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  1. Game of life codeberg.org

  2. Crimson codeberg.org

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  3. brainfuck-d codeberg.org

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  4. d-colorize code.dlang.org

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  5. argparse code.dlang.org

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  6. Apache Thrift code.dlang.org

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  7. code.dlang.org code.dlang.org

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  8. blog.dlang.org blog.dlang.org

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  9. Posts github.com

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  10. Goldie bitbucket.org

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  11. Átila Neves atilaoncode.blog

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  12. minigui arsd-official.dpldocs.info

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  13. TDPL amazon.com

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  14. Tiny Redis adilbaig.github.io

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  15. MXNet github.com

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  16. NLP for github.com

  17. ggplot2 Extensions ggplot2-exts.github.io

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  18. ff ff.r-forge.r-project.org

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  19. Reference Card for ESS ess.r-project.org

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  20. Emacs + ESS ess.r-project.org

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  21. sp edzer.github.io

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  22. Exploratory Data Analysis with R bookdown.org

    This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Author: Roger D. Peng.

  23. writexl docs.ropensci.org

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  24. targets docs.ropensci.org

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  25. Deducer deducer.org

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  26. Cookbook Polars for R ddotta.github.io

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  27. JavaScript for R book.javascript-for-r.com

    The ultimate aim of this work is to demonstrate to the reader the many great benefits one can reap by inviting JavaScript into their data science workflow. Author: John Coene.

  28. officer davidgohel.github.io

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  29. flextable davidgohel.github.io

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  30. imager dahtah.github.io

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  31. Modern R with the tidyverse b-rodrigues.github.io

    The idea of Chapters 1 to 7 is to make you efficient with R as quickly as possible, especially if you already have prior programming knowledge. Starting with Chapter 8 you will learn more advanced topics, especially programming with R. Author: Bruno Rodrigues.

  32. CXXR cs.kent.ac.uk

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  33. Avery Robbins avery-robbins.com

    Avery Robbins loves to learn and to share useful or awesome things that have benefited him personally. This website is a tool for him to actively do just that: share knowledge, ideas, and tips that are helpful.

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  34. ompr cran.rstudio.com

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  35. nloptr cran.rstudio.com

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  36. data.table: A gentle introduction atrebas.github.io

    A quick introduction to data.table. The main objective is to present the data.table syntax, showing how to perform basic, but essential, data wrangling tasks. Author: Atrebas.

  37. minqa cran.rstudio.com

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  38. lpSolve cran.rstudio.com

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  39. Data.Table and Dplyr Tour atrebas.github.io

    A detailed comparison of R packages data.table and dplyr. Author: Atrebas.

  40. SnowballC cran.rstudio.com

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  41. Rglpk cran.rstudio.com

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  42. ROI cran.rstudio.com

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  43. Introduction to Probability and Statistics Using R atmos.albany.edu

    The book can be subdivided into three basic parts. The first part includes the introductions and elementary descriptive statistics; I want the students to be knee-deep in data right out of the gate. The second part is the study of probability, which begins at the basics of sets…

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