harper357

# modified from https://gist.github.com/mmistakes/77c68fbb07731a456805a7b473f47841
# Description: Jekyll plugin to replace Markdown code blocks (for mermaid syntax) with <div class="mermaid"> tag for crafting mermaid charts with minimal headache
# place in /_plugins/

Jekyll::Hooks.register :posts, :pre_render do |post, payload|
  docExt = post.extname.tr('.', '')
  # only process if we deal with a markdown file
  if payload['site']['markdown_ext'].include? docExt
    newContent = post.content.gsub(/```mermaid([^`]+?)```/, '<div class="mermaid">\1</div>')
    post.content = newContent

harper357

Keybase proof

I hereby claim:

• I am harper357 on github.
• I am sciencedotninja (https://keybase.io/sciencedotninja) on keybase.
• I have a public key ASCbyVLkU7LaXkk-QW6ClMydETrHqhoNtmB022fP16UebAo

To claim this, I am signing this object:

harper357

# Description: Jekyll plugin to replace Markdown image syntax with {% picture %} tag for crafting responsive images
# place in /_plugins/

Jekyll::Hooks.register :posts, :pre_render do |post, payload|
  docExt = post.extname.tr('.', '')
  # only process if we deal with a markdown file
  if payload['site']['markdown_ext'].include? docExt
    newContent = post.content.gsub(/\!\[(.+)\]\((.+)\)/, '{% picture default \2 alt="\1" %}')
    post.content = newContent
  end

harper357

"""Sample that implements gRPC client for Google Assistant API."""
from google.assistant.embedded.v1alpha1 import embedded_assistant_pb2
from google.rpc import code_pb2

import logging
import os.path

from googlesamples.assistant import (
    assistant_helpers,
    audio_helpers,

harper357

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

harper357

This gist lets you keep IPython notebooks in git repositories. It tells git to ignore prompt numbers and program outputs when checking that a file has changed.

To use the script, follow the instructions given in the script's docstring.

For further details, read this blogpost.

The procedure outlined here is inspired by this answer on Stack Overflow.

harper357

harper357

#List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

#Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

#Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(value_list)]

harper357

"""
VCF.py
Kamil Slowikowski
October 30, 2013

Read VCF files. Works with gzip compressed files and pandas.

Note: This module ignores the genotype columns because
      I didn't need them at the time of writing.