Texto completo en Odilo

Texto completo en Odilo

Tabla de Contenidos: “…Disassembling with the dis Module -- Defining Functions Efficiently -- Ordered Lists and bisect -- namedtuple and Slots -- Memoization -- Faster Python with PyPy -- Achieving Zero Copy with the Buffer Protocol -- Summary -- Victor Stinner on Optimization -- Chapter 11: Scaling and Architecture -- Multithreading in Python and Its Limitations -- Multiprocessing vs. …”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Automating QGIS -- Introduction -- Installing QGIS 2.18 for development -- Getting ready -- How to do it... -- Installing PyQGIS using the Debian package manager -- Installing PyQGIS using the RPM package manager -- Setting the environment variables -- Setting the environment variables on Windows -- Setting environment variables on Linux -- How it works... -- There's more... -- Finding the PyQGIS path on Windows -- Finding the location of the QGIS Python installation on other platforms -- Using the QGIS Python console for interactive control -- How to do it... -- How it works... -- Automatically starting the Python console -- Getting ready -- How to do it... -- How it works... -- Using the Python's Script Runner plugin -- Getting ready -- How to do it... -- How it works... -- There's more... -- Setting up your QGIS IDE -- Getting ready -- How to do it... -- Adding the Python interpreter to Windows -- Adding the PyQGIS module paths to the interpreter -- Adding the PyQGIS API to the IDE -- Adding environment variables -- How it works... -- Debugging QGIS Python scripts -- How to do it... -- Configuring QGIS -- Configuring Eclipse -- Testing the debugger -- How it works... -- Navigating the PyQGIS API -- Getting ready -- How to do it... -- How it works... -- There's more... -- Creating a traditional QGIS plugin -- Getting ready -- How to do it... -- How it works... -- There's more... -- Creating a Processing Toolbox plugin -- Getting ready -- How to do it... -- How it works... -- There's more... -- Distributing a plugin -- Getting ready -- How to do it... -- How it works... -- Building a standalone application -- Getting ready -- How to do it... -- How it works... -- There's more…”

Tabla de Contenidos: “…El concepto de franquicia como estrategia para el crecimiento de la pequeña y mediana empresa en el sur de Quintana Roo / Juana Edith Navarrete Marneou y José Ramón Balam Gómez -- Seguridad y desarrollo sustentable como plataforma para la competitividad de la actividad turística en Quintana Roo / Jacqueline Ganzo Olivares; Yolanda Martínez Martínez y Carlos Enrique Hernández Tapia -- La cultura empresarial y su influencia en la mejora de la gestión y el rendimiento / José Luis Esparza Aguilar -- Responsabilidad social empresarial en los restaurantes PyMEs de Playa del Carmen, Quintana Roo / José Luis Granados Sánchez; Nancy Angelina Quinta García y Mayra Josefa Barradas Viveros -- Permanencia de la pequeña y mediana empresa en el mercado / Naiber J. …”

Tabla de Contenidos: “…SELECCIÓN MÚLTIPLE: IFRS para PyMEs; 4. ESTADO DE POSICIÓN FINANCIERA IFRS DE APERTURA…”

Tabla de Contenidos: “…. - Chapter 12: Introduction to PyTorch. -Chapter 13: Regularization Techniques. - Chapter 14: Training Deep Leaning Models…”

Tabla de Contenidos: “…-Chapter 14: SSH, Paramiko, and Netmiko Lab -- Chapter 15: Automating Tasks with Cron in Python Lab -- Chapter 16: SNMP Discovery with Python Lab -- Chapter 17: Ansible and pyATS in virtualenv Lab -- Chapter 18: Sendmail and Twilio Notifications via Docker Lab -- Chapter 19: Cisco IOS Upgrade Tools Development 1 -- Chapter 20: Cisco IOS Upgrade Tools Development 2 -- Chapter 21: Building a Cisco IOS Upgrade Application -- Chapter 22: Upgrading Cisco IOS Routers Lab -- Chapter 23: Installing NetBox with Python…”

Tabla de Contenidos: “…. -- See also -- POS tagging with PySpark on an Anaconda cluster -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- NER with IPython over Spark -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Implementing openNLP - chunker over Spark -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Implementing openNLP - sentence detector over Spark -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Implementing stanford NLP - lemmatization over Spark -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Implementing sentiment analysis using stanford NLP over Spark -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Chapter 7: Working with Sparkling Water - H2O -- Introduction -- Features -- Working with H2O on Spark -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Implementing k-means using H2O over Spark -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Implementing spam detection with Sparkling Water -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Deep learning with airlines and weather data -- Getting ready -- How to do it... -- How it works...…”

Texto completo en Odilo

“…Take a tour of Python frameworks, from Appier, Cyclone, and Fantastico to Grok, Muffin, and Twisted Dive into details on the top six Python frameworks—Django, Flask, Tornado, Bottle, Pyramid, and CherryPy Review code examples, testing capabilities, best uses, and ways to get started with each of the top six Learn Python’s building blocks for creating your own framework, and explore why you’d want to pursue this option…”

“…You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies. …”

“…About the Book Geoprocessing with Python teaches you how to access available datasets to make maps or perform your own analyses using free tools like the GDAL, NumPy, and matplotlib Python modules. Through lots of hands-on examples, you’ll master core practices like handling multiple vector file formats, editing geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. …”

“…Build and deploy intelligent applications for natural language processing with Python by using industry standard tools and recently popular methods in deep learning Key Features A no-math, code-driven programmer's guide to text processing and NLP Get state of the art results with modern tooling across linguistics, text vectors and machine learning Fundamentals of NLP methods from spaCy, gensim, scikit-learn and PyTorch Book Description NLP in Python is among the most sought after skills among data scientists. …”