andreyvit

tmux cheat sheet

(C-x means ctrl+x, M-x means alt+x)

Prefix key

The default prefix is C-b. If you (or your muscle memory) prefer C-a, you need to add this to ~/.tmux.conf:

remap prefix to Control + a

abhinav-upadhyay

#!/usr/bin/env python

# An example of decoding/encoding datetime values in JSON data in Python.
# Code adapted from: http://broadcast.oreilly.com/2009/05/pymotw-json.html

# Copyright (c) 2023, Abhinav Upadhyay
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:

dan-blanchard

For ETS's SKLL project, we found out the hard way that Travis-CI's support for numpy and scipy is pretty abysmal. There are pre-installed versions of numpy for some versions of Python, but those are seriously out of date, and scipy is not there are at all. The two most popular approaches for working around this are to (1) build everything from scratch, or (2) use apt-get to install more recent (but still out of date) versions of numpy and scipy. Both of these approaches lead to longer build times, and with the second approach, you still don't have the most recent versions of anything. To circumvent these issues, we've switched to using Miniconda (Anaconda's lightweight cousin) to install everything.

A template for installing a simple Python package that relies on numpy and scipy using Miniconda is provided below. Since it's a common s

mrnohr

#!/bin/bash
# --- Version history ---
#   mrn: sleep for $freq instead of 3 seconds (forked)
#   0.4: added variable to store file path, and $2 for base file name
#        added variable to store desired reporting interval
#   0.3: added $1 to send in process ID at run time.
#   0.2: switched to $SECONDS for the loop. works.
#   0.1: didn't work well at all.
# --- Version history ---

kyouko-taiga

# This snippet was written by Dimitri Racordon (kyouko.taiga@gmail.com)
#
# Copyright (c) 2015 Dimitri Racordon
# Licensed under the The MIT License (MIT).

class lazy(object):

    # This class is heavily inspired by the werkzeug.utils.cached_property
    # decorator. It transforms a class method to a lazy property, evaluated
    # the first time the property is accessed.

Jaza

*

parmentf

Inspired by dannyfritz/commit-message-emoji

See also gitmoji.

Commit type	Emoji
Initial commit	🎉 :tada:
Version tag	🔖 :bookmark:
New feature	✨ :sparkles:
Bugfix	🐛 :bug:

shaypal5

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

def print_confusion_matrix(confusion_matrix, class_names, figsize = (10,7), fontsize=14):
    """Prints a confusion matrix, as returned by sklearn.metrics.confusion_matrix, as a heatmap.
    
    Note that due to returning the created figure object, when this funciton is called in a
    notebook the figure willl be printed twice. To prevent this, either append ; to your
    function call, or modify the function by commenting out the return expression.

shaypal5

"""Finds communities in the given graph using clique percolation."""


def _add_edge_to_adjancy_list(adjancy_list, node1, node2):
    if node1 in adjancy_list:
        adjancy_list[node1].add(node2)
    else:
        adjancy_list[node1] = set([node2])

shaypal5

Taken from a post by Stuart Colville at https://muffinresearch.co.uk/selectively-including-parts-readme-rst-in-your-docs/. Here only to make this star-able by myself.

In your README.rst add a marker marking from which point you want to start importing content:

Blah blah project  
=================

Here's all the actual readme content.