Dylan  Iqbal

Dylan Iqbal

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Accelerating MATLAB Performance (PDF Book for FREE Download)

Download this PDF Book: Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs 1st Edition by Yair M. Altman

The MATLAB® programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. 

Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB.

Ideal for novices and professionals alike, the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup.

The book covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes the application in MATLAB of standard tuning techniques used in the software industry, as well as methods that are specific to MATLAB such as using different data types or built-in functions. 

The book discusses MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLAB's memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance.

Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily.

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Accelerating MATLAB Performance (PDF Book for FREE Download)
Cayla  Erdman

Cayla Erdman

1594369800

Introduction to Structured Query Language SQL pdf

SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.

Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:

1. The SQL order standard is genuinely intricate, and it isn’t handy to actualize the whole standard.

2. Every database seller needs an approach to separate its item from others.

Right now, contrasts are noted where fitting.

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Dylan  Iqbal

Dylan Iqbal

1649491541

Accelerating MATLAB Performance (PDF Book for FREE Download)

Download this PDF Book: Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs 1st Edition by Yair M. Altman

The MATLAB® programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. 

Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB.

Ideal for novices and professionals alike, the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup.

The book covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes the application in MATLAB of standard tuning techniques used in the software industry, as well as methods that are specific to MATLAB such as using different data types or built-in functions. 

The book discusses MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLAB's memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance.

Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily.

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Dylan  Iqbal

Dylan Iqbal

1649644342

Solving Applied Mathematical Problems with MATLAB (PDF Book for FREE Download)

Download this PDF book: Solving Applied Mathematical Problems with MATLAB 1st Edition by Dingyu Xue, YangQuan Chen

This textbook presents a variety of applied mathematics topics in science and engineering with an emphasis on problem solving techniques using MATLAB®. The authors provide a general overview of the MATLAB language and its graphics abilities before delving into problem solving, making the book useful for readers without prior MATLAB experience. They explain how to generate code suitable for various applications so that readers can apply the techniques to problems not covered in the book. Examples, figures, and MATLAB scripts enable readers with basic mathematics knowledge to solve various applied math problems in their fields while avoiding unnecessary technical details.

About the book:

  • Publisher ‏ : ‎ Chapman and Hall/CRC; 1st edition (November 3, 2020)
  • Publication date ‏ : ‎ November 3, 2020
  • Language ‏ : ‎ English
  • Pages ‏ : ‎ 446 
  • File : ‎ PDF, 2MB

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Dylan  Iqbal

Dylan Iqbal

1649649156

Excel Basics: Foundations • Formulas • Graphs Free PDF (PDF Book for FREE Download)

Download this PDF book: Excel Basics: Foundations • Formulas • Graphs Free PDF

Created as a book for a first-time or beginning Excel user, it is designed to be a comprehensive, yet accessible and easy to understand introduction to using and mastering Microsoft Excel 2019 and previous versions. Starting with the basics of what spreadsheets are, and progressing through the foundational concepts and features of Excel, the book provides a thorough, yet user-friendly introduction to the main capabilities of Excel. The book covers the most fundamental and important aspects of Excel, which form the basis for a solid foundation in the use of this critical software application. Suitable for professional reference, self-study, or for use in an instructor-led or online course, this book will help readers to become effective and knowledgeable in using one of the most useful tools for enhancing one’s business and personal productivity.

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  • Starts with the elements, layout, and structure of Excel, followed by formulas, functions, applications, and formatting in depth
  • Provides both presentations, such as charts/graphs, PivotTables and also spreadsheet features including sorting, filtering, subtotals, and database functions
  • Features Application Notes,Common Excel Errors, and Chapter Appendices to reinforce readers’ grasp of Excel nuances and concepts
  • Includes instructor resources with four tutorial videos, PowerPoint slides for each chapter, sample syllabi, tests, and quizzes.

Excel Basics: Foundations • Formulas • Graphs Free PDF by Gary Bronson PhD, Jeffrey Hsu PhD

  • Length: 325 pages
  • Edition: 1
  • Language: English
  • Publisher: Mercury Learning and Information
  • Publication Date: 2021-10-30

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Dylan  Iqbal

Dylan Iqbal

1649751615

Power BI MVP Book (PDF Book for FREE Download)

Download This PDF Book: Power BI MVP Book: A book of tricks and techniques for working with Power BI, for free

This Power BI MVP book is not like a normal book used to learn Power BI. This book is a selection of articles from 21 Power BI MVPs.  Each chapter focuses on a particular subject.  

Topics covered include: AI, architecture, data modeling, data preparation, DAX, enterprise issues and Integration. 
 
The book is organized such that, as a reader, you may pick and choose any chapter in any order.

This book is written by 21 Power BI MVPs from all around the world.

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