Tabla de Contenidos: “…Simplified syntax rulesThe Python ecosystem; The idea of extensibility via add-ons; Using the Python Package Index - PyPI; Using pip to gather modules; Using easy_install to add modules; Installing modules manually; Looking at other Python interpreters; Summary; Chapter 2: Simple Data Types; Introducing the built-in operators; Making comparisons; Using integers; Using the bit-oriented operators; Using rational numbers; Using decimal numbers; Using floating-point numbers; Using complex numbers; The numeric tower; The math libraries; Using bits and Boolean values; Working with sequences…”

Tabla de Contenidos: “…Merging a Whole Branch to AnotherUndoing Changes; Resurrecting Deleted Items; Switching a Working Copy; Tags; Creating a Simple Tag; Creating a Complex Tag; Branch Maintenance; Repository Layout; Data Lifetimes; Summary; Repository Administration; Repository Basics; Understanding Transactions and Revisions; Unversioned Properties; Berkeley DB; Repository Creation and Configuration; Hook Scripts; Berkeley DB Configuration; Repository Maintenance; An Administrator's Toolkit; svnlook; svnadmin; svndumpfilter; svnshell.py; Berkeley DB utilities; Repository Cleanup; Managing Disk Space…”

Tabla de Contenidos: “…The threshold autoregressive modelSmooth transition models; An introduction to root-finding; Incremental search; The bisection method; Newton's method; The secant method; Combining root-finding methods; SciPy implementations; Root-finding scalar functions; General nonlinear solvers; Summary; Chapter 4: Numerical Procedures; Introduction to options; Binomial trees in options pricing; Pricing European options; Are these formulas relevant to stocks? …”

Tabla de Contenidos: “…Node Parallelism for Graph Centrality Metrics 3 Optimizing parallel prefix operations for the Fermi architecture 4 Building an Efficient Hash Table on the GPU 5 An Efficient CUDA Algorithm for the Maximum Network Flow Problem 6 On Improved Memory Access Patterns for Cellular Automata Using CUDA 7 Fast Minimum Spanning Tree Computation on Large Graphs 8 Fast in-place sorting with CUDA based on bitonic sort Part 2: Numerical Algorithms - Frank Jargstorff, NVIDIA 9 Interval Arithmetic in CUDA 10 Approximating the erfinv Function 11 A Hybrid Method for Solving Tridiagonal Systems on the GPU 12 LU Decomposition in CULA 13 GPU Accelerated Derivative-free Optimization Part 3: Engineering Simulation - Peng Wang, NVIDIA 14 Large-scale gas turbine simulations on GPU clusters 15 GPU acceleration of rarefied gas dynamic simulations 16 Assembly of Finite Element Methods on Graphics Processors 17 CUDA implementation of Vertex-Centered, Finite Volume CFD methods on Unstructured Grids with Flow Control Applications 18 Solving Wave Equations on Unstructured Geometries 19 Fast electromagnetic integral equation solvers on graphics processing units (GPUs) Part 4: Interactive Physics for Games and Engineering Simulation - Richard Tonge, NVIDIA 20 Solving Large Multi-Body Dynamics Problems on the GPU 21 Implicit FEM Solver in CUDA 22 Real-time Adaptive GPU multi-agent path planning Part 5: Computational Finance - Thomas Bradley, NVIDIA 23 High performance finite difference PDE solvers on GPUs for financial option pricing 24 Identifying and Mitigating Credit Risk using Large-scale Economic Capital Simulations 25 Financial Market Value-at-Risk Estimation using the Monte Carlo Method Part 6: Programming Tools and Techniques - Cliff Wooley, NVIDIA 26 Thrust: A Productivity-Oriented Library for CUDA 27 GPU Scripting and Code Generation with PyCUDA 28 Jacket: GPU Powered MATLAB Acceleration 29 Accelerating Development and Execution Speed with Just In Time GPU Code Generation 30 GPU Application Development, Debugging, and Performance Tuning with GPU Ocelot 31 Abstraction for AoS and SoA Layout in C++ 32 Processing Device Arrays with C++ Metaprogramming 33 GPU Metaprogramming: A Case Study in Biologically-Inspired Machine Vision 34 A Hybridization Methodology for High-Performance Linear Algebra Software for GPUs 35 Dynamic Load Balancing using Work-Stealing 36 Applying software-managed caching and CPU/GPU task scheduling for accelerating dynamic workloads…”

Tabla de Contenidos: “…Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started; The cloud computing stack - SaaS, PaaS, and IaaS; Google Cloud Platform; Hosting + Compute; Storage; BigQuery; Services; What Google App Engine does; The runtime environment; The services; Making our first Python application; Download and installation; Installing on Windows; Installing on Mac OS X; Installing on Linux; App Engine Launcher; Creating the application; The app.yaml configuration file; The main.py application script…”

Tabla de Contenidos: “…GCP artificial intelligence services -- Google Vertex AI -- Google Cloud ML APIs -- Summary -- Further reading -- Chapter 2: Mastering Python Programming -- Technical requirements -- The basics of Python -- Basic Python variables and operations -- Basic Python data structure -- Python conditions and loops -- Python functions -- Opening and closing files in Python -- An interesting problem -- Python data libraries and packages -- NumPy -- Pandas -- Matplotlib -- Seaborn -- Summary -- Further reading -- Part 2: Introducing Machine Learning -- Chapter 3: Preparing for ML Development…”

Tabla de Contenidos: “…Different Types of Calculations -- Order of Processing Steps -- Quick Table Calculations -- Setting Up a Quick Table Calculation -- Duplicate as Crosstab -- Editing Table Calculations -- Customized Table Calculations -- Bump Charts -- Dual Axis Charts -- Adjustable Moving Average -- Level of Detail Expressions -- Keywords and Syntax -- Cohort Analysis -- Regional Averages -- Higher-Level Regions -- Chapter 6 Maps -- Symbol Maps -- Filled Maps -- Density Maps -- Map Layers -- Maps with Pie Charts -- Creating a Pie Chart Map -- Adding a Filter -- Dual Axis Map -- Viz in Tooltip -- Step 1: Create the Second Chart -- Step 2: Embedding the Chart in Tooltips -- Reflection: The Anatomy of a Tableau Map -- Alternative Map Services -- Mapbox Maps -- Mapbox Account and Token -- Mapbox in Tableau -- Using the Background Map -- Spatial Data -- Undersea Communication Cables -- Open Data -- Chapter 7 Advanced Analytics: Trends, Forecasts, Clusters, and other Statistical Tools -- Overview of the Tableau Analytics Pane -- Constant, Average, and Reference Lines -- Trend Lines -- Adding Trend Lines -- Trend Line Options -- Line and Trend Model Description -- Forecasts -- Adding a Forecast Line to the View -- Forecast Settings -- Model Description -- Cluster Analysis -- Clustering in Tableau -- Saving and Working with Clustering Results -- Python, R, and MATLAB Integration -- Getting Started with Python and TabPy -- Connecting Tableau with TabPy -- Python Scripts in Calculated Fields -- Trellis Chart with Python Script -- R Integration -- Security -- Example: Local Regression with R -- MATLAB Integration -- Chapter 8 Interactive Dashboards -- Preliminary Considerations -- Creating a New Dashboard -- The Dashboard Pane -- Placing Charts on the Dashboard -- Dashboard Titles -- Navigation Buttons -- Dashboard Actions -- Filter Actions…”

Tabla de Contenidos: “…. -- Building a gesture-based interface with PyAutoGUI -- Getting ready -- How to do it... -- Chapter 7: Running a Tiny CIFAR-10 Model on a Virtual Platform with the Zephyr OS -- Technical requirements -- Getting started with the Zephyr OS -- Getting ready -- How to do it... -- Designing and training a tiny CIFAR-10 model -- Getting ready -- How to do it... -- Evaluating the accuracy of the TFLite model -- Getting ready -- How to do it... -- Converting a NumPy image to a C-byte array -- Getting ready -- How to do it... -- Preparing the skeleton of the TFLu project -- Getting ready -- How to do it... -- Building and running the TFLu application on QEMU -- Getting ready -- How to do it... -- Chapter 8: Toward the Next TinyML Generation with microNPU -- Technical requirements -- Setting up Arm Corstone-300 FVP -- Getting ready -- How to do it... -- Installing TVM with Arm Ethos-U support -- Getting ready -- How to do it... -- Installing the Arm toolchain and Ethos-U driver stack -- Getting ready -- How to do it...…”

Tabla de Contenidos: “…Intro -- 1 Einleitung -- 1.1 Aufbau der Kapitel -- 1.2 Grundgerüst des PyCharm-Projekts -- 1.3 Grundgerüst für die Unit Tests mit PyTest -- 1.4 Anmerkung zum Programmierstil -- 1.5 Anmerkung zu den Aufgaben -- 1.6 Ausprobieren der Beispiele und Lösungen -- I Grundlagen -- 2 Mathematische Aufgaben -- 2.1 Einführung -- 2.1.1 Römische Zahlen -- 2.1.2 Zahlenspielereien -- 2.2 Aufgaben -- 2.2.1 Aufgabe 1: Grundrechenarten (.....) -- 2.2.2 Aufgabe 2: Zahl als Text (.....) -- 2.2.3 Aufgabe 3: Vollkommene Zahlen (.....) -- 2.2.4 Aufgabe 4: Primzahlen (.....) -- 2.2.5 Aufgabe 5: Primzahlpaare (.....) -- 2.2.6 Aufgabe 6: Prüfsumme (.....) -- 2.2.7 Aufgabe 7: Römische Zahlen (.....) -- 2.2.8 Aufgabe 8: Kombinatorik (.....) -- 2.2.9 Aufgabe 9: Armstrong-Zahlen (.....) -- 2.2.10 Aufgabe 10: Max Change Calculator (.....) -- 2.2.11 Aufgabe 11: Befreundete Zahlen (.....) -- 2.2.12 Aufgabe 12: Primfaktorzerlegung (.....) -- 2.3 Lösungen -- 2.3.1 Lösung 1: Grundrechenarten (.....) -- 2.3.2 Lösung 2: Zahl als Text (.....) -- 2.3.3 Lösung 3: Vollkommene Zahlen (.....) -- 2.3.4 Lösung 4: Primzahlen (.....) -- 2.3.5 Lösung 5: Primzahlpaare (.....) -- 2.3.6 Lösung 6: Prüfsumme (.....) -- 2.3.7 Lösung 7: Römische Zahlen (.....) -- 2.3.8 Lösung 8: Kombinatorik (.....) -- 2.3.9 Lösung 9: Armstrong-Zahlen (.....) -- 2.3.10 Lösung 10: Max Change Calculator (.....) -- 2.3.11 Lösung 11: Befreundete Zahlen (.....) -- 2.3.12 Lösung 12: Primfaktorzerlegung (.....) -- 3 Rekursion -- 3.1 Einführung -- 3.1.1 Mathematische Beispiele -- 3.1.2 Algorithmische Beispiele -- 3.1.3 Typische Probleme: Endlose Aufrufe und RecursionError -- 3.2 Aufgaben -- 3.2.1 Aufgabe 1: Fibonacci (.....) -- 3.2.2 Aufgabe 2: Ziffern verarbeiten (.....) -- 3.2.3 Aufgabe 3: ggT / GCD (.....) -- 3.2.4 Aufgabe 4: Reverse String (.....) -- 3.2.5 Aufgabe 5: Array Sum (.....) -- 3.2.6 Aufgabe 6: Array Min (.....)…”

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