rondy

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.

---

Effective Engineer - Notes

• By Edmond Lau
• Highly Recommended 👍
• http://www.theeffectiveengineer.com/

What's an Effective Engineer?

robwhess

#!/user/bin/env python

#
# This is a simple python script to clone all of the repositories for an
# assignment managed via GitHub Classroom.  It has a dependency on the
# requests module, so to use it, you must:
#
#   pip install requests
#
# You can run the script with the '-h' option to get info on its usage.

hernamesbarbara

Principles of Adult Behavior

1. Be patient. No matter what.
2. Don’t badmouth: Assign responsibility, not blame. Say nothing of another you wouldn’t say to him.
3. Never assume the motives of others are, to them, less noble than yours are to you.
4. Expand your sense of the possible.
5. Don’t trouble yourself with matters you truly cannot change.
6. Expect no more of anyone than you can deliver yourself.
7. Tolerate ambiguity.
8. Laugh at yourself frequently.

CMCDragonkai

Understanding the Memory Layout of Linux Executables

Required tools for playing around with memory:

• hexdump
• objdump
• readelf
• xxd
• gcore

tanyuan

Smart Caps Lock: Remap to Control AND Escape (Linux, Mac, Windows)

把 Caps Lock 變成智慧的 Control 以及 Escape ：

• 單獨輕按一下就是 Escape 。
• 若按下時同時按著其他鍵，就會是 Control 。

這應該是 Vim 和 Emacs 的最佳解了！(Emacs? Bash 的快捷鍵就是 Emacs 系列的)

• Send Escape if you tap Caps Lock alone.

joyrexus

An introduction to curl using GitHub's API.

Basics

Makes a basic GET request to the specifed URI

curl https://api.github.com/users/caspyin

Includes HTTP-Header information in the output

craffel

import matplotlib.pyplot as plt

def draw_neural_net(ax, left, right, bottom, top, layer_sizes):
    '''
    Draw a neural network cartoon using matplotilb.
    
    :usage:
        >>> fig = plt.figure(figsize=(12, 12))
        >>> draw_neural_net(fig.gca(), .1, .9, .1, .9, [4, 7, 2])
    

maze.pde

// Code by @MetaGlitch
int size = 601;
int fps = 20;
int numFrames = 40;
int samplesPerFrame = 24;
float exposure = 0.7; // exposure time in frames. >1 allowed for blending multiple frames
float subFrameAttenuation = 1; // 1 for weighting every subframe the same. <1 for attenuation effect.
boolean looping = true; // false: t=1 on the last frame; true: t=1-1/nummFrames on last frame.

boolean recording = true;

collab.pde

// Code by @MetaGlitch
 
float fps = 16.666;
 
int inFrames = 15;
int outFrames = 15;
int otherFrames = 60;
int numFrames = inFrames + otherFrames + outFrames;
 
float t1 = inFrames * 1.0/numFrames;

gist:10675250

// by dave @ beesandbombs.tumblr.com >:)

void setup() {
  setup_();
  result = new int[width*height][3];
  result_ = new int[width*height][3];
}

int[][] result, result_;
float time;