Tabla de Contenidos: “…Understanding the Python Development EnvironmentUnderstanding Python Syntax; The Bottom Line; Chapter 7: Python Scripting for Blender; Editing and Running Scripts in Blender; Introducing the Blender-Python API; Creating an Interactive Script; The Bottom Line; Chapter 8: The Many-Headed Snake: Other Uses of Python in Blender; Extend Blender Functionality with Python; Working with PyDrivers; Using PyNodes; Working with PyConstraints; Using Script Links and Space Handlers; The Bottom Line; Part III: Mastering the Blender Game Engine; Chapter 9: Creating Assets for the Blender Game Engine…”

“…Programming Generative AI is a hands-on tour of deep generative modeling, taking you from building simple feedforward neural networks in PyTorch all the way to working with large multimodal models capable of simultaneously understanding text and images. …”

“…Along the way, you’ll work with core algorithms, including deep Q-networks and policy gradients, along with industry-standard tools like PyTorch and OpenAI Gym…”

“…You’ll explore deep learning concepts and tools through plain language explanations, annotated code, and dozens of instantly useful PyTorch examples. Each type of neural network is clearly presented without complex math, and every solution in this book can run using readily available GPU hardware!…”

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Tabla de Contenidos: “…-- Processes -- Properties of processes -- Multiprocessing -- Event-driven programming -- Turtle -- Breaking it down -- Reactive programming -- ReactiveX - RxPy -- Breaking it down -- GPU programming -- PyCUDA -- OpenCL -- Theano -- The limitations of Python -- Jython -- IronPython -- Why should we use Python? …”

Tabla de Contenidos:

Tabla de Contenidos: “…. -- Intuitively building networks with Keras&amp -- #160 -- -- How to do it... -- Using PyTorch's dynamic computation graphs for RNNs -- How to do it... -- Implementing high-performance models with CNTK -- How to do it... -- Building efficient models with MXNet -- How to do it... -- Defining networks using simple and efficient code with Gluon -- How to do it... -- Chapter 2: Feed-Forward Neural Networks -- Introduction -- Understanding the perceptron -- How to do it... -- Implementing a single-layer neural network -- How to do it... -- Building a multi-layer neural network -- How to do it... -- Getting started with activation functions -- How to do it... -- Experiment with hidden layers and hidden units -- How to do it... -- There's more... -- Implementing an autoencoder -- How to do it... -- Tuning the loss function -- How to do it... -- Experimenting with different optimizers -- How to do it... -- Improving generalization with regularization -- How to do it... -- Adding dropout to prevent overfitting -- How to do it…”

Tabla de Contenidos: “…Gobernanza regulatoria multinivel en Chile -- Evaluación regulatoria ex post en Chile -- Análisis de la gestión de las regulaciones en Chile -- Estudio del cumplimiento de las regulaciones, la aplicación de la ley y las apelaciones en Chile -- Evaluación de las instituciones reguladoras de Chile -- Evaluación de las capacidades administrativas de Chile para formular nuevas regulaciones -- Estudio de la trayectoria de Chile hacia la reforma regulatoria -- Gobierno digital y simplificación administrativa en Chile -- Mejorar el entorno regulatorio de las PyME chilenas -- Regulación de la planeación territorial y permisos de construcción en Chile -- Evaluación y recomendaciones -- El contexto macroeconómico de Chile -- Resumen ejecutivo -- Acrónimos y abreviaturas -- Prefacio y agradecimientos…”

“…You’ll also explore tools like PyTorch Lightning, Optuna, and MLFlow that make it easy to build pipelines and scale your deep learning models in production…”

“…Learn to use the M1Ultra to train a deep learning model using Ludwig the declarative deep learning framework. 00:00 Intro 00:31 Checking out M1Ultra 64 Core GPU and 20 Core CPU 01:31 Launching Visual Studio Code with a virtualenv 01:49 Checking out Makefile for Ludwig install process on Mac M1Ultra 64 Core GPU and 20 Core CPU machine 03:27 Training the Ludwig model using PyTorch Deep Learning in 30 seconds. Rotten Tomatoes binary classification. 04:28 Checkout out model structure on disk…”

“…The reaction of trans-[(L)RuII(py)4Cl]+ or [RuII(DMAP)5(OH)]+complexes with an hexacyanometallate (III) of Fe(III) or Co(III) results in the formation of a family of dinuclear compounds, with molecular formula trans-[(L)RuII(py)4(?…”
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Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Authors -- About the Reviewer -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: Preparing Your Working Environment -- Introduction -- Installing matplotlib, NumPy, and SciPy -- Installing virtualenv and virtualenvwrapper -- Installing matplotlib on Mac OS X -- Installing matplotlib on Windows -- Installing Python Imaging Library (PIL) for image processing -- Installing a requests module -- Customizing matplotlib's parameters in code -- Customizing matplotlib's parameters per project -- Chapter 2: Knowing Your Data -- Introduction -- Importing data from CSV -- Importing data from Microsoft Excel files -- Importing data from fixed-width data files -- Importing data from tab-delimited files -- Importing data from a JSON resource -- Exporting data to JSON, CSV, and Excel -- Importing and manipulating data with Pandas -- Importing data from a database -- Cleaning up data from outliers -- Reading files in chunks -- Reading streaming data sources -- Importing image data into NumPy arrays -- Generating controlled random datasets -- Smoothing the noise in real-world data -- Chapter 3: Drawing Your First Plots and Customizing Them -- Introduction -- Defining plot types - bar, line, and stacked charts -- Drawing simple sine and cosine plots -- Defining axis lengths and limits -- Defining plot line styles, properties, and format strings -- Setting ticks, labels, and grids -- Adding legends and annotations -- Moving spines to the center -- Making histograms -- Making bar charts with error bars -- Making pie charts count -- Plotting with filled areas -- Making stacked plots -- Drawing scatter plots with colored markers -- Chapter 4: More Plots and Customizations -- Introduction -- Setting the transparency and size of axis labels -- Adding a shadow to the chart line…”

Tabla de Contenidos: “…Further reading -- Chapter 4: Econometrics and Causal Inference with Statsmodels and PyMC -- Technical requirements -- What is a linear regression? …”

Tabla de Contenidos: “…. -- Chapter 5: Automating JUNOS with PyEZ -- Introduction -- Setting up a PyEZ environment -- Getting ready -- How to do it... -- How it works... -- There's more -- Exploring the XML RPC using PyEZ -- Getting ready -- How to do it... -- How it works... -- Calling operational RPCs and setting timeouts -- Getting ready -- How to do it... -- How it works... -- Configuration analysis and reporting -- Getting ready -- How to do it... -- How it works... -- Making raw CLI commands from PyEZ -- Getting ready -- How to do it... -- How it works... -- There's more -- Using tables and views -- Getting ready -- How to do it... -- How it works... -- There's more -- Using custom tables and views -- Getting ready -- How to do it... -- How it works... -- Making configuration changes with PyEZ -- Getting ready -- How to do it... -- How it works... -- There's more…”

Tabla de Contenidos: “…Chapter 10 X-Ray and Computed TomographyChapter 11 Magnetic Resonance Imaging; Chapter 12 Light Microscopes; Chapter 13 Electron Microscopes; Appendix A Installing Python Distributions; Appendix B Parallel Programming Using MPI4Py; Appendix C Introduction to ImageJ; Appendix D MATLABR and Numpy Functions; Bibliography; Back Cover…”

Tabla de Contenidos: “…Meyer. 8: Singapore: Connecting Asian Markets with Global Finance, Karen P.Y. Lai. 9: Tokyo: Still Below its Potential as a Global Financial Centre, Sayuri Shirai. 10: Conclusions: A Global Overview from a Geographical Perspective, Dariusz Wójcik and Theodor F. …”

Tabla de Contenidos: “…. -- Chapter 10: Creating Amazing 3D GUIs with PyOpenGL and PyGLet -- Introduction -- PyOpenGL transforms our GUI -- Getting ready -- How to do it... -- How it works... -- Our GUI in 3D! …”