ih2502mk

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

rlam3

sudo vim /private/var/db/launchd.db/com.apple.launchd/overrides.plist

Add the following code,as entries like:

<key>com.macpaw.CleanMyMac-setapp.HealthMonitor</key>
<dict>
<key>Disabled</key>
<true/>

LukasKalbertodt

Compiling Rust to Wasm manually with the LLVM wasm-backend (without Emscripten)

EDIT November 2017: recently the target wasm32-unknown-unknown was added to rustc which uses the LLVM WASM backend and works without Emscripten. This is now the recommended way of generating WASM code from Rust (as it is much easier). Thus, this gist document is pretty much useless now. A great resource on getting started with WASM and Rust is hellorust.com: Setup and Minimal Example.

---

mgeeky

#!/usr/bin/python

def hex_dump_memory(ptr, num):
    import ctypes
    
    s = ''
    n = 0
    lines = []
    data = list((num * ctypes.c_byte).from_address(ptr))

jFransham

Achieving warp speed with Rust

Contents:

• Number one optimization tip: don't
• Never optimize blindly
• Don't bother optimizing one-time costs
• Improve your algorithms
• CPU architecture primer
• Keep as much as possible in cache
• Keep as much as possible in registers

jakub300

# Based on:
# https://web.archive.org/web/20200212121848/http://www.zackarychapple.guru/chrome/2016/08/24/chrome-headless.html
# https://www.chromium.org/developers/how-tos/get-the-code
# https://chromium.googlesource.com/chromium/src/+/lkgr/headless/README.md

apt-get update
apt-get install -y curl git htop man unzip vim wget python
git clone https://chromium.googlesource.com/chromium/tools/depot_tools.git
export PATH=$PATH:`pwd`/depot_tools
mkdir Chromium && cd Chromium

abn

RPM Build Flow

This document details a simple RPM build flow pattern used to build and host RPM artifacts for open source projects. The below is a visual summary of this flow.

In order to achieve this multiple tools and services are used. The services and their purpose in the flow is as listed below.

Service	Purpose
GitHub	As is the most common use for GitHub, it holds the build source code. In this case we hold only the spec files and related source files. All other sources, including project binaries/sources are retrieved at build time.

uffsalot

FQDNLookup true
Interval 120

LoadPlugin syslog

<Plugin syslog>
    LogLevel info
</Plugin>

LoadPlugin disk

erikbern

import contextlib
import OpenSSL.crypto
import os
import requests
import ssl
import tempfile

@contextlib.contextmanager
def pfx_to_pem(pfx_path, pfx_password):
    ''' Decrypts the .pfx file to be used with requests. '''

simonrw

Database transactions

pymysql

• Defaults to autocommit=False

connection = pymysql.connect(user='user', db='test')
cursor = connection.cursor()
cursor.execute('insert into test (value) values (10)')