8000 reading · Issue #4 · UBC-DSCI/introduction-to-datascience-python · GitHub
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reading #4
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@nd265

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@nd265

Progress:

Basic code has been converted from R to python. The conversion of text specific to R still needs to be converted to python. All the data files required for reading purpose have been pushed to the data folder. Have kept some R code still in the notebook and will take action on it after confirmation. The changes can be found on the reading branch of this repository in file reading.md

Issues and doubts regarding the Reading chapter:

  • reading.py not getting updated after building the reading.md file with jb build reading.md.
  • What is the meaning of \index{loading|see{reading}}\index{reading!definition}, I think this is something specific to R markdown?
  • Should the documentation only specific to R be deleted?
  • What to do regarding the absolute path, when reading happiness_report.csv
  • Should the column names be included while reading from data/can_lang-meta-data.csv
  • No need for read_delim dection, as it is already covered in the previous section using sep=\t, or should I just replace the documentation with - 'Any delimiter can be used with sep='''
  • 3 ways of assigning column names- while reading(using names=), using rename, and using df.columns. which one to be used here? In the python tutorial, I saw names being used, but in R, rename is being used, so confused, which one to use
  • Installation of openpyxl, pgdb
  • What to do about lazy evaluation and collect, as python can read from Postres simply. should these be deleted from the documentation?
  • As the server fakeserver.stat.ubc.ca is an alias, the code in the python code-cell would error out, so should the code be in commented form?
  • To find the min of average_rating, can it be done in just one code cell? Unlike done in R?
  • What to do about additional resources section and exercises?
  • Confirm: I am reading images using the Myst syntax :
{figure} ./path/to/figure.jpg
:name: label
caption

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