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Author: Rob Foster Publisher: Packt Publishing Ltd ISBN: 1782162313 Category : Computers Languages : en Pages : 306
Book Description
Presented in a recipe-based format, you are led step-by-step through each aspect of CodeIgniter, allowing you to dip in and out as you choose. CodeIgniter 2 Cookbook is for intermediate to advanced PHP developers who want to begin using the powerful CodeIgniter framework to create web applications. Familiarity with CodeIgniter isn’t essential, but it will be useful if you have been introduced to the framework before.
Author: Rob Foster Publisher: Packt Publishing Ltd ISBN: 1782162313 Category : Computers Languages : en Pages : 306
Book Description
Presented in a recipe-based format, you are led step-by-step through each aspect of CodeIgniter, allowing you to dip in and out as you choose. CodeIgniter 2 Cookbook is for intermediate to advanced PHP developers who want to begin using the powerful CodeIgniter framework to create web applications. Familiarity with CodeIgniter isn’t essential, but it will be useful if you have been introduced to the framework before.
Author: Rob Foster Publisher: Packt Publishing Ltd ISBN: 1783287101 Category : Computers Languages : en Pages : 330
Book Description
If you are a PHP programmer or developer looking for a framework to quickly develop your applications, this book is for you. The prerequisites needed would be prior experience with CodeIgniter.
Author: Bogumił Kamiński Publisher: Packt Publishing Ltd ISBN: 1788998820 Category : Computers Languages : en Pages : 451
Book Description
Discover the new features and widely used packages in Julia to solve complex computational problems in your statistical applications. Key FeaturesAddress the core problems of programming in Julia with the most popular packages for common tasksTackle issues while working with Databases and Parallel data processing with JuliaExplore advanced features such as metaprogramming, functional programming, and user defined typesBook Description Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia. Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia. By the end of the book, you will have acquired the skills to work more effectively with your data What you will learnBoost your code’s performance using Julia’s unique featuresOrganize data in to fundamental types of collections: arrays and dictionariesOrganize data science processes within Julia and solve related problemsScale Julia computations with cloud computingWrite data to IO streams with Julia and handle web transferDefine your own immutable and mutable typesSpeed up the development process using metaprogrammingWho this book is for This book is for developers who would like to enhance their Julia programming skills and would like to get some quick solutions to their common programming problems. Basic Julia programming knowledge is assumed.
Author: William H. Press Publisher: Cambridge University Press ISBN: 9780521574396 Category : Computers Languages : en Pages : 588
Book Description
This book gives a detailed introduction to Fortran 90 and to parallel programming, with all 350+ routines from the second edition of Numerical Recipes.
Author: E. John Boles Publisher: Page Publishing Inc ISBN: Category : Cooking Languages : en Pages : 333
Book Description
This is not a professionally written cookbook but is a representation of homegrown family cooking. Minus a few corporate-inspired recipes and one professional carrot cake recipe, my little book of kitchen recipes is a collection of hand-me-down family recipes from one generation to the next. The design of this book has been left plain because, in the author's opinion, too many illustrations cause distractions in the kitchen. It is his hope that, by providing the space to enter a recipe or alter an existing one, more people will take up cooking again and continue to pass these and other recipes on to future generation.
Author: William H. Press Publisher: Cambridge University Press ISBN: 9780521430647 Category : Computers Languages : en Pages : 1016
Book Description
As with Numerical Recipes in C, the FORTRAN edition has been greatly revised to make this edition the most up to date handbook for those working with FORTRAN. Between both editions of Numerical Recipes, over 300,000 copies have been sold.
Author: Eryk Lewinson Publisher: Packt Publishing Ltd ISBN: 1789617324 Category : Computers Languages : en Pages : 426
Book Description
Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial dataExplore unique recipes for financial data analysis and processing with PythonEstimate popular financial models such as CAPM and GARCH using a problem-solution approachBook Description Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the financial domain. You'll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you'll focus on learning how to use deep learning (PyTorch) for approaching financial tasks. By the end of this book, you’ll have learned how to effectively analyze financial data using a recipe-based approach. What you will learnDownload and preprocess financial data from different sourcesBacktest the performance of automatic trading strategies in a real-world settingEstimate financial econometrics models in Python and interpret their resultsUse Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk assessmentImprove the performance of financial models with the latest Python librariesApply machine learning and deep learning techniques to solve different financial problemsUnderstand the different approaches used to model financial time series dataWho this book is for This book is for financial analysts, data analysts, and Python developers who want to learn how to implement a broad range of tasks in the finance domain. Data scientists looking to devise intelligent financial strategies to perform efficient financial analysis will also find this book useful. Working knowledge of the Python programming language is mandatory to grasp the concepts covered in the book effectively.
Author: Sal Mangano Publisher: "O'Reilly Media, Inc." ISBN: 9780596003722 Category : Computers Languages : en Pages : 676
Book Description
Critical for converting XML documents, and extremely versatile, the XSLT language nevertheless has complexities that can be daunting. The XSLT Cookbook is a collection of hundreds of solutions to problems that Extensible Stylesheet Language Transformations (XSLT) developers regularly face. The recipes range from simple string-manipulation and mathematical processing to more complex topics like extending XSLT, testing and debugging XSLT stylesheets, and graphics creation with SVG. Recipes can be run directly or tweaked to fit your particular application's needs more precisely. Each recipe walks through a problem and a solution, with explanations of the choices made and techniques used in creating that solution, and many recipes include alternate solutions and explore issues like convenience and performance. Topics covered include: String manipulation Mathematical processing Date and time handling Interactions between calendar systems Selecting content in source documents Efficient tree-manipulation Conversions from XML to plain text Tweaking XML documents with stylesheets Using XSLT to query XML documents Generating HTML with XSLT Creating charts and graphs with SVG and XSLT Generating C and XSLT code using XSLT Processing Visio documents in XSLT Working with XML Topic Maps (XTM) Using XSLT to create SOAP documentation from WSDL Extending XSLT with additional functions Embedding XSLT in other processing Testing and debugging XSLT stylesheets Creating generic XSLT processors which work on many XML vocabularies The XSLT Cookbook provides an ideal companion both for developers still figuring out XSLT's template-based approach who want to learn by example, and for developers who know XSLT and want a collection of quickly reusable recipes. XSLT frequently offers a number of ways to perform a transformation, and the best solution may not always be the most straightforward. The recipes in this Cookbook demonstrate and explain XSLT's template-based logic, a frequent stumbling block for developers new to XSLT. Among the variety of XSLT books now available, none has the explicit solution-oriented approach of this Cookbook.
Author: Natale Vinto Publisher: "O'Reilly Media, Inc." ISBN: 1492097446 Category : Computers Languages : en Pages : 244
Book Description
Why are so many companies adopting GitOps for their DevOps and cloud native strategy? This reliable framework is quickly becoming the standard method for deploying apps to Kubernetes. With this practical, developer-oriented book, DevOps engineers, developers, IT architects, and SREs will learn the most useful recipes and examples for following GitOps practices. Through their years of experience in application modernization, CI/CD, and automation, authors Alex Soto Bueno and Natale Vinto from Red Hat walk you through all the steps necessary for successful hands-on application development and deployment with GitOps. Once you start using the recipes in this book, you'll have a head start in development cycles on Kubernetes following the GitOps approach. You'll learn how to: Develop and deploy applications on Kubernetes Understand the basics of CI/CD and automation on Kubernetes, and apply GitOps practices to implement development cycles on the platform Prepare the app for deployment on multiple environments and/or multiple Kubernetes clusters Deploy apps for either multiple environments using GitOps and Argo CD, or for Kubernetes clusters Create Kubernetes-native pipelines with Tekton Provide and extend DevOps skills for the team working on Kubernetes Use progressive delivery to put your applications into production
Author: William H. Press Publisher: Cambridge University Press ISBN: 9780521375160 Category : Computers Languages : en Pages : 792
Book Description
Numerical Recipes: The Art of Scientific Computing was first published in 1986 and became an instant classic among scientists, engineers, and social scientists. In this book the original, time-tested programs have been completely reworked into a clear, consistent Pascal style. This represents a significant improvement to the immensely successful programs contained in the first edition, which were originally written in Fortran. The authors make extensive use of pointers, dynamic memory allocation, and other features utilized by this language. The explanatory text accompanying the programs replicates the lucid, and easy-to-read prose found in the original version, and incorporates corrections, improvements, and explanations of special Pascal features. The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes in Pascal fills a long-recognized need for a practical, comprehensive handbook of scientific computing in the Pascal language. The book is designed both for the Pascal programmer who wants exposure to the techniques of scientific computing, and for the working scientist, social scientist, and engineer. The scope of the book ranges from standard areas of numerical analysis (linear algebra, differential equations, roots) through subjects useful to signal processing (Fourier methods, filtering), data analysis (least squares, robust fitting, statistical functions), simulation (random deviates and Monte Carlo), and more. The lively, informal text combined with an underlying degree of mathematical sophistication makes the book useful to a wide range of readers, beginning at the advanced undergraduate level.
Author: Rob Foster
Author: Rob Foster
Author: Rob Foster
Author: Bogumił Kamiński
Author: William H. Press
Author: E. John Boles
Author: William H. Press
Author: Eryk Lewinson
Author: Sal Mangano
Author: Natale Vinto
Author: William H. Press