Programming Languages
22,646 items in 77 lists
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Lua lua.org
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Lua Workshop lua.org
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lua-users tutorial lua-users.org
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Lua-users style guide lua-users.org
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lua-users wiki lua-users.org
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lua-users.org lua-users.org
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sitegen leafo.net
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LuaSQL keplerproject.github.io
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LuaFileSystem keplerproject.github.io
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luacov keplerproject.github.io
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Roberto's Talks inf.puc-rio.br
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LPeg inf.puc-rio.br
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OpenResty GitHub Organization github.com
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Lua Users Foundation github.com
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Kepler Project github.com
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lua-MessagePack github.com
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ProFi gist.github.com
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MOAI getmoai.com
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Textadept foicica.com
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Lua Quick Reference foicica.com
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Fengari fengari.io
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Lua Programming en.wikibooks.org
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eLua eluaproject.net
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Lua Development Tools eclipse.org
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Drystal drystal.github.io
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dkjson dkolf.de
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Coronium develephant.github.io
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Embedding Lua in C debian-administration.org
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Lua Crash Course coppeliarobotics.com
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Lua for IDEA bitbucket.org
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AwesomeWM awesomewm.org
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BabeLua archive.codeplex.com
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lunix 25thandclement.com
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cqueues 25thandclement.com
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Plot Spatial Data / Shapefiles in R youtube.com
From the "math et al" YouTube channel.
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Help me help you: creating reproducible examples youtube.com
Making a great reprex is both an art and a science and this webinar will cover both aspects. A reprex makes a conversation about code more efficient and pleasant for all. This comes up whenever you ask someone for help, report a bug in software, or propose a new feature. The…
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Ben Stenhaug youtube.com
Topics include saving and reading data, map functions in purrr, t-tests, item response theory, and the basics of R and the tidyverse.
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Cédric Scherer youtube.com
A collection of talks and seminars about R-related topics such as ggplot2 or Shiny, and data visualization in general.
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StatQuest with Josh Starmer youtube.com
The Statistics and Machine Learning in R playlist deals with principal component analysis, random forest, regression, ROC and AUC, and ridge, lasso and elastic-net.
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RichardOnData youtube.com
The R playlist includes videos on manipulating data with dplyr, visualizing data with ggplot2 and ggThemeAssist, data types and structures, important base r functions, handling datetimes with lubridate, conquering factors with forcats, manipulating text with stringr.
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Simplilearn youtube.com
The R Programming for Beginners playlist includes videos on data science, charting, data visualization, algorithms, business analytics, regression, random forest, SVM, clustering, time series, modeling, and analytical techniques.
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IDG TECHtalk youtube.com
Do More with R playlist includes tutorials on shiny, data.table, getting API data, using Git and Github with R, writing your own packages, run Python in R code, RStudio addins and keyboard shortcuts, dashboards and flexdashboards.
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David Jablonski youtube.com
The UC Berkeley R Bootcamp playlists include videos on R basics, handling data, performing calculations, programming, graphics, workflows, and statistics.
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Statistics Globe youtube.com
A collection of short but detailed tutorials on how to work through common problems you will face while using R. Topics include data formatting, reordering data, strings, and ggplot2.
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Andrew Couch youtube.com
Topics include modeling, creating functions, dashboards, and forecasting.
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Data Analysis and Visualization Using R youtube.com
Topics for the online course Data Analysis and Visualization Using R.
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David Robinson youtube.com
Topics include graphing for EDA, data manipulation, animated mapping, visualization, text mining, time series, forecasting, regression, bootstrapping, package development, network graphs, ANOVA, JSON, simulation, survival analysis, and tidymetrics. Click here for detailed…
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Data Science with Tom youtube.com
Topics include time series, analyzing word relationships with ggraph and tidytext, and tidymodels.
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Julia Silge youtube.com
Topics include predictive text modeling, impute missing data, tidymodels, sentiment analysis, multinomial classification, principal component analysis, data preprocessing and resampling, and multinomial classification.
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TidyX youtube.com
TidyX is a screen cast where the hosts select code from the TidyTuesday project and go through their code line-by-line, explaining what they did and how the functions they used work. They also break down the visualizations they create and talk about how to apply similar…
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