Python
W kategorii Python zostały zebrane podręczniki poruszające tematykę programowania z zastosowaniem praktycznie niezależnego sprzętowo, dostępnego na licencji Open Source języka. Książki przedstawią Wam wszechstronności i elastyczności Pythona a także różne typy tworzenia kodu poprzez programowanie strukturalne, obiektowe czy funkcjonalne.
Nauczycie się tworzyć aplikacje sieciowe o dowolnym przeznaczeniu, komunikujące się z systemami operacyjnymi, lub korzystające z baz danych. Techniki analizy składni, przetwarzanie tekstu czy rozłożenie obciążenia programu na wiele wątków i procesów przestanie być problematyczne.
Luiz Felipe Martins
If you are a professional, student, or educator who wants to learn to use IPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an agile environment.
Jak analizować dane z biblioteką Pandas. Praktyczne wprowadzenie. Wydanie II
Daniel Y. Chen
Wprawny analityk potrafi się posługiwać zbiorami danych o wysokiej dynamice i różnorodności. Działanie to ułatwia biblioteka open source Pandas, która pozwala, przy użyciu języka Python, zrealizować niemal każde zadanie wymagające analizy danych. Pandas może pomóc w zapewnieniu wiarygodności danych, wizualizowaniu ich pod kątem efektywnego podejmowania decyzji i analizowaniu wielu zbiorów danych. Oto drugie, zaktualizowane i uzupełnione wydanie przewodnika po bibliotece Pandas. Dzięki tej przystępnej książce nauczysz się w pełni korzystać z możliwości oferowanych przez bibliotekę, nawet jeśli dopiero zaczynasz przygodę z analizą danych w Pythonie. Naukę rozpoczniesz z użyciem rzeczywistego zbioru danych, aby wkrótce rozwiązywać złożone problemy danologii, takie jak obsługa brakujących danych, stosowanie regularyzacji czy też używanie metod nienadzorowanego uczenia maszynowego do odnajdywania podstawowej struktury w zbiorze danych. Pracę z poszczególnymi zagadnieniami ułatwia to, że zostały one zilustrowane prostymi, ale praktycznymi przykładami. W książce: importowanie i eksportowanie danych, przygotowywanie ich zbiorów tworzenie wykresów za pomocą bibliotek matplotlib, seaborn i Pandas konwersja typów danych skalowanie operacji przetwarzania danych zaawansowane możliwości biblioteki Pandas powiązane z datami i czasem dopasowywanie modeli liniowych przy użyciu bibliotek statsmodels i scikit-learn Analizuj zbiory danych i odkrywaj ukrytą w nich wiedzę!
Danny Staple
Coraz więcej złożonych, powtarzalnych zadań powierzamy automatom. Inteligentny robot nigdy się nie znudzi, nie zmęczy i będzie cały czas pracował z zadaną prędkością. Zapewnia nam to odpowiednią wydajność i bardzo dużą dokładność wykonywanych czynności. Oczywiście aby osiągnąć te korzyści, najpierw trzeba robota zbudować i zaprogramować. Warto spróbować własnych sił w tej materii. Wiedza o programowaniu autonomicznych robotów jest coraz cenniejsza na rynku pracy, a samo budowanie robotów i ich programowanie może być niesamowicie interesującym hobby! Ta książka stanowi przystępne wprowadzenie do świata projektantów i budowniczych robotów. Dzięki niej dowiesz się, jak wybrać potrzebne podzespoły, jak je ze sobą połączyć i jak wykorzystywać poszczególne urządzenia wejścia i wyjścia. Posłużysz się w tym celu płytką Raspberry Pi i kompatybilnymi z nią podzespołami. Następnie napiszesz w Pythonie kod, dzięki któremu wzbogacisz swojego robota o sztuczną inteligencję i połączysz się z nim przez Wi-Fi za pomocą smartfonu. Zdobędziesz również wiedzę, w jaki sposób realizować bardziej złożone projekty z zakresu robotyki, a także przygotujesz się, aby zwizualizować, zaprojektować, zbudować i zaprogramować robota według własnego pomysłu. Z tą książką: skonfigurujesz Raspberry Pi pod kątem zbudowania robota ze sztuczną inteligencją podłączysz silniki i czujniki do Raspberry Pi zaprogramujesz inteligentnego robota wykorzystasz technologie rozpoznawania mowy i przetwarzania obrazu nauczysz się sterowania robotem ze sztuczną inteligencją przez Wi-Fi za pomocą smartfonu zaczniesz samodzielnie projektować i budować roboty Zbuduj i zaprogramuj inteligentnego robota!
Języki i paradygmaty programowania. Teoria i praktyka
Feliks Kurp
Czym w rzeczywistości jest programowanie? I jak zacząć programować? Oprogramowanie jest dziś praktycznie wszędzie, a programiści od dawna należą do najbardziej poszukiwanych specjalistów. Na podstawie napisanego przez nich kodu funkcjonują już nie tylko komputery i smartfony. Oprogramowanie steruje sprzętami domowymi, telewizorem czy lodówką. W ramach tak zwanego internetu rzeczy wiele urządzeń technicznych komunikuje się między sobą bez udziału człowieka. Gwałtownie rozwija się sztuczna inteligencja, wymagająca specjalistycznego oprogramowania. Nie dziwi więc, że jego rozwój ciągle przyspiesza. W obliczu tych faktów odpowiedź na pytanie, jakiego języka programowania warto się nauczyć, jest trudna. Nawet dla osoby, która wie, w jaki sposób zamierza w przyszłości korzystać ze swoich informatycznych umiejętności. Autor książki proponuje nieco inne podejście do nauki programowania. Zachęca do zapoznania się z podstawowymi własnościami i możliwymi zastosowaniami kilku odległych od siebie, ale niezwykle ważnych aktualnie języków programowania, takich jak Python, Java SE, JavaScript i Prolog. W trakcie ich poznawania czytelnicy będą mieli okazję zgłębić filozofię programowania, a równocześnie zdobywać praktyczne umiejętności programistyczne na podstawowym poziomie. Starannie dobrany kod pokazuje możliwe zastosowania wybranych języków programowania. Pomoc w nauce stanowią też zadania do samodzielnego rozwiązania.
Ivo Balbaert
The release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you’ll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications.
Kivy Blueprints. Build your very own app-store-ready, multi-touch games and applications with Kivy!
Mark Vasilkov
This book is intended for programmers who are comfortable with the Python language and who want to build desktop and mobile applications with rich GUI in Python with minimal hassle. Knowledge of Kivy is not strictly required—every aspect of the framework is described when it's first used.
Kivy Cookbook. Enhance your skills in developing multi-touch applications with Kivy
Hugo Solis
Kivy is an open-source Python library for rapid development of applications that make use of innovative user interfaces, such as multi-touch apps. It is a promising Python framework to develop UI and UX apps in a cross-platform environment, under the Python philosophy.Kivy Cookbook is a practical book that will guide you through the Kivy framework to develop apps and get your apps ready for distribution in App Store and Android devices.You will start off with installing Kivy and building your interfaces. You will learn how to work the accelerometer and create custom events. Then, you will understand how to use the basics, buttons, labels and text inputs and manipulate the widget tree. Next, you will be able to work with manipulating instructions, create an atlas and layouts. Moving on, you will learn packing for Windows and packing for iOS, and use TestDrive.By the end of the book, you will have learnt in detail the relevant features and tools in Kivy and how to create portable packages to distribute your apps in the most used platforms.
LangChain in your Pocket. LangChain Essentials: From Basic Concepts to Advanced Applications
Mehul Gupta
LangChain in your Pocket offers a detailed exploration into the LangChain framework, designed to enhance your skills in developing sophisticated language understanding models and applications. This book begins with the basics, introducing you to the fundamental concepts of LangChain through a simple Hello World example. As you progress, you'll delve into various LangChain modules, learning how to create agents, manage memory, and utilize output parsers effectively.The journey continues as you explore the RAG Framework, vector databases, and their applications in natural language processing, providing you with the tools to tackle common NLP problems efficiently. The book also addresses critical aspects of working with large language models (LLMs), such as prompt engineering, handling hallucinations, and evaluating model outputs. Advanced topics like autonomous AI agents and the integration of LangSmith and LangServe are covered, giving you a holistic view of what you can achieve with LangChain.By the end of this book, you will not only understand the technical aspects of LangChain but also how to apply these principles in real-world scenarios, making it an essential resource for anyone looking to advance their capabilities in AI and language processing.
Julien Simon
Amazon SageMaker enables you to quickly build, train, and deploy machine learning models at scale without managing any infrastructure. It helps you focus on the machine learning problem at hand and deploy high-quality models by eliminating the heavy lifting typically involved in each step of the ML process. This second edition will help data scientists and ML developers to explore new features such as SageMaker Data Wrangler, Pipelines, Clarify, Feature Store, and much more.You'll start by learning how to use various capabilities of SageMaker as a single toolset to solve ML challenges and progress to cover features such as AutoML, built-in algorithms and frameworks, and writing your own code and algorithms to build ML models. The book will then show you how to integrate Amazon SageMaker with popular deep learning libraries, such as TensorFlow and PyTorch, to extend the capabilities of existing models. You'll also see how automating your workflows can help you get to production faster with minimum effort and at a lower cost. Finally, you'll explore SageMaker Debugger and SageMaker Model Monitor to detect quality issues in training and production.By the end of this Amazon book, you'll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation.
Learn Apache Mesos. A beginner's guide to scalable cluster management and deployment
Manuj Aggarwal
Apache Mesos is an open source cluster manager that provides efficient resource isolation and sharing across distributed applications or frameworks. This book will help you build a strong foundation of Mesos' capabilities along with practical examples to support the concepts explained throughout the book.Learn Apache Mesos dives straight into how Mesos works. You will be introduced to the distributed system and its challenges and then learn how you can use Mesos and its framework to solve data problems. You will also gain a full understanding of Mesos' internal mechanisms and get equipped to use Mesos and develop applications. Furthermore, this book lets you explore all the steps required to create highly available clusters and build your own Mesos frameworks. You will also cover application deployment and monitoring.By the end of this book, you will have learned how to use Mesos to make full use of machines and how to simplify data center maintenance.
Christoffer Noring, Dan Wahlin
Learn Model Context Protocol with Python introduces developers, architects, and AI practitioners to the transformative capabilities of Model Context Protocol (MCP), an emerging protocol designed to standardize, distribute, and scale AI-driven applications. Through the lens of a practical project, the book tackles the modern challenges of resource management, client-server interaction, and deployment at scale.Drawing from Christoffer's expertise as a published author and tutor at the University of Oxford, you’ll explore the components of MCP and how they streamline server and client development. Next, you’ll progress from building robust backends and integrating LLMs into intelligent clients to interacting with servers via tools such as Claude for desktop and Visual Studio Code agents. The chapters help you understand how to describe the capabilities of hosts, clients, and servers, facilitating better interoperability, easier integration, and clearer communication between different components.The book also covers security best practices and building for the cloud, ensuring that you're ready to deploy your MCP-based apps. Each chapter enables you to develop hands-on skills for building and operating MCP-based agentic apps. The Python primer at the end rounds out the practical toolkit, making this book essential for any team building AI-native applications today.
Greg Moss
Odoo is management software that contains a set of open source enterprise management applications that help you modernize your business.Completely revised and updated, this comprehensive Odoo guide is a fourth edition of Working with Odoo. This book begins with an introduction to Odoo and helps you set up Odoo Online in your system. You'll learn how to start a new company database in Odoo and the basics of Odoo sales management. You will explore customer relationship management in Odoo and its importance in a modern business environment. Moving on, you'll learn how to install the purchasing application, set up suppliers, and begin purchasing and receiving products in Odoo. Next, you'll learn how to use the MRP module to create, process, and schedule the manufacturing and production order. Once you get to grips with the basic applications, you'll uncover how to customize Odoo to meet the specific needs of your business. You'll learn some advanced techniques for searching and finding information, and you'll be taken through business intelligence in Odoo. Towards the end of the book, you'll go in-depth into Odoo's architecture and learn to use Odoo's API to integrate with other applications. By the end of the book, you'll be ready to use Odoo to build enterprise applications and set up the functional requirements for your business.
Cody Jackson
Python is a cross-platform language used by organizations such as Google and NASA. It lets you work quickly and efficiently, allowing you to concentrate on your work rather than the language. Based on his personal experiences when learning to program, Learn Programming in Python with Cody Jackson provides a hands-on introduction to computer programming utilizing one of the most readable programming languages–Python. It aims to educate readers regarding software development as well as help experienced developers become familiar with the Python language, utilizing real-world lessons to help readers understand programming concepts quickly and easily. The book starts with the basics of programming, and describes Python syntax while developing the skills to make complete programs. In the first part of the book, readers will be going through all the concepts with short and easy-to-understand code samples that will prepare them for the comprehensive application built in parts 2 and 3. The second part of the book will explore topics such as application requirements, building the application, testing, and documentation. It is here that you will get a solid understanding of building an end-to-end application in Python. The next part will show you how to complete your applications by converting text-based simulation into an interactive, graphical user interface, using a desktop GUI framework. After reading the book, you will be confident in developing a complete application in Python, from program design to documentation to deployment.
Philipp Kats, David Katz
Python is the most widely used programming language for building data science applications. Complete with step-by-step instructions, this book contains easy-to-follow tutorials to help you learn Python and develop real-world data science projects. The “secret sauce” of the book is its curated list of topics and solutions, put together using a range of real-world projects, covering initial data collection, data analysis, and production.This Python book starts by taking you through the basics of programming, right from variables and data types to classes and functions. You’ll learn how to write idiomatic code and test and debug it, and discover how you can create packages or use the range of built-in ones. You’ll also be introduced to the extensive ecosystem of Python data science packages, including NumPy, Pandas, scikit-learn, Altair, and Datashader. Furthermore, you’ll be able to perform data analysis, train models, and interpret and communicate the results. Finally, you’ll get to grips with structuring and scheduling scripts using Luigi and sharing your machine learning models with the world as a microservice.By the end of the book, you’ll have learned not only how to implement Python in data science projects, but also how to maintain and design them to meet high programming standards.
Learn Python in 7 Days. Begin your journey with Python
Mohit Raj, Bhaskar N. Das
Python is a great language to get started in the world of programming and application development. This book will help you to take your skills to the next level having a good knowledge of the fundamentals of Python.We begin with the absolute foundation, covering the basic syntax, type variables and operators. We'll then move on to concepts like statements, arrays, operators, string processing and I/O handling. You’ll be able to learn how to operate tuples and understand the functions and methods of lists. We’ll help you develop a deep understanding of list and tuples and learn python dictionary. As you progress through the book, you’ll learn about function parameters and how to use control statements with the loop. You’ll further learn how to create modules and packages, storing of data as well as handling errors. We later dive into advanced level concepts such as Python collections and how to use class, methods, objects in python.By the end of this book, you will be able to take your skills to the next level having a good knowledge of the fundamentals of Python.
Fabrizio Romano, Heinrich Kruger
Learn Python Programming, Fourth Edition, provides a comprehensive, up-to-date introduction to Python programming, covering fundamental concepts and practical applications. This edition has been meticulously updated to include the latest features from Python versions 3.9 to 3.12, new chapters on type hinting and CLI applications, and updated examples reflecting modern Python web development practices. This Python book empowers you to take ownership of writing your software and become independent in fetching the resources you need. By the end of this book, you will have a clear idea of where to go and how to build on what you have learned from the book.Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned. This Python book offers a clear and practical guide to mastering Python and applying it effectively in various domains, such as data science, web development, and automation.