2020-06-21 Sunday - Manning Publications - 2020 Books of Interest

There are many excellent new titles (and some updated 2nd editions) - coming later this year, that may be of interest  (and benefit) to you (or, members of your organization) - from Manning Publications Co. , and I look forward to hopefully having a chance to review many of them.

Check them out here (in publication date order):  
https://www.manning.com/catalog/sort/sort-by-date

For example:

• GraphQL in Action
• Kubernetes in Action, Second Edition
• Blockchain in Action
• Machine Learning with TensorFlow, Second Edition
• Microservices Security in Action
• API Security in Action
• Graph Databases in Action
• Grokking Deep Reinforcement Learning
• Rust in Action
• Serverless Architectures on AWS, Second Edition
• Bootstrapping Microservices with Docker, Kubernetes, and Terraform  
• Kafka in Action
• Math for Programmers
• Modern Fortran
• Terraform in Action 
• React Hooks in Action
• Deep Learning with Python, Second Edition
• Grokking Machine Learning
• Microservices in .NET Core, Second Edition
• Quantum Computing for Developers
• Core Kubernetes
• Exploring Data with R
• Functional Programming in Kotlin
• Getting Started with Natural Language Processing
• GitOps and Kubernetes
• Istio in Action
• R in Action, Third Edition
• PySpark in Action
• Spring Security in Action
• Getting Started with Kubernetes
• Spring in Action, Sixth Edition  

2020-06-20 Saturday - Development Tooling Updates

Photo by Alex Kondratiev on Unsplash

I've spent some time this evening updating a few of my development tools:

 go (1.14.4)

• https://golang.org/dl/
• https://golang.org/doc/devel/release.html#go1.14
• https://golang.org/doc/go1.14 

R (4.0.1)

• http://lib.stat.cmu.edu/R/CRAN/
• http://lib.stat.cmu.edu/R/CRAN/bin/windows/ 
• http://lib.stat.cmu.edu/R/CRAN/bin/windows/base/
• http://lib.stat.cmu.edu/R/CRAN/bin/windows/base/NEWS.R-4.0.1.html  
• http://lib.stat.cmu.edu/R/CRAN/manuals.html

Node.js (14.4.0)

• https://nodejs.org/en/
• https://github.com/nodejs/node/blob/master/doc/changelogs/CHANGELOG_V14.md#14.4.0

Java, OpenJDK (14.0.1)

• https://jdk.java.net/14/ 

Python (3.8.3)

• https://www.python.org/downloads/release/python-383/
• https://docs.python.org/3.8/whatsnew/3.8.html 

Visual Studio Code (1.46.1)

• https://code.visualstudio.com/updates/v1_46

Visual Studio 2019 (16.6.2)

• https://docs.microsoft.com/en-us/visualstudio/releases/2019/release-notes
• https://docs.microsoft.com/en-us/visualstudio/releases/2019/release-notes#16.6.2

Eclipse (2020-06, 4.16)

• https://www.eclipse.org/eclipseide/2020-06/

Sparx Enterprise Architect (15.1, Build 1529)

• https://sparxsystems.com/products/ea/15.1/index.html

LibreOffice (6.4.4)

• https://www.libreoffice.org/download/download/?lang=en-US&version=6.4.4
• https://wiki.documentfoundation.org/ReleaseNotes/6.4

Windows 10, Version 2004

• https://docs.microsoft.com/en-us/windows/whats-new/whats-new-windows-10-version-2004
• Note:
• https://www.zdnet.com/article/windows-10-chrome-and-edge-slash-ram-use-thanks-to-this-microsoft-backend-change/  
• "Early internal testing results of devices on the May 2020 Update are showing a memory-use reduction of up to 27% when browsing with Microsoft Edge," 
• "The new Microsoft Edge shares the same underlying technology as Google Chrome courtesy of Google's open-source Chromium project, which Microsoft now contributes to."
• "the improvements to memory use coming to Edge and Chrome derive from Microsoft expanding the availability of Windows segment heap memory to Win32 applications...a result of Microsoft's Project Reunion effort, announced at Build 2020, which aims to close the gap between the classic Win32 app and modern Universal Windows Platform (UWP)."

2018-10-04 Thursday - Computation Modeling, Two Suggested Books

Based on the reviews, table of contents, etc. - I've ordered the two following books:


Computational Modeling of Cognition and Behavior
by Simon Farrell (Author), Stephan Lewandowsky
https://www.amazon.com/Computational-Modeling-Cognition-Behavior-Farrell/dp/110710999X/

"Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow the theoretical developments in their field. This book presents an integrated framework for the development and application of models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models. Both the development of models and key features of any model are covered, as are the applications of models in a variety of domains across the behavioural sciences. A number of chapters are devoted to fitting models using maximum likelihood and Bayesian estimation, including fitting hierarchical and mixture models. Model comparison is described as a core philosophy of scientific inference, and the use of models to understand theories and advance scientific discourse is explained."

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan 2nd Edition
https://www.amazon.com/Doing-Bayesian-Data-Analysis-Tutorial/dp/0124058884/

"Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets."

2016-05-02 Monday - Time Series Analysis and Its Applications

During my current exercise to master the R programming language (MITx: 15.071x The Analytics Edge) - I happened to come across the web site for an interesting book today...
http://www.stat.pitt.edu/stoffer/tsa3/

Time Series Analysis and Its Applications: With R Examples, Third Edition
by Robert H. Shumway
and David S. Stoffer, Professor in the Department of Statistics at the University of Pittsburgh

The R package for the text is called asta (Applied Statistical Time Series Analysis)

You may be interested in the change log notes (latest version appears to be 1.3, Nov 2014)
http://www.stat.pitt.edu/stoffer/tsa3/xChanges.htm

They have also made available a free 200 page EZ Edition of the material
http://www.stat.pitt.edu/stoffer/tsa3/tsa3EZ.pdf

David S. Stoffer also collaborated with Randal Douc and Eric Moulines to write: Nonlinear Time Series: Theory, Methods, and Applications with R Examples
also available on Amazon