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1por Bressert, Eli“…Are you new to SciPy and NumPy? Do you want to learn it quickly and easily through examples and a concise introduction? …”
Publicado 2013
Libro electrónico -
2por Marcos Loidi, JonatanTabla de Contenidos: “…Intro -- Sobre este libro -- Agradecimientos -- Consideraciones previas -- Introducción -- ¡Ser PyME, una bendición! -- Toda gran empresa fue pequeña -- Más respeto por la palabra empresario -- El centro de gravedad de las PyMEs -- Emprendedores versus empresarios -- Etapas de crecimiento de las PyMEes -- Gerenciamiento PyME: ¿Dueño de mi capital o dueño de mis objetivos? …”
Publicado 2019
Biblioteca Universitat Ramon Llull (Otras Fuentes: Universidad Loyola - Universidad Loyola Granada, Biblioteca de la Universidad Pontificia de Salamanca)Libro electrónico -
3
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4Publicado 2017Tabla de Contenidos: “…. -- Checking the Anaconda installation -- How to do it... -- Installing SciPy from a binary distribution on Windows -- How to do it... -- Installing Python -- Installing the SciPy stack -- Installing SciPy from a binary distribution on macOS -- How to do it... -- Installing the Xcode command-line tools -- Installing Homebrew -- Installing Python 3 -- Installing the SciPy stack -- Installing SciPy from source on Linux -- How to do it... -- Installing Python 3 -- Installing the SciPy stack -- Installing optional packages with conda -- Getting ready -- How to do it... -- Installing packages with pip -- How to do it... -- Setting up a virtual environment with conda -- Getting ready -- How to do it... -- Creating a virtual environment for development with conda -- Getting ready -- How to do it... -- Creating a conda environment with a different version of a package -- Getting ready -- How to do it... -- Using conda environments to run different versions of Python -- Getting ready -- How to do it... -- Creating virtual environments with venv -- How to do it... -- Running SciPy in a script -- Getting ready -- How to do it... -- Running SciPy in Jupyter -- Getting ready -- How to do it... -- Running SciPy in Spyder -- Getting ready -- How to do it... -- Running SciPy in PyCharm -- Getting started -- How to do it... -- Chapter 2: Getting Started with NumPy -- Introduction -- Creating NumPy arrays -- How to do it... -- Creating an array from a list…”
Libro electrónico -
5Publicado 2022“…PyTorch pocket reference. German…”
Libro electrónico -
6Publicado 2022Tabla de Contenidos: “…Intro -- Table of Contents -- About the Author -- About the Technical Reviewers -- Acknowledgments -- Introduction -- Chapter 1: Getting Started with PyQt -- The PyQt Framework -- Why Choose PyQt? -- PyQt5 vs. …”
Libro electrónico -
7Publicado 2015“…Implement state-of-the-art techniques to visualize solutions to challenging problems in scientific computing, with the use of the SciPy stack About This Book Master the theory and algorithms behind numerical recipes and how they can be applied to real-world problems Learn to combine the most appropriate built-in functions from the SciPy stack by understanding the connection between the sources of your problem, volume of data, or computer architecture A comprehensive coverage of all the mathematical techniques needed to solve the presented topics, with a discussion of the relevant algorithms built in the SciPy stack Who This Book Is For If you are a mathematician, engineer, or computer scientist with a proficiency in Python and familiarity with IPython, this is the book for you. …”
Libro electrónico -
8Publicado 2016“…Boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy About This Book Optimize your Python scripts with powerful NumPy modules Explore the vast opportunities to build outstanding scientific/ analytical modules by yourself Packed with rich examples to help you master NumPy arrays and universal functions Who This Book Is For If you are an experienced Python developer who intends to drive your numerical and scientific applications with NumPy, this book is for you. …”
Libro electrónico -
9Publicado 2015“…In this Introduction to PySpark training course, expert author Alex Robbins will teach you everything you need to know about the Spark Python API. …”
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10Publicado 2017“…You will get familiar with the modules available in PySpark. You will learn how to abstract data with RDDs and DataFrames and understand the streaming capabilities of PySpark. …”
Libro electrónico -
11por Mishra, Raju Kumar. authorTabla de Contenidos: “…Chapter 1: The Era of Big Data, Hadoop, and Other Big Data Processing Frameworks -- Chapter 2: Installation -- Chapter 3: Introduction to Python and NumPy -- Chapter 4: Spark Architecture and Resilient Distributed Dataset -- Chapter 5: The Power of Pairs: Paired RDD -- Chapter 6: IO in PySpark -- Chapter 7: Optimizing PySpark and PySpark Streaming -- Chapter 8: PySparkSQL -- Chapter 9: PySpark MLlib and Linear Regression…”
Publicado 2018
Libro electrónico -
12Publicado 2018Tabla de Contenidos: “…. -- Chapter 7: Structured Streaming with PySpark -- Introduction -- Understanding Spark Streaming…”
Libro electrónico -
13Publicado 2017Tabla de Contenidos: “…Copyright; Table of Contents; Preface; Who Is This Book For?; Why SciPy?; What Is the SciPy Ecosystem?; The Great Cataclysm: Python 2 Versus Python 3; SciPy Ecosystem and Community; Free and Open Source Software (FOSS); GitHub: Taking Coding Social; Make Your Mark on the SciPy Ecosystem; A Touch of Whimsy with Your Py; Getting Help; Installing Python; Accessing the Book Materials; Diving In; Conventions Used in This Book; Use of Color; Using Code Examples; O'Reilly Safari; How to Contact Us; Acknowledgments; Chapter 1. …”
Libro electrónico -
14por Mishra, Pradeepta. authorTabla de Contenidos: “…Chapter 1: Introduction PyTorch, Tensors, Tensor Operations and Basics -- Chapter 2: Probability distributions using PyTorch -- Chapter 3: Convolutional Neural Network and RNN using PyTorch -- Chapter 4: Introduction to Neural Networks, Tensor Differentiation -- Chapter 5: Supervised Learning using PyTorch -- Chapter 6: Fine Tuning Deep Learning Algorithms using PyTorch -- Chapter 7: NLP and Text Processing using PyTorch…”
Publicado 2019
Libro electrónico -
15Publicado 2016“…PyHPC '16…”
Libro electrónico -
16Publicado 2015Tabla de Contenidos: “…Installing the pluginDebugging the file; File watchers; Summary; Chapter 11: Web Development with PyCharm; Database tools; Adding a data source; Connecting to a database; Adding files; Using the SQL console; Parameterized statements; Console history; Database diagrams; Exporting data; Copying DDLs; Exporting the table contents; Web frameworks; Common features; Support for templating engines; Customized project creation; Debugging in templates; Django; Setting up Django; Model dependency diagrams; Manage.py tasks; Django Console; Summary; Index…”
Libro electrónico -
17Publicado 2024“…Embark on a foundational journey with NumPy, starting with an overview and setting up the scientific Python environment. …”
Vídeo online -
18por Willman, Joshua M. authorTabla de Contenidos: “…Chapter 1 - Charting the Course -- Chapter 2 - Getting Started -- Chapter 3 - Adding Functions Through Buttons -- Chapter 4 - Learning about Layout -- Chapter 5 - Menus, Toolbars,and More -- Chapter 6 - Styling Your GUIs -- Chapter 7 - Creating GUIs with Qt Designer -- Chapter 8 - Working with the Clipboard -- Chapter 9 - Graphics and Animation in PyQt -- Chapter 10 - Intro to Handling Databases -- Chapter 11 - Asynchronous Programming -- Chapter 12 - Extra Projects -- Appendix A - Reference Guide for PyQt -- Appendix B - Python Refresher…”
Publicado 2020
Libro electrónico -
19por Singh, Pramod. authorTabla de Contenidos: “…Chapter 1: Introduction to PySpark -- Chapter 2: Data Processing -- Chapter 3: Spark Structured Streaming -- Chapter 4: Airflow -- Chapter 5: Machine Learning Library (MLlib) -- Chapter 6: Supervised Machine Learning -- Chapter 7: Unsupervised Machine Learning -- Chapter 8: Deep Learning Using PySpark…”
Publicado 2019
Libro electrónico -
20Publicado 2021Tabla de Contenidos: “…Chapter 1: Overview of PyQt5 -- Chapter 2: Creating GUIs for Project Management -- Chapter 3: Data Visualization and Analysis -- Chapter 4: Database Handling with PyQt -- Chapter 5: GUIs for Computer Vision -- Chapter 6: Visualizing 3D Data -- Chapter 7: Introduction to Networking with PyQt -- Chapter 8: Creating a Chatbot -- Chapter 9: Deploying PyQt Applications…”
Libro electrónico