Remove the Python parts, for now

Will expect to add them back later.

README.md

@@ -6,29 +6,37 @@
 [![](http://cranlogs.r-pkg.org/badges/miniparquet)](https://dgrtwo.shinyapps.io/cranview/)
 <!-- badges: end -->
 
-`miniparquet` is a reader for a common subset of Parquet files. miniparquet only supports rectangular-shaped data structures (no nested tables) and only the Snappy compression scheme. miniparquet has no (zero, none, 0) [external dependencies](https://research.swtch.com/deps) and is very lightweight. It compiles in seconds to a binary size of under 1 MB.
+`miniparquet` is a reader for a common subset of Parquet files.
+miniparquet only supports rectangular-shaped data structures
+(no nested tables) and only the Snappy compression scheme.
+miniparquet has no (zero, none, 0)
+[external dependencies](https://research.swtch.com/deps) and is very
+lightweight. It compiles in seconds to a binary size of under 1 MB.
 
 ## Installation
-Miniparquet comes as C++ library, a Python package and a R package. Install the R package like so:
 
-`devtools::install_github("hannesmuehleisen/miniparquet")`
-
-The C++ library can be built by typing `make`.
-
-The Python package is installed using `python setup.py install`
+Install the R package from CRAN:
 
+```r
+install.packages("miniparquet")
+```
 
 ## Usage
-Use the R package like so: `df <- miniparquet::parquet_read("example.parquet")`
-
-Folders of similar-structured Parquet files (e.g. produced by Spark) can be read like this:
-
-`df <- data.table::rbindlist(lapply(Sys.glob("some-folder/part-*.parquet"), miniparquet::parquet_read))`
 
-If you find a file that should be supported but isn't, please open an issue here with a link to the file.
+Call `parquet_read()` to read a Parquet file:
+```r
+df <- miniparquet::parquet_read("example.parquet")
+```
 
-Use the Python package like so: `miniparquet.read('example.parquet')`. You can convert the result to a Pandas dataframe like so: `pandas.DataFrame.from_dict(miniparquet.read('example.parquet'))`
+Folders of similar-structured Parquet files (e.g. produced by Spark)
+can be read like this:
 
+```r
+df <- data.table::rbindlist(lapply(
+  Sys.glob("some-folder/part-*.parquet"),
+  miniparquet::parquet_read
+))
+```
 
-## Performance
-`miniparquet` is quite fast, on my laptop (I7-4578U) it can read compressed Parquet files at over 200 MB/s using only a single thread. Previously, there was a comparision with the arrow package here, but it appeared that results were caused by a bug which is fixed.
+If you find a file that should be supported but isn't, please open an
+issue here with a link to the file.