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#!/usr/bin/env bash

# https://stackoverflow.com/questions/4254389/git-corrupt-loose-object
# https://git.kernel.org/pub/scm/git/git.git/tree/Documentation/howto/recover-corrupted-blob-object.txt?id=HEAD
# https://stackoverflow.com/questions/39409252/how-to-fix-git-error-head-invalid-reflog-entry-xxxxxxxxxxxxxxxx

find .git/objects/ -size 0 -exec rm -f {} \;
git reflog expire --stale-fix --all
git gc --aggressive --prune=now
git fsck --full

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#!/usr/bin/env bash

# Copyright 2020 Darren Weber
# 
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License is
# located at
# 
#      http://aws.amazon.com/apache2.0/
# 

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# see https://stackoverflow.com/questions/47177538/installing-miniconda-on-alpine-linux-fails
# adapted from https://github.com/Docker-Hub-frolvlad/docker-alpine-miniconda3
# depends on ./alpine/glibc* already downloaded in the git repo

# https://github.com/docker-library/docker/blob/master/19.03/Dockerfile
# based on alpine:3.11
image: docker:19.03.6
# image: python:3.6-stretch

variables:

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tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

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# Since dict.merge() returns None on success, the
# statement can be followed with an 'or' expression
# to return the updated dict and assign it, return
# or yield the merged dict.

x = {1:'a'}
y = {2:'b'}
x.update(y) or x
# {1: 'a', 2: 'b'}

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From https://stackoverflow.com/questions/12569452/how-to-identify-numpy-types-in-python

Note that the type(numpy.ndarray) is a type itself and watch out for boolean and scalar types. Don't be too discouraged if it's not intuitive or easy, it's a pain at first.

See also:

• https://docs.scipy.org/doc/numpy-1.15.1/reference/arrays.dtypes.html
• https://github.com/machinalis/mypy-data/tree/master/numpy-mypy

>>> import numpy as np

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Conferences

2014

MongoDB Days 2014

• San Francisco
• Dec 2014

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# Thanks to:
# https://gist.github.com/bastman/5b57ddb3c11942094f8d0a97d461b430


# Volumes
# https://github.com/chadoe/docker-cleanup-volumes
#docker volume rm $(docker volume ls -qf dangling=true)
#docker volume ls -qf dangling=true | xargs -r docker volume rm

#docker volume rm $(docker volume ls -q -f 'dangling=true')

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# load and parse a requirements.txt file

def parse_requirement(requirement, excludes):
    lib = requirement.strip().split('#')[0]  # strip new lines and comments
    if lib:
        lib_name = re.split(r'[[<>=! ]+', lib)[0]
        if lib_name in excludes:
            return ''
        return lib.strip()
    return ''

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## Parse and print ISO 8601 with some help from dateutil [1] and pandas [2]
## [1] https://dateutil.readthedocs.io/en/stable/_modules/dateutil/parser/isoparser.html
## [2] https://pandas.pydata.org/pandas-docs/stable/generated/pandas.to_datetime.html

import dateutil
import pandas as pd

any_date = '20180716'
dt = dateutil.parser(any_date)
# dt -> datetime.datetime(2018, 7, 16, 0, 0)