bump version

Project.toml

@@ -1,7 +1,7 @@
 name = "TidierFiles"
 uuid = "8ae5e7a9-bdd3-4c93-9cc3-9df4d5d947db"
 authors = ["Daniel Rizk <[email protected]> and contributors"]
-version = "0.1.0"
+version = "0.1.1"
 
 [deps]
 Arrow = "69666777-d1a9-59fb-9406-91d4454c9d45"

docs/examples/UserGuide/Arrow.jl

@@ -1,19 +1,19 @@
 # Arrow file reading and writing is powered by Arrow.jl
 # ## `read_arrow`
-# read_arrow(path; skip=0, n_max=Inf, col_select=nothing)
+# `read_arrow(path; skip=0, n_max=Inf, col_select=nothing)`
 
-# This function reads a Parquet (.parquet) file into a DataFrame. The arguments are:
+# This function reads an Arrow (.arrow) file into a DataFrame. The arguments are:
 
-# - `path`: The path to the .parquet file.
+# - `path`: The path to the .arrow file.
 # - `skip`: Number of initial rows to skip before reading data. Default is 0.
 # - `n_max`: Maximum number of rows to read. Default is `Inf` (read all rows).
 # - `col_select`: Optional vector of symbols or strings to select which columns to load. Default is `nothing` (load all columns).
 
 # ## `write_arrow` 
 # `write_arrow(df, path)`
 
-# This function writes a DataFrame to a Parquet (.parquet) file. The arguments are:
+# This function writes a DataFrame to an Arrow (.arrow) file. The arguments are:
 
 # - `df`: The DataFrame to be written to a file.
-# - `path`: The path where the .parquet file will be created. If a file at this path already exists, it will be overwritten.
+# - `path`: The path where the .arrow file will be created. If a file at this path already exists, it will be overwritten.
 # - Additional arguments for writing arrow files are not outlined here, but should be available through the same interface of `Arrow.write`. Refer to Arrow.jl [documentation](https://arrow.apache.org/julia/stable/manual/#Arrow.write) at their page for further explanation.

docs/examples/UserGuide/parquet.jl

@@ -1,6 +1,6 @@
 # Parquet file reading and writing is powered by Parquet2.jl
 # ## `read_parquet`
-# read_parquet(path; col_names=true, skip=0, n_max=Inf, col_select=nothing)
+# `read_parquet(path; col_names=true, skip=0, n_max=Inf, col_select=nothing)`
 
 # This function reads a Parquet (.parquet) file into a DataFrame. The arguments are: