A personal diary of DataFrame munging over the years.
Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)
A personal diary of DataFrame munging over the years.
Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)
# --------------------------------------------------------------------------- | |
# | |
# Description: This file holds all my BASH configurations and aliases | |
# | |
# Sections: | |
# 1. Environment Configuration | |
# 2. Make Terminal Better (remapping defaults and adding functionality) | |
# 3. File and Folder Management | |
# 4. Searching | |
# 5. Process Management |
# delete local tag '12345' | |
git tag -d 12345 | |
# delete remote tag '12345' (eg, GitHub version too) | |
git push origin :refs/tags/12345 | |
# alternative approach | |
git push --delete origin tagName | |
git tag -d tagName |
import os, sys | |
markdown_name = sys.argv[1] | |
name = markdown_name.split(".")[0] | |
latex_name = name + ".tex" | |
os.system("pandoc -f markdown -t latex %s -o %s" % (markdown_name, latex_name)) | |
with open(latex_name, "r") as latex_file: | |
latex_content = latex_file.read() |
#!/bin/bash | |
# A simple script to backup an organization's GitHub repositories. | |
#------------------------------------------------------------------------------- | |
# NOTES: | |
#------------------------------------------------------------------------------- | |
# * User @jimklimov (and probably some others called out in the long comment | |
# thread below) have modified this script to make it more robust and keep | |
# up with various changes in the GitHub API and response format at: | |
# https://github.com/jimklimov/github-scripts |
At the top of the file there should be a short introduction and/ or overview that explains what the project is. This description should match descriptions added for package managers (Gemspec, package.json, etc.)
Show what the library does as concisely as possible, developers should be able to figure out how your project solves their problem by looking at the code example. Make sure the API you are showing off is obvious, and that your code is short and concise.