BertrandBordage

"""
Automatically replies to mails both unread and unanswered.

WARNING: This answers to any both unread and unanswered mail, even if it is years old.
         Don’t use on a mailbox with old messages left unread and unanswered.

Simply subclass ``AutoReplyer``, define the undefined class attribute,
and call the ``run`` method on an instance. This loops until you stop the script
(using Ctrl+C, typically) or until an error occurs, like a network failure.

jdossgollin

/* 
Fit a GEV distribution in stan
Code is largely based on previous code by
Cameron Bracken: http://bechtel.colorado.edu/~bracken/tutorials/stan/
and Yenan Wu: http://discourse.mc-stan.org/t/troubles-in-rejecting-initial-value/1827
*/
functions{
  real gev_lpdf(vector y, real mu, real sigma, real xi) {
    vector[rows(y)] z;
    vector[rows(y)] lp;

PaulC91

library(rvest)
library(tidyverse)
library(tidygraph)
library(ggraph)

wc_squads <- html("https://en.wikipedia.org/wiki/2018_FIFA_World_Cup_squads")

tables <- wc_squads %>% 
  html_table()

ahartikainen

nadya-p

from tika import parser
import os


def extract_text_from_pdfs_recursively(dir):
    for root, dirs, files in os.walk(dir):
        for file in files:
            path_to_pdf = os.path.join(root, file)
            [stem, ext] = os.path.splitext(path_to_pdf)
            if ext == '.pdf':

rabernat

tommylees112

"""
Mask xarray dataset using a shapefile [closed]
https://stackoverflow.com/a/64587946/9940782
"""
from typing import Tuple
import geopandas as gpd
import xarray as xr
import rasterio as rio
from pathlib import Path
import numpy as np

tommylees112

conda create -n w2w python=3.8 --yes 
conda activate w2w
conda install -c conda-forge pytorch xarray=0.16 pytorch torchvision cudatoolkit --yes
conda install dask --yes
conda install -c conda-forge rasterio scikit-image --yes
conda install -c conda-forge seaborn=0.11 --yes
conda install -c anaconda networkx --yes
conda install -c conda-forge zarr gcsfs netcdf4 numba tqdm jupyterlab tensorboard ipython pip ruamel.yaml descartes statsmodels scikit-learn black mypy --yes
conda install -c conda-forge geopandas --yes
conda install -c conda-forge cdsapi --yes