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@wojteklu
wojteklu / clean_code.md
Last active October 10, 2024 00:24
Summary of 'Clean code' by Robert C. Martin

Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.


General rules

  1. Follow standard conventions.
  2. Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
  3. Boy scout rule. Leave the campground cleaner than you found it.
  4. Always find root cause. Always look for the root cause of a problem.

Design rules

@cloneofsimo
cloneofsimo / radical_image_descriptions.json
Last active September 8, 2024 16:45
Set of wildly complex image descriptions & atomic factual statements.
[
{
"description": "a flamboyant octopus dressed in a tuxedo is hosting an undersea tea party on a coral reef, complete with tiny teacups and saucers made from seashells. Each of the octopus's eight arms is elegantly balancing a different teapot, pouring colorful and sparkly liquid into the cups. Surrounding the octopus are a variety of sea creatures dressed in formal wear: a well-dressed clownfish is toasting with a miniature glass, a sea turtle wears a monocle and is engaged in deep conversation with a stylishly-attired seahorse, and a group of jellyfish float nearby, their translucent bodies glowing softly in the ambient light. Coral formations around them resemble extravagant table decorations, draped in strands of pearls and glittering seaweed, while a vibrant school of fish swims by, seemingly mesmerized by the spectacle. The scene is filled with a sense of whimsy and elegance, illuminated by streams of sunlight filtering down from above, creating a magical underwater atmosphere.",
"
@bearfrieze
bearfrieze / comprehensions.md
Last active December 23, 2023 22:49
Comprehensions in Python the Jedi way

Comprehensions in Python the Jedi way

by Bjørn Friese

Beautiful is better than ugly. Explicit is better than implicit.

-- The Zen of Python

I frequently deal with collections of things in the programs I write. Collections of droids, jedis, planets, lightsabers, starfighters, etc. When programming in Python, these collections of things are usually represented as lists, sets and dictionaries. Oftentimes, what I want to do with collections is to transform them in various ways. Comprehensions is a powerful syntax for doing just that. I use them extensively, and it's one of the things that keep me coming back to Python. Let me show you a few examples of the incredible usefulness of comprehensions.

@eddies
eddies / setup-notes.md
Created July 29, 2016 08:00
Spark 2.0.0 and Hadoop 2.7 with s3a setup

Standalone Spark 2.0.0 with s3

###Tested with:

  • Spark 2.0.0 pre-built for Hadoop 2.7
  • Mac OS X 10.11
  • Python 3.5.2

Goal

Use s3 within pyspark with minimal hassle.

@ohaz
ohaz / main.py
Created March 8, 2016 09:07
Parse math formulas in python and put parentheses around Mult/Div
from __future__ import print_function
import ast
def recurse(node):
if isinstance(node, ast.BinOp):
if isinstance(node.op, ast.Mult) or isinstance(node.op, ast.Div):
print('(', end='')
recurse(node.left)
recurse(node.op)
@mangecoeur
mangecoeur / a-conda-workon-tool.md
Last active February 9, 2021 14:53
A "virtualenv activate" for Anaconda environments

A "virtualenv activate" for Anaconda environments

I've been using the Anaconda python package from continuum.io recently and found it to be a good way to get all the complex compiled libs you need for a scientific python environment. Even better, their conda tool lets you create environments much like virtualenv, but without having to re-compile stuff like numpy, which gets old very very quickly with virtualenv and can be a nightmare to get correctly set up on OSX.

The only thing missing was an easy way to switch environments - their docs suggest running python executables from the install folder, which I find a bit of a pain. Coincidentally I came across this article - Virtualenv's bin/activate is Doing It Wrong - which desribes a simple way to launch a sub-shell with certain environment variables set. Now simple was the key word for me since my bash-fu isn't very strong, but I managed to come up with the script below. Put this in a text file called conda-work

@sQu1rr
sQu1rr / kernel-update.sh
Created September 16, 2017 08:32
gentoo kenel update script
#!/bin/bash
src='/usr/src'
# Get current version
cur_ver="linux-`uname -r`"
# Get new version
ver=`ls $src | grep linux- | sort -V | tail -1`
@porterjamesj
porterjamesj / hello_mesos.py
Last active March 6, 2018 20:43
the tiniest mesos scheduler
import logging
import uuid
import time
from mesos.interface import Scheduler
from mesos.native import MesosSchedulerDriver
from mesos.interface import mesos_pb2
logging.basicConfig(level=logging.INFO)
@ankurcha
ankurcha / error1.sh
Last active July 1, 2016 12:36
mesos on hadoop
STARTUP_MSG: java = 1.8.0_25
************************************************************/
14/10/28 06:27:07 INFO mapred.JobTracker: registered UNIX signal handlers for [TERM, HUP, INT]
14/10/28 06:27:08 FATAL mapred.JobTracker: java.lang.IllegalArgumentException: Does not contain a valid host:port authority: local
at org.apache.hadoop.net.NetUtils.createSocketAddr(NetUtils.java:211)
at org.apache.hadoop.net.NetUtils.createSocketAddr(NetUtils.java:163)
at org.apache.hadoop.net.NetUtils.createSocketAddr(NetUtils.java:152)
at org.apache.hadoop.mapred.JobTracker.getAddress(JobTracker.java:2165)
at org.apache.hadoop.mapred.JobTracker.<init>(JobTracker.java:1764)
at org.apache.hadoop.mapred.JobTracker.<init>(JobTracker.java:1757)