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Fixing Random: Techniques in C#

Name: Fixing Random: Techniques in C#
Price: 59 USD
Author: Eric Lippert

Gain insights into tackling uncertainty in C# programming. Delve into improving System.Random class with powerful techniques for efficient problem-solving and fewer bugs. Discover new language uses.

44 lessons

20h

Created by Eric Lippert

What's included

44 lessons across 6 modules
AI Tutor on every lesson

Join 3.1 million developers at

What You'll Learn

Identify key flaws in System.Random (seeding, thread safety, exclusive ranges) that cause buggy outcomes
Implement thread-safe and cryptographically secure random integers and doubles in C#
Design continuous distributions using an IDistribution interface and visualize samples with histograms
Build discrete distributions (uniform, weighted, Bernoulli, singleton) over values and C# objects
Implement efficient weighted sampling via CDF+binary search, rejection sampling, and the alias method
Apply Bayesian inference with priors and likelihoods to compute marginal and posterior probabilities in C#
Estimate expected values using importance sampling and helper distributions for continuous weighted functions

Learning Roadmap

44 Lessons

Introduction to System.Random in C#

Get familiar with System.Random's limitations and its impact on C# programming.

Who is This Course For?

Disadvantages of System.Random in C#

Introduction to Fixing Random

Look at improvements to C#’s randomness, probability distributions, and sampling techniques.

Fix the Trivial Problems

Introduction to Continuous Probability Distributions

Introduction to Discrete Distributions

Fixing Random - Discrete Distribution

22 Lessons

Master the steps to implement and optimize discrete distributions in C#, including Bernoulli and alias methods.

Fixing Random - Continuous Distribution

13 Lessons

Apply your skills to sampling and estimating expected values in continuous distributions.

Conclusion

2 Lessons

Explore probabilistic programming, improved tools, and efficient techniques for estimating values.

Appendix

2 Lessons

See how it works to define and generate non-uniform random data in C#.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

About this course

WHY I WROTE THIS COURSE

There are a lot of problems we face in programming that deal with uncertainty, statistics, and probabilities. Unfortunately, the majority of the general-purpose languages that we use on a daily basis don’t provide a great approach to solving them. This is particularly the case in C# with the System.Random class. The implementations of this class have been pretty poor for some time. System.Random in C# regularly leads to unexpected, buggy outcomes. If you’re a C# fan who’s looking for new ways to use the language, then this course is for you. It proposes different approaches to improving the System.Random class, providing a number of powerful techniques that solve problems more efficiently and with fewer lines of code.

ABOUT THE AUTHOR

Eric Lippert

Eric Lippert is a programming language designer, blogger, author and editor of programming books. See his fabulous adventures at ericlippert.com

Learn more about Eric

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