Programming Newsletter – April 2019

React Component Concepts

In this module we will discuss:
• JSX Nesting
• Event Handling
• State
• Props
• Immutability
• App Development Workflow

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Webinar
Routing and Navigation with React-Router

Courses
WA2583 React Training: React JavaScript Programming
Upcoming classes: May 13-14
Web Age Solutions React class introduces the React JavaScript framework, sometimes referred to as ReactJS or React.JS. React is a popular component-based JavaScript framework used for easy creation of powerful, interactive UIs. This React class will provide an introduction to the benefits of the React JavaScript framework, so course participants can start to develop applications quickly using the framework.

 

AWS Databases

AWS Database Services
• Relational Database Service (RDS)
• Supporting OLAP & OLTP use cases
• NoSQL
• Data Warehouse
• OLAP

The CAP Theorem
• The CAP theorem was formulated by Eric Brewer
http://www2.webagesolutions.com/e/7422/r-cs262b-2004-PODC-keynote-pdf/7hqkxy/831497212?h=ZF4j1Zr3ff1qi78AGXs0DsE0EoqRZN9BJnRvtAfpI7U
• It states that any distributed computer system can have at most two of three desirable properties:
C – consistency is equivalent to having a single up-to-date copy of the data; all client always have the same view of the data
A – high availability of the data; all clients can always read and write
P – tolerance to network partitions (in distributed system deployments)

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Webinar
Developing in AWS

Courses
WA2734 AWS for Developers
Upcoming classes: April 29 – May 1
The students of this training will learn the modalities for developing on the Amazon Web Services cloud platform. This intensive 3-day course covers the most important areas of AWS that will help the students become aware of the existing cloud-grade capabilities that could be immediately translated into tangible value for their companies. This training course is supplemented by a variety of hands-on labs that will help the attendees reinforce their theoretical knowledge of the learned material.

 

Python for Data Science

This chapter provides a quick overview of:
• Python modules and high-power features
• NumPy library
• pandas library
• SciPy library
• scikit-learn library
• Jupyter notebooks
• Anaconda distribution

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Webinar
Data Science using Python

Courses
WA2715 Applied Data Science with Python
Upcoming classes: May 6-7
This intensive training course provides theoretical and practical aspects of using Python in the realm of Data Science, Business Analytics, and Data Logistics. The coverage of the related core concepts, terminology, and theory is provided as well. This training course is supplemented by a variety of hands-on labs (the list of which is provided at the bottom of this outline) that help attendees reinforce their theoretical knowledge of the learned material.