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Book Python desde el laboratorio

    Book Details:
  • Author : Teodoro Córdova Neri
  • Publisher :
  • Release : 2024
  • ISBN : 9788426737663
  • Pages : 0 pages

Download or read book Python desde el laboratorio written by Teodoro Córdova Neri and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Python desde el laboratorio

Download or read book Python desde el laboratorio written by Teodoro Córdova Neri and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Python desde el laboratorio  Aplicaciones GUI  integraci  n con base de datos e inteligencia artificial

Download or read book Python desde el laboratorio Aplicaciones GUI integraci n con base de datos e inteligencia artificial written by Sara Arana Torres and published by Marcombo. This book was released on 2024-03-05 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Descubra las ventajas de integrar Python con las aplicaciones GUI, las bases de datos y la inteligencia artificial En la era digital actual, las interfaces gráficas de usuario (GUI) y la inteligencia artificial (IA) juegan un papel crucial en la informática, facilitando la interacción del usuario y optimizando procesos. Si quiere dominar estos conceptos, ha llegado al libro indicado. Enfocado en la programación gráfica (GUI), el libro recoge diversas técnicas para la consulta de registros. También presenta una integración única entre plataformas de ingeniería de software y hardware de última generación, combinando archivos binarios o de texto con Tkinter (GUI) y Python con bases de datos como SQLite o SQL (lenguaje de consulta estructurada). Este enfoque multidisciplinar es fundamental para el diseño de sistemas de mantenimiento eficientes y modernos. Asimismo, este libro constituye una exploración práctica de la inteligencia artificial, la técnica más avanzada de este siglo. Mediante ejercicios, aprenderá a aplicar la IA en el reconocimiento de imágenes y otros objetos, adquiriendo habilidades valiosas para el campo tecnológico, que está en constante evolución. Dirigido a estudiantes y profesionales de informática, programadores y entusiastas tecnológicos, esta es sin duda una herramienta indispensable si busca profundizar en el mundo de la programación Python, la creación de GUI y la aplicación práctica de la inteligencia artificial. No se quede atrás, domine las habilidades que definirán el futuro de la informática. Con el objetivo de fortalecer sus conocimientos básicos y medios sobre Python, los autores Teodoro Córdova y Sara Arana han preparado tres libros más. ¡Hágase con ellos y complete su camino hacia la excelencia en Python!

Book Python desde el laboratorio  Estructuras de datos

Download or read book Python desde el laboratorio Estructuras de datos written by Sara Arana Torres and published by Marcombo. This book was released on 2024-03-05 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dé un paso más allá en Python y domine las estructuras de datos En el dinámico mundo de la tecnología, las estructuras de datos son el pilar sobre el que las empresas construyen su capacidad para administrar información y forjar estrategias de crecimiento. Este libro le invita a sumergirse en el fascinante mundo de las estructuras de datos más utilizadas, como las listas y arrays; todas ellas fundamentales en Python. Gracias a su lectura, profundizará en el conocimiento de estas estructuras a través de una serie de ejercicios prácticos, donde aprenderá no solo la teoría sino también la implementación efectiva de listas, arrays (incluyendo técnicas y arreglos) y tuplas (abarcando métodos y diccionarios), habilidades imprescindibles en el campo de la programación. Dirigido a estudiantes, profesionales de la informática, programadores y a cualquier persona interesada en Python, este libro es una herramienta indispensable para comprender y aplicar de manera efectiva las estructuras de datos en proyectos reales. "Listas "Estructura de datos: arrays "Tuplas Indicado para estudiantes, profesionales en informática, programadores y entusiastas del tema, este es el recurso ideal para adentrarse de lleno en Python y aplicar sus potentes capacidades en proyectos y retos profesionales con confianza. Si quiere asentar sus conocimientos básicos sobre Python, o bien avanzar en el tema, los autores Teodoro Córdova y Sara Arana han preparado tres libros más. ¡Hágase con ellos y complete su camino hacia la excelencia en Python!

Book Python desde el laboratorio

Download or read book Python desde el laboratorio written by Teodoro Córdova Neri and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Python desde el laboratorio  Registros  archivos y programaci  n din  mica

Download or read book Python desde el laboratorio Registros archivos y programaci n din mica written by Teodoro Córdova Neri and published by Marcombo. This book was released on 2024-03-05 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Profundice en el mundo Python y domine los registros, los archivos y la programación dinámica En el ámbito de la informática, trabajar con registros y archivos es básico para manejar un lenguaje de programación. Estas herramientas no solo simplifican procesos, sino que también potencian la eficiencia y la organización dentro de cualquier entorno empresarial. Este libro es una ventana al aprendizaje práctico de conceptos vitales en programación, como los métodos pickle y readlines, y las estructuras dinámicas (pilas LIFO y colas FIFO). Gracias a la gama de ejercicios y ejemplos detallados que presenta el libro, no solo adquirirá conocimientos teóricos, sino que también podrá ponerlos en práctica en sus proyectos. "Cadenas "Registros y archivos Orientado a estudiantes, profesionales de la informática, programadores y a todo aquel interesado en profundizar en Python, este es el recurso ideal para sumergirse completamente en Python y utilizar sus amplias funcionalidades en proyectos y desafíos profesionales con seguridad y eficacia. Si quiere asentar sus conocimientos básicos y medios sobre Python, los autores Teodoro Córdova y Sara Arana han preparado tres libros más. ¡Hágase con ellos y complete su camino hacia la excelencia en Python!

Book Laboratorio de comunicaciones digitales en Python

Download or read book Laboratorio de comunicaciones digitales en Python written by and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Python desde el laboratorio

Download or read book Python desde el laboratorio written by Teodoro Córdova Neri and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Python for the Lab

    Book Details:
  • Author : Aquiles Carattino
  • Publisher :
  • Release : 2020-10-11
  • ISBN : 9781716517686
  • Pages : 190 pages

Download or read book Python for the Lab written by Aquiles Carattino and published by . This book was released on 2020-10-11 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python for the Lab is the first book covering how to develop instrumentation software. It is ideal for researchers willing to automatize their setups and bring their experiments to the next level. The book is the product of countless workshops at different universities, and a carefully design pedagogical strategy. With an easy to follow and task-oriented design, the book uncovers all the best practices in the field. It also shows how to design code for long-term maintainability, opening the doors of fruitful collaboration among researchers from different labs.

Book Quantitative Biosciences Companion in Python

Download or read book Quantitative Biosciences Companion in Python written by Joshua S. Weitz and published by Princeton University Press. This book was released on 2024-01-09 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on lab guide in the Python programming language that enables students in the life sciences to reason quantitatively about living systems across scales This lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Encourages good coding practices, clear and understandable modeling, and accessible presentation of results Helps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale Builds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations Bridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own Stand-alone computational lab guides for Quantitative Biosciences also available in R and MATLAB

Book Learning Python Through LAB Based Approach

Download or read book Learning Python Through LAB Based Approach written by Abhinandan H. Patil and published by . This book was released on 2023-04-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is totally informal and unconventional in its approach. Theory text is kept bare minimal. Targeted readers of this book are novice Python programmers. Author mentions about some Authoritative books by other competent Authors for beginners. The Author takes problem and solution approach . This book contains close to 20 practical problems and their solutions for beginners. The Author strongly asserts his copyright over content in this book that he prepared for teaching. This book is lab oriented and tests you on your learned concepts. After solving all the problems you should have gained some knowledge in Python. The intention of these book is to help novice learner. Good luck!.

Book Python for the Life Sciences

Download or read book Python for the Life Sciences written by Alexander Lancaster and published by . This book was released on 2019 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written in a fun, accessible and engaging style, this book will introduce you to the Python language with fully worked examples of Python code drawn from all aspects of life sciences, including bioinformatics, structural biology, developmental biology, and evolutionary biology and ecology. Using familiar examples designed specifically for life scientists, you'll learn the basics of the language from the very first chapters and progress from there. You'll find out how to use Python to automate lab calculations, search for gene promoter sequences, rotate a molecular bond, build a cellular toggle switch, model animal coat pattern formation, grow a virtual plant, simulate a flu epidemic, or evolve populations. Python for the Life Sciences provides the tools, confidence and inspiration to start crafting your own Python solutions for the challenges you face in your research. If you are a life scientist interested in learning Python to jump-start your research, this book is for you. What You'll Learn Write Python scripts to automate your lab calculations Search for important motifs in genome sequences Use object-oriented programming with Python Study mining interaction network data for patterns Review dynamic modeling of biochemical switches Who This Book Is For Life scientists with little or no programming experience, including undergraduate and graduate students, postdoctoral researchers in academia and industry, medical professionals, and teachers/lecturers. "A comprehensive introduction to using Python for computational biology ... A lovely book with humor and perspective"--John Novembre, Associate Professor of Human Genetics, University of Chicago and MacArthur Fellow "Fun, entertaining, witty and darn useful. A magical portal to the big data revolution" -- Sandro Santagata, Assistant Professor in Pathology, Harvard Medical School "Alex and Gordon's enthusiasm for Python is contagious" -- Glenys Thomson Professor of Integrative Biology, University of California, Berkeley.

Book Python for Data Science

    Book Details:
  • Author : Z Fetcher
  • Publisher : Independently Published
  • Release : 2020-11-13
  • ISBN :
  • Pages : 132 pages

Download or read book Python for Data Science written by Z Fetcher and published by Independently Published. This book was released on 2020-11-13 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is meant and designed mainly for those learner who have programming background and want to learn Python for their benefits.

Book Real World Instrumentation with Python

Download or read book Real World Instrumentation with Python written by John M. Hughes and published by "O'Reilly Media, Inc.". This book was released on 2010-11-15 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to develop your own applications to monitor or control instrumentation hardware. Whether you need to acquire data from a device or automate its functions, this practical book shows you how to use Python's rapid development capabilities to build interfaces that include everything from software to wiring. You get step-by-step instructions, clear examples, and hands-on tips for interfacing a PC to a variety of devices. Use the book's hardware survey to identify the interface type for your particular device, and then follow detailed examples to develop an interface with Python and C. Organized by interface type, data processing activities, and user interface implementations, this book is for anyone who works with instrumentation, robotics, data acquisition, or process control. Understand how to define the scope of an application and determine the algorithms necessary, and why it's important Learn how to use industry-standard interfaces such as RS-232, RS-485, and GPIB Create low-level extension modules in C to interface Python with a variety of hardware and test instruments Explore the console, curses, TkInter, and wxPython for graphical and text-based user interfaces Use open source software tools and libraries to reduce costs and avoid implementing functionality from scratch

Book Python for Programmers

Download or read book Python for Programmers written by Paul Deitel and published by Prentice Hall. This book was released on 2019-03-15 with total page 1259 pages. Available in PDF, EPUB and Kindle. Book excerpt: The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python–one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® WatsonTM, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop®, SparkTM and NoSQL databases, the Internet of Things and more. You’ll also work directly or indirectly with cloud-based services, including Twitter, Google TranslateTM, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more. Features 500+ hands-on, real-world, live-code examples from snippets to case studies IPython + code in Jupyter® Notebooks Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions Procedural, functional-style and object-oriented programming Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames Static, dynamic and interactive visualizations Data experiences with real-world datasets and data sources Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression AI, big data and cloud data science case studies: NLP, data mining Twitter®, IBM® WatsonTM, machine learning, deep learning, computer vision, Hadoop®, SparkTM, NoSQL, IoT Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn®, Keras and more Accompanying code examples are available here: http://ptgmedia.pearsoncmg.com/imprint_downloads/informit/bookreg/9780135224335/9780135224335_examples.zip. Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for more information.

Book Computational Science and Its Applications   ICCSA 2014

Download or read book Computational Science and Its Applications ICCSA 2014 written by Beniamino Murgante and published by Springer. This book was released on 2014-07-01 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six-volume set LNCS 8579-8584 constitutes the refereed proceedings of the 14th International Conference on Computational Science and Its Applications, ICCSA 2014, held in Guimarães, Portugal, in June/July 2014. The 347 revised papers presented in 30 workshops and a special track were carefully reviewed and selected from 1167. The 289 papers presented in the workshops cover various areas in computational science ranging from computational science technologies to specific areas of computational science such as computational geometry and security.

Book Data Science Manuale Italiano     Advanced Machine Learning e Deployment

Download or read book Data Science Manuale Italiano Advanced Machine Learning e Deployment written by Mario A. B. Capurso and published by Mario Capurso. This book was released on 2023-09-08 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Questa opera segue il curriculum 2021 della Association for Computing Machinery per specialisti in Scienze dei Dati, con l’obiettivo di costituire un “Bignami” della Scienza ed Ingegneria dei Dati e facilitare il percorso di formazione personale a partire da competenze specialistiche in Informatica o Matematica o Statistica per un lettore di lingua madre italiana. Parte di una serie di testi, riepiloga prima di tutto la metodologia di lavoro standard CRISP DM utilizzata in questa opera e in progetti di Scienza dei Dati. Poichè questo testo utilizza Orange per gli aspetti applicativi, ne descrive l’installazione ed i widget. La fase di modellizzazione dei dati viene considerata nell’ottica dell’apprendimento automatico riepilogando i tipi di apprendimento automatico, i tipi di modelli, i tipi di problemi e i tipi di algoritmi. Sono descritti gli aspetti avanzati associati alla modellizzazione quali le funzioni di perdita e di ottimizzazione come la gradient descent, le tecniche per analizzare le prestazioni dei modelli come il Bootstrapping e la Cross Validation. Vengono analizzati gli scenari di deployment e le più comuni piattaforme, con esempi applicativi. Vengono proposti i meccanismi per automatizzare l’apprendimento automatico e per supportare l’interpretabilità dei modelli e dei risultati come Partial Dependence Plot, Permuted Feature Importance e altre. Gli esercizi sono descritti con Orange e Python con l’uso della libreria Keras/Tensorflow. Il testo è corredato di materiale di supporto ed è possibile scaricare gli esempi in Orange e i dati di prova.