A Syllabus For Introduction to Literary Analysis

Introduction to Complex Analysis, 2 edition  

Posted by nebulae at May 26, 2014
Introduction to Complex Analysis, 2 edition

H. A. Priestley, "Introduction to Complex Analysis, 2 edition"
English | ISBN: 0198525621, 0198525613 | 2003 | 344 pages | PDF | 12 MB

Introduction to Fourier Analysis and Wavelets (repost)  

Posted by arundhati at April 10, 2014
Introduction to Fourier Analysis and Wavelets (repost)

Mark A. Pinsky, "Introduction to Fourier Analysis and Wavelets"
2001 | ISBN: 0534376606 | 400 pages | PDF | 13 MB

Introduction to Fourier Analysis and Wavelets (repost)  

Posted by arundhati at Feb. 11, 2014
Introduction to Fourier Analysis and Wavelets (repost)

Mark A. Pinsky, "Introduction to Fourier Analysis and Wavelets"
2009 | ISBN: 082184797X | 376 pages | PDF | 21,7 MB

A Concise Introduction to Numerical Analysis  eBooks & eLearning

Posted by arundhati at Dec. 8, 2016
A Concise Introduction to Numerical Analysis

A. C. Faul, "A Concise Introduction to Numerical Analysis"
2016 | ISBN-10: 1498712185 | 308 pages | EPUB | 2 MB

An Introduction to Data Analysis using Aggregation Functions in R  eBooks & eLearning

Posted by Underaglassmoon at Nov. 18, 2016
An Introduction to Data Analysis using Aggregation Functions in R

An Introduction to Data Analysis using Aggregation Functions in R
Springer | Artificial Intelligence | December 5, 2016 | ISBN-10: 3319467611 | 199 pages | pdf | 4.56 mb

Authors: James, Simon
Provides an overview of aggregation functions
Includes hands-on tutorials on how to program the functions covered in R without needing extensive programming courses
Does not assume a mathematics background

A Brief Introduction to Circuit Analysis  eBooks & eLearning

Posted by arundhati at Oct. 4, 2016
A Brief Introduction to Circuit Analysis

J. David Irwin, "A Brief Introduction to Circuit Analysis"
2003 | ISBN-10: 0471431168 | 448 pages | PDF | 38 MB

Introduction to Numerical Analysis [Repost]  eBooks & eLearning

Posted by tanas.olesya at March 6, 2016
Introduction to Numerical Analysis [Repost]

Introduction to Numerical Analysis by R.Bulirsch
English | 1996 | ISBN: 038797878X | 674 Pages | PDF | 29 MB

The book contains a large amount of information not found in standard textbooks. Written for the advanced undergraduate/beginning graduate student, it combines the modern mathematical standards of numerical analysis with an understanding of the needs of the computer scientist working on practical applications.

Introduction to Genetic Analysis, 9th Edition (Repost)  

Posted by leonardo78 at Dec. 7, 2015
Introduction to Genetic Analysis, 9th Edition (Repost)

Introduction to Genetic Analysis
Publisher: W. H. Freeman and Company; 9th edition | 2007 | ISBN: 0716768879 | 800 pages | PDF (scan) | 216 MB

The author team welcomes a new coauthor, Sean B. Carroll, a recognized leader in the field of evolutionary development, to this new edition of Introduction to Genetic Analysis (IGA). The authors’ ambitious new plans for this edition focus on showing how genetics is practiced today.

Introduction to Thermal Analysis [Repost]  

Posted by tanas.olesya at Nov. 19, 2015
Introduction to Thermal Analysis [Repost]

Introduction to Thermal Analysis: Techniques And Applications by M.E. Brown
English | 4 Oct. 2013 | ISBN: 1402004729 | 155 Pages | PDF | 28 MB

Thermal Analysis is a well-established set of techniques for obtaining qualitative and quantitative information about the effects of various heat treatments on materials of all kinds, including new chemical compounds, plastics, ceramics, alloys, construction materials, minerals, foods and medicines.

Lynda - Introduction to Data Analysis with Python  

Posted by U.N.Owen at Nov. 12, 2015
Lynda - Introduction to Data Analysis with Python

Lynda - Introduction to Data Analysis with Python
Size: 566MB | Duration: 2h 16m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

If you're going to work with big data, you'll probably be using R or Python. And if you're using Python, you'll be definitely using Pandas and NumPy, the third-party packages designed specifically for data analysis. This course provides an opportunity to learn about them.