ivanopagano

Using with Sublime

I successfully enabled the metals lsp server to work with sublime text 3

I didn't actually need to write any lsp client, since I'm using the standard LSP Package

Setup

My working setup is specific:

• macOS HIgh Sierra
• Sublime 3 on Dev channel build 3160

goerz

This gist contains out.tex, a tex file that adds a PDF outline ("bookmarks") to the freely available pdf file of the book

The Elements of Statistical Learning (2nd ed), by Trevor Hastie, Robert Tibshirani, and Jerome Friedman

https://web.stanford.edu/~hastie/ElemStatLearn/

The bookmarks allow to navigate the contents of the book while reading it on a screen.

Usage

obenshaindw

#GATK Method <- Slower and keeps original ID plut dbSNP rsID
# R=Reference FASTA
# V=VCF file to add IDs to
# --dbsnp = dbsnp VCF -- download from NCBI FTP

java -jar GenomeAnalysisTK.jar -R /reference/Homo_sapiens_assembly19.fasta -T VariantAnnotator -V vcf_to_add_id_to.vcf --dbsnp /reference/dbsnp_137.b37.vcf.gz --out /data/Broad.chr1.annotated.vcf

#bcftools Method <- Faster, replaces existing ID with dbSNP rsID
/usr/bin/htslib/bcftools/bcftools annotate -a /reference/dbsnp_137.b37.vcf.gz -c ID vcf_to_add_id_to.vcf

karpathy

"""
A bare bones examples of optimizing a black-box function (f) using
Natural Evolution Strategies (NES), where the parameter distribution is a 
gaussian of fixed standard deviation.
"""

import numpy as np
np.random.seed(0)

# the function we want to optimize

mixxorz

"""
MIT License

Copyright (c) 2018 Mitchel Cabuloy

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is

max-mapper

hfreire

# Install QEMU OSX port with ARM support
sudo port install qemu +target_arm
export QEMU=$(which qemu-system-arm)

# Dowload kernel and export location
curl -OL \
https://github.com/dhruvvyas90/qemu-rpi-kernel/blob/master/kernel-qemu-4.1.7-jessie
export RPI_KERNEL=./kernel-qemu-4.1.7-jessie

# Download filesystem and export location

simme

# First install tmux
brew install tmux

# For mouse support (for switching panes and windows)
# Only needed if you are using Terminal.app (iTerm has mouse support)
Install http://www.culater.net/software/SIMBL/SIMBL.php
Then install https://bitheap.org/mouseterm/

# More on mouse support http://floriancrouzat.net/2010/07/run-tmux-with-mouse-support-in-mac-os-x-terminal-app/

yang-wei

When receiving JSON data from other resources(server API etc), we need Json.Decode to convert the JSON values into Elm values. This gist let you quickly learn how to do that.

I like to follow working example code so this is how the boilerplate will look like:

import Graphics.Element exposing (Element, show)
import Task exposing (Task, andThen)
import Json.Decode exposing (Decoder, int, string, object3, (:=))

import Http

khardix

#!/usr/bin/env python3.6

import asyncio
from contextlib import closing

import aiohttp
import tqdm


async def download(session, url, progress_queue):