The Daily Build - Random Number Generation and Sampling Methods

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Welcome to the CodeProject Daily Build Read online version Tuesday, November 05, 2019 SQL Access to any API or Database via CData Cloud Hub Unified connectivity to the SaaS, NoSQL & Big Data sources that you need for business, from any application. Connect to more than 150 Enterprise Data Sources through standard MySQL & SQL Server (TDS) connectivity. Get a Free Trial! Is your idea the next big thing? Develop your idea with Milestone and make the world see. Whether you use video to ensure safety, protect assets, increase business efficiency or something completely different this could be your chance to break through to the global tech market. $65,000 in cash and prizes up for grabs! Submit your idea now! Headline article Random Number Generation and Sampling Methods   (61 votes) by Peter Occil (updated 9 hours ago) Discusses many ways applications can do random number generation and sampling from an underlying random number generator (RNG) and includes pseudocode for many of them. New Articles, Tech Blogs and Tips Code Generation Advent Of Code – Science for Hungry People – Puzzle 15   (0 votes) by User-14483287 (updated 20 hours ago) Science for hungry people Design and Architecture Basic Implementation of ELK on Windows With Beats and Jenkins Log Reading   (0 votes) by Karuna Kant Mishra (updated 20 hours ago) This is a simple document explaining details of how you can install and use ELK with Winlogbeat and Jenkins Logging Plugin. Game Development Small WinForm Pong Game - C#   (1 votes) by NickNs1991 (updated 13 hours ago) Simple WinForm Pong game written in C# Updated Articles, Tech Blogs and Tips Algorithms & Recipes Currying and Partial Application in C++14   (6 votes) by BlackMATov (updated 12 hours ago) One of the currying options and partial application of the functions in C++ which is my personal favourite SAP HANA and Amazon SageMaker Challenge Ideas Analyzing 200 years of climate data using SAP HANA and Amazon SageMaker   (3 votes) by Allister Beharry (updated 10 hours ago) Using data from the Global Historical Climatology Network project we can crunch, analyze, and make predictions using gigabytes of numeric climate data collected over two centuries with the SAP HANA in-memory database and Amazon SageMaker hosted Jupyter notebooks. © 2019 The Code Project.  All rights reserved. This email was sent to vutunglampro@gmail.com. To stop receiving The Daily Build click Unsubscribe. CodeProject 503-250 Ferrand Drive, Toronto Ontario, M3C 3G8 Canada +1 416-849-8900 x 100 Please do not reply directly to this email. It was sent from an unattended mailbox. For correspondence please use webmaster@codeproject.com