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Tabla de Contenidos: “…-- Characteristics of Time Series -- Time Series and Forecasting - Past and Present -- Demography -- Genetics -- Astronomy -- Economics -- Meteorology -- Medicine -- Applied Statistics -- Python for Time Series -- Installing libraries -- Jupyter Notebook and JupyterLab -- NumPy -- pandas -- Best practice in Python -- Summary -- Chapter 2: Time-Series Analysis with Python -- What is time series analysis? …”

Tabla de Contenidos: “…Performance assessment -- Additional analytics libraries -- NumPy and SciPy -- matplotlib -- Summary -- Chapter 6: Measuring Healthcare Quality -- Introduction to healthcare measures -- US Medicare value-based programs -- The Hospital Value-Based Purchasing (HVBP) program -- Domains and measures -- The clinical care domain -- The patient- and caregiver-centered experience of care domain -- Safety domain -- Efficiency and cost reduction domain -- The Hospital Readmission Reduction (HRR) program -- The Hospital-Acquired Conditions (HAC) program -- The healthcare-acquired infections domain -- The patient safety domain -- The End-Stage Renal Disease (ESRD) quality incentive program -- The Skilled Nursing Facility Value-Based Program (SNFVBP) -- The Home Health Value-Based Program (HHVBP) -- The Merit-Based Incentive Payment System (MIPS) -- Quality -- Advancing care information -- Improvement activities -- Cost -- Other value-based programs -- The Healthcare Effectiveness Data and Information Set (HEDIS) -- State measures -- Comparing dialysis facilities using Python -- Downloading the data -- Importing the data into your Jupyter Notebook session -- Exploring the data rows and columns -- Exploring the data geographically -- Displaying dialysis centers based on total performance -- Alternative analyses of dialysis centers -- Comparing hospitals -- Downloading the data -- Importing the data into your Jupyter Notebook session -- Exploring the tables -- Merging the HVBP tables -- Summary -- References -- Chapter 7: Making Predictive Models in Healthcare -- Introduction to predictive analytics in healthcare -- Our modeling task - predicting discharge statuses for ED patients -- Obtaining the dataset -- The NHAMCS dataset at a glance -- Downloading the NHAMCS data -- Downloading the ED2013 file -- Downloading the list of survey items - body_namcsopd.pdf…”

Tabla de Contenidos: “…DirecciónConcepto; Importancia de la dirección; Supervisión; Comunicación; Liderazgo; Motivación; El enfoque de motivación-higiene; Toma de decisiones; La coordinación; Control; Concepto; Importancia del control; Principios de control; Etapas o ciclo de control; Tipo o enfoques del control; Clases de control; Capítulo 5 Desarrollo organizacional; Antecedentes; Concepto; Características del desarrollo organizacional; Clima organizacional; Cultura organizacional; Cambio organizacional; Impacto del desarrollo organizacional en México; El desarrollo organizacional en las PyMEs…”

Tabla de Contenidos: “…Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Installing Beautiful Soup; Installing Beautiful Soup; Installing Beautiful Soup in Linux; Installing Beautiful Soup using package manager; Installing Beautiful Soup using pip or easy_install; Installing Beautiful Soup using pip; Installing Beautiful Soup using easy_install; Installing Beautiful Soup in Windows; Verifying Python path in Windows; Installing Beautiful Soup using setup.py; Using Beautiful Soup without installation; Verifying the installation; Quick reference…”

Tabla de Contenidos: “…OS Soup; Introduction; Cross-Platform Unix Programming in Python; Using SSH Keys, NFS-Mounted Source Directory, and Cross-Platform Python to Manage Systems; Creating a Cross-Platform, Systems Management Tool; Creating a Cross-Platform Build Network; PyInotify; OS X; Scripting DSCL or Directory Services Utility; OS X Scripting APIs; Automatically Re-Imaging Machines…”

Tabla de Contenidos: “…Mouse and Keyboard Event NormalizationStandardized Key Codes; Event Listeners; Event Propagation; Leveraging Closures with dojo.connect; One-time connections; Setting up connections within a loop; Connecting in Markup; Publish/Subscribe Communication; Summary; AJAX and Server Communication; Quick Overview of AJAX; JSON; AJAX Made Easy; XHR Examples; General Purpose XMLHttpRequest Calls; Hitching Up Callbacks; Deferreds; Deferred Examples Via CherryPy; Using Deferreds returned from XHR functions; Injecting Deferreds into XHR functions; Custom canceller; DeferredList; Form and HTTP Utilities…”

Tabla de Contenidos: “…ForkSelect; Pipes; The Python for Windows Extensions; Win32 Extensions; PythonWin; PythonCOM; The Python Imaging Library (PIL); PyOpenGL; Web Publishing Tools; Medusa; Zope; The mx Extensions; mxDateTime; mxTextTools; mxODBC; mxStack; mxTools; mxCrypto; mxProxy; Scientific Tools; XML; Conclusion; Integrated Development Environments for Python; The PythonWin IDE; The PythonWin Environment; Running scripts; Import modules; Checking modules; Locating source files; Command-Line Parameters; The Interactive Window; The Python Editor; Python Path Browser; Object Browser; Windows Explorer Integration…”

Tabla de Contenidos: “…Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: First Steps; Introduction; Installing matplotlib; Plotting one curve; Using NumPy; Plotting multiple curves; Plotting curves from file data; Plotting points; Plotting bar charts; Plotting multiple bar charts; Plotting stacked bar charts; Plotting back-to-back bar charts; Plotting pie charts; Plotting histograms; Plotting boxplots; Plotting triangulations; Chapter 2: Customizing the Color and Styles; Introduction; Defining your own colors…”

Tabla de Contenidos: “…-- Data analysts -- Data engineers -- Data scientists -- Machine learning engineers -- Summary -- Sample questions -- Chapter 3: Spark Architecture and Transformations -- Spark architecture -- Execution hierarchy -- Spark components -- Spark driver -- SparkSession -- Cluster manager -- Spark executors -- Partitioning in Spark -- Deployment modes -- RDDs -- Lazy computation -- Transformations -- Summary -- Sample questions -- Answers -- Part 3: Spark Operations -- Chapter 4: Spark DataFrames and their Operations -- Getting Started in PySpark -- Installing Spark -- Creating a Spark session -- Dataset API -- DataFrame API -- Creating DataFrame operations -- Using a list of rows -- Using a list of rows with schema -- Using Pandas DataFrames -- Using tuples -- How to view the DataFrames -- Viewing DataFrames -- Viewing top n rows -- Viewing DataFrame schema -- Viewing data vertically…”

Texto completo en Odilo

Texto completo en Odilo

Texto completo en Odilo