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@davej
davej / delete_all_tweets.py
Last active March 27, 2024 03:12
This script will delete all of the tweets in a specified account.
# -*- coding: utf-8 -*-
"""
This script will delete all of the tweets in the specified account.
You may need to hit the "more" button on the bottom of your twitter profile
page every now and then as the script runs, this is due to a bug in twitter.
You will need to get a consumer key and consumer secret token to use this
script, you can do so by registering a twitter application at https://dev.twitter.com/apps
@requirements: Python 2.5+, Tweepy (http://pypi.python.org/pypi/tweepy/1.7.1)
@MohamedAlaa
MohamedAlaa / tmux-cheatsheet.markdown
Last active May 3, 2024 19:09
tmux shortcuts & cheatsheet

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname
@jkreps
jkreps / benchmark-commands.txt
Last active January 21, 2024 11:02
Kafka Benchmark Commands
Producer
Setup
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test-rep-one --partitions 6 --replication-factor 1
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test --partitions 6 --replication-factor 3
Single thread, no replication
bin/kafka-run-class.sh org.apache.kafka.clients.tools.ProducerPerformance test7 50000000 100 -1 acks=1 bootstrap.servers=esv4-hcl198.grid.linkedin.com:9092 buffer.memory=67108864 batch.size=8196
@karpathy
karpathy / min-char-rnn.py
Last active May 6, 2024 08:47
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)
@bishboria
bishboria / springer-free-maths-books.md
Last active April 25, 2024 06:27
Springer made a bunch of books available for free, these were the direct links
@subfuzion
subfuzion / curl.md
Last active May 6, 2024 09:53
curl POST examples

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

@cvan
cvan / HOWTO.md
Last active March 20, 2024 17:56
How to serve a custom HTTPS domain on GitHub Pages with CloudFlare: *FREE*, secure and performant by default

Instructions

CloudFlare is an awesome reverse cache proxy and CDN that provides DNS, free HTTPS (TLS) support, best-in-class performance settings (gzip, SDCH, HTTP/2, sane Cache-Control and E-Tag headers, etc.), minification, etc.

  1. Make sure you have registered a domain name.
  2. Sign up for CloudFlare and create an account for your domain.
  3. In your domain registrar's admin panel, point the nameservers to CloudFlare's (refer to this awesome list of links for instructions for various registrars).
  4. From the CloudFlare settings for that domain, enable HTTPS/SSL and set up a Page Rule to force HTTPS redirects. (If you want to get fancy, you can also enable automatic minification for text-based assets [HTML/CSS/JS/SVG/etc.], which is a pretty cool feature if you don't want already have a build step for minification.)
  5. If you
@chrisbodhi
chrisbodhi / deep_work.md
Last active December 22, 2022 17:57
A summary of the tips & tricks in Cal Newport's "Deep Work"

Deep Work

Rules for Focused Success in a Distracted World

Cal Newport, 2016 [purchase it at half-price books]

Part I: The Idea

  • Deep Work is valuable
  • Deep Work is rare
  • Deep Work is meaningful
@smitshilu
smitshilu / Tensorflow_Build_GPU.md
Last active June 9, 2020 18:27
Tensorflow 1.4 Mac OS High Sierra 10.13 GPU Support

Tensorflow

System information

  • OS - High Sierra 10.13
  • Tensorflow - 1.4
  • Xcode command line tools - 8.2 (Download from here: Xcode - Support - Apple Developer & Switch to different clang version: sudo xcode-select --switch/Library/Developer/CommandLineTools & check version: clang -v)
  • Cmake - 3.7
  • Bazel - 0.7.0

Quick Tips for Fast Code on the JVM

I was talking to a coworker recently about general techniques that almost always form the core of any effort to write very fast, down-to-the-metal hot path code on the JVM, and they pointed out that there really isn't a particularly good place to go for this information. It occurred to me that, really, I had more or less picked up all of it by word of mouth and experience, and there just aren't any good reference sources on the topic. So… here's my word of mouth.

This is by no means a comprehensive gist. It's also important to understand that the techniques that I outline in here are not 100% absolute either. Performance on the JVM is an incredibly complicated subject, and while there are rules that almost always hold true, the "almost" remains very salient. Also, for many or even most applications, there will be other techniques that I'm not mentioning which will have a greater impact. JMH, Java Flight Recorder, and a good profiler are your very best friend! Mea