codersquid

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import argparse

if __name__ == '__main__':

    parser = argparse.ArgumentParser(description="""
        I never freaking remember argparse syntax and the docs are so all over the place
        that I need this for an example.

fperez

Polyglot Data Science with IPython & friends

Author: Fernando Pérez.

A demonstration of how to use Python, Julia, Fortran and R cooperatively to analyze data, in the same process.

This is supported by the IPython kernel and a few extensions that take advantage of IPython's magic system to provide low-level integration between Python and other languages.

See the companion notebook for data preparation and setup.

mitsuhiko

from sre_parse import Pattern, SubPattern, parse as sre_parse
from sre_compile import compile as sre_compile
from sre_constants import BRANCH, SUBPATTERN


class Scanner(object):

    def __init__(self, tokens, flags=0):
        subpatterns = []
        pat = Pattern()

MattDMo

# from https://gist.github.com/MattDMo/6cb1dfbe8a124e1ca5af

import os
import json
import socket
import threading

activate_this = os.environ.get("SUBLIMEREPL_ACTIVATE_THIS", None)

# turn off pager

manuhabitela

KC60 Keyboard end-user tips, tricks, programming notes, etc.

Leimi's note: removed lots of stuff from the original gist of scottjl, (thanks to him by the way!), as in the end some wasn't useful for me. If you are intestered, go check the gist revisions.

The KC60 is kinda like a premade GH60 that was first sold on Massdrop during summer 2015.
It runs on TMK firmware, or something based on it at least (not sure this is the real source for the keyboard but it seems it is), which means it's heavily programmable.
There is a GUI tool (the source of this tool seems to be here) and a command-line tool to ease up the process of programming the board.
**Go check this great article on Key

whizzzkid

# Instructions for 4.14 and cuda 9.1
# If upgrading from 4.13 and cuda 9.0
$ sudo apt-get purge --auto-remove libcud*
$ sudo apt-get purge --auto-remove cuda*
$ sudo apt-get purge --auto-remove nvidia*
# also remove the container directory direcotory at /usr/local/cuda-9.0/

# Important libs required with 4.14.x with Cuda 9.X
$ sudo apt install libelf1 libelf-dev

jazzycamel

from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
from itertools import count, islice

class Threaded(QObject):
    result=pyqtSignal(int)

    def __init__(self, parent=None, **kwargs):
        super().__init__(parent, **kwargs)

martijnvermaat

Viewing IPython notebooks in GitLab

GitLab is open source software to collaborate on code (a GitHub clone to run on your own server). Clicking a blob (a file in a repository) in GitLab shows a nice rendering if GitLab supports the file type (e.g., images, Markdown documents), or its content as plain text otherwise. The patch described here adds support to GitLab for rendering IPython notebooks (.ipynb files).

Zearin

NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.

---

Q: How can I make a chain of function decorators in Python?

---

If you are not into long explanations, see [Paolo Bergantino’s answer][2].

meirbon

# 1. First of all of course get Manjaro:
https://manjaro.org/get-manjaro/

# I recommend using Etcher to copy the image to your USB:
https://etcher.io/

# 2. Before installing make sure:
# - Secure boot is disabled in BIOS
# - Your SSD, HDD or NVME drive is set to AHCI instead of RAID
# - Fastboot should be on Auto or minimal, but this shouldn't matter to much