Rich Hickey on becoming a better developer

Rich Hickey • 3 years ago

Sorry, I have to disagree with the entire premise here.

A wide variety of experiences might lead to well-roundedness, but not to greatness, nor even goodness. By constantly switching from one thing to another you are always reaching above your comfort zone, yes, but doing so by resetting your skill and knowledge level to zero.

Mastery comes from a combination of at least several of the following:

sailfish009 / c2nasm.bash

Created March 21, 2019 05:47 — forked from abcdabcd987/c2nasm.bash

C to NASM Assembly

	#!/bin/bash
	# thanks to http://stackoverflow.com/a/20743090
	# thanks to https://github.com/diogovk/c2nasm
	# install objconv: https://github.com/vertis/objconv
	#
	# $1: source code

	set -e
	C_FILE="$1"
	BASE_NAME="${C_FILE%.*}"

sailfish009 / ctz_clz.cpp

Created April 20, 2019 08:22 — forked from pps83/ctz_clz.cpp

__builtin_ctz (ctzl, ctzll) and __builtin_clz (clzl, clzll) for Visual Studio

	#ifdef _MSC_VER
	#include <intrin.h>

	static inline int __builtin_ctz(uint32_t x) {
	unsigned long ret;
	_BitScanForward(&ret, x);
	return (int)ret;
	}

	static inline int __builtin_ctzll(unsigned long long x) {

sailfish009 / binary_gcd.cpp

Created April 21, 2019 05:44 — forked from cslarsen/binary_gcd.cpp

Binary gcd algorithm in C++ using iteration and bit shifts

	/*
	* The binary gcd algorithm using iteration.
	* Should be fairly fast.
	*
	* Put in the public domain by the author:
	*
	* Christian Stigen Larsen
	* http://csl.sublevel3.org
	*/
	int binary_gcd(int u, int v)

sailfish009 / realsense_cloud_voxel_filtering.cpp

Created June 24, 2019 06:19 — forked from safijari/realsense_cloud_voxel_filtering.cpp

The code I used to further denoise the R200 point cloud derived from the filtered cloud(see here https://gist.github.com/safijari/fca7fa75649dbaba4b0be54f5dd742ec). Note that this will need at least PCL 1.7.2 (for Ubuntu, it's in the official PPA)

	/*
	Purpose of node: subscribe to a point cloud, use a VoxelGrid filter on it with a setting that
	clobbers voxels with fewer than a threshold of points.
	*/

	#include <ros/ros.h>
	#include <pcl_ros/point_cloud.h>
	#include <pcl/point_types.h>
	#include <iostream>
	#include <pcl/filters/voxel_grid.h>

sailfish009 / ProcessAsyncHelper.cs

Created August 26, 2019 01:25 — forked from AlexMAS/ProcessAsyncHelper.cs

The right way to run external process in .NET (async version)

	using System;
	using System.Diagnostics;
	using System.Text;
	using System.Threading.Tasks;

	public static class ProcessAsyncHelper
	{
	public static async Task<ProcessResult> ExecuteShellCommand(string command, string arguments, int timeout)
	{
	var result = new ProcessResult();

sailfish009 / install-cuda-10-bionic.sh

Last active January 20, 2020 01:30 — forked from bogdan-kulynych/install-cuda-10-bionic.sh

Install CUDA 10 on Ubuntu 18.04

	#!/bin/bash

	# Purge existign CUDA first
	sudo apt --purge remove "cublas" "cuda"
	sudo apt --purge remove "nvidia*"

	# Install CUDA Toolkit 10
	wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
	sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub && sudo apt update
	sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

sailfish009 / pytorch-simple-rnn.py

Created October 5, 2019 04:03 — forked from spro/pytorch-simple-rnn.py

PyTorch RNN training example

	import torch
	import torch.nn as nn
	from torch.nn import functional as F
	from torch.autograd import Variable
	from torch import optim
	import numpy as np
	import math, random

	# Generating a noisy multi-sin wave

sailfish009 / gist:9dd33e210e3b4278acc410dbab1c4b41

Created January 7, 2020 06:40 — forked from nalingarg2/gist:eb852f77193325202fa4

kafka with Spark Streaming

	#
	# Hadoop:: KafkaSpark
	# Recipe:: Kafka and Spark
	#
	# Copyright (C) 2015 Cloudwick labs
	# Contact :: [email protected]
	# All rights reserved - Do Not Redistribute
	#

	#One machine is required as below mentioned steps are for POC purpose only.

sailfish009 / spawn.cpp

Created March 26, 2020 04:04 — forked from konstantint/spawn.cpp

Example of communication with a subprocess via stdin/stdout

	//
	// Example of communication with a subprocess via stdin/stdout
	// Author: Konstantin Tretyakov
	// License: MIT
	//

	#include <ext/stdio_filebuf.h> // NB: Specific to libstdc++
	#include <sys/wait.h>
	#include <unistd.h>
	#include <iostream>