Don't forget, tomorrow at 15:00 UTC will be our monthly Beginner AMA live on YouTube. Come prepared with your #JuliaLang questions. Link to join: https://t.co/lVsX4SVqTJ #OpenSource #100DaysOfCode #AnyoneCanCode #CodeNewbie #AdventOfCode

Our Julia Beginner AMA is live on YouTube right now: https://t.co/lVsX4SVqTJ #JuliaLang #OpenSource #100DaysOfCode #AnyoneCanCode #CodeNewbie

Check out the Humans of Julia community on Discord - hang out with 392 other members and enjoy free voice and text chat.

In this video, Tom will explain how he used TextAnalysis.jl to process a Twitter dataset and develop a simple Naive Bayes Classifier for sentiment analysis. Towards the end of the video, I will use the Twitter API to download some tweets and make predictions.

The exercise was done as part of a weekly contest at the Humans-of-Julia Discord server. I did everything in an interactive Pluto notebook, and the source code is available at https://github.com/Humans-of-Julia/WeeklyContest/tree/main/Week2-TextAnalysis.jl/tk3369

If you are interested in joining the Discord community, here's an invite link: https://discord.gg/mm2kYjB

Benchmarking is an essential activity in understanding the performance characteristics of an application. This video explains how to properly benchmark your code and the facilities available from the BenchmarkTools.jl package.

00:40 How to use @time macro
03:43 Introducing BenchmarkTools.jl
08:01 Running the garbage collector (GC) during benchmark
08:51 How to benchmark long-running functions
10:44 The 3-step process of running a benchmark

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