz?dzi, jak i do pracy nad du?ymi projektami. Korzysta z automatycznego zarz?dzania pami?ci? oraz pozwala na podej?cie obiektowe i funkcyjne do tworzonego programu. Wokó? j?zyka Python skupiona jest bardzo silna spo?eczno?? programistów.Ta ksi??ka to sprawdzone ?ród?o informacji na temat Pythona i jego najcz?stszych zastosowa?. Nale?y ona do cenionej serii „Receptury”, w której znajdziesz najlepsze sposoby rozwi?zywania problemów. Przekonaj si?, jak wydajnie operowa? na strukturach danych, ?a?cuchach znaków, tek?cie i liczbach. Zobacz, jak korzysta? z iteratorów i generatorów. Ponadto naucz si? tworzy? w?asne klasy i funkcje oraz sprawd?, jak uzyska? dost?p do plików i sieci. Te i dziesi?tki innych receptur opisano w tej ksi??ce. To obowi?zkowa pozycja na pó?ce ka?dego programisty pracuj?cego z j?zykiem Python.Dzi?ki tej ksi??ce:poznasz podstawy j?zyka Pythonrozwi??esz w optymalny sposób najcz?stsze problemynapiszesz program korzystaj?cy z puli w?tkówb?dziesz lepszym programist? Pythona!Najlepsze rozwi?zania typowych problemów!
Python Recipes for Earth Sciences (Springer Textbooks in Earth Sciences, Geography and Environment)
by Martin H. TrauthPython is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.
Python Recipes for Earth Sciences (Springer Textbooks in Earth Sciences, Geography and Environment)
by Martin H. TrauthPython is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. Codes are available online through GitHub.
Python Recipes Handbook
by Joey BernardLearn the code to write algorithms, numerical computations, data analysis and much more using the Python language: look up and re-use the recipes for your own Python coding. This book is your handy code cookbook reference. Whether you're a maker, game developer, cloud computing programmer and more, this is a must-have reference for your library. Python Recipes Handbook gives you the most common and contemporary code snippets, using pandas (Python Data Analysis Library), NumPy, and other numerical Python packages. What You'll LearnCode with the pandas (Python Data Analysis Library)Work with the various Python algorithms useful for today's big data analytics and cloud applicationsUse NumPy and other numerical Python packages and code for doing various kinds of analysisDiscover Python's new popular modules, packages, extensions and templates libraryWho This Book Is ForThis handy reference is for those with some experience with Python.