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@MWins
MWins / project-ideas01.md
Last active May 7, 2024 12:38
Back end Projects - list

Project Ideas

Ok. I'm going to list off some ideas for projects. You will have to determine if any particular idea is good enough to include in a portfolio. These aren't creative ideas. They likely already exist. Some are way too advanced while others are simplistic.

I will recommend to post any project you make to github and make a github project page for it. Explain in as much detail as possible how you made it, how it can be improved etc. Document it.

If you pick an advanced idea, setup a development roadmap and follow it. This will show some project management skills.

Another piece of advice for those who are design challenged. Use different front end frameworks and use different themes for those frameworks to provide appealing designs without looking like yet another bootstrap site.

Advanced JavaScript Learning Resources

This is a list of advanced JavaScript learning resources from people who responded to this [Tweet][13] and this [Tweet][20].

  • [You Don't Know JS][3]

  • [Frontend Masters courses by Kyle Simpson][12]

  • [@mpjme][6]'s [YouTube videos][5]

@mdo
mdo / 00-intro.md
Last active March 24, 2024 08:04
Instructions for how to affix an Ikea Gerton table top to the Ikea Bekant sit-stand desk frame.

Ikea Bekant standing desk with Gerton table top

@adamhrv
adamhrv / heatmap.py
Last active June 17, 2021 19:31
Convert image to heatmap
#!/usr/bin/env python
import cv2
import numpy as np
import argparse
'''
Create blended heat map with JET colormap
@wojteklu
wojteklu / clean_code.md
Last active May 9, 2024 22:13
Summary of 'Clean code' by Robert C. Martin

Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.


General rules

  1. Follow standard conventions.
  2. Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
  3. Boy scout rule. Leave the campground cleaner than you found it.
  4. Always find root cause. Always look for the root cause of a problem.

Design rules

@sharmaeklavya2
sharmaeklavya2 / cp_syllabus.md
Last active March 29, 2024 12:24
Competitive Programming Syllabus

Competitive Programming Syllabus

Geometry

  • Problems - Refer the article for a list of problems which can be solved using Rotating Calipers technique.
@leonardofed
leonardofed / README.md
Last active May 9, 2024 07:51
A curated list of AWS resources to prepare for the AWS Certifications


A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.


@sid24rane
sid24rane / udp.js
Created July 25, 2016 08:39
Simple UDP Client and Server in Node.js ==> ( Echo Server )
var udp = require('dgram');
// --------------------creating a udp server --------------------
// creating a udp server
var server = udp.createSocket('udp4');
// emits when any error occurs
server.on('error',function(error){
console.log('Error: ' + error);
@vasanthk
vasanthk / System Design.md
Last active May 9, 2024 16:45
System Design Cheatsheet

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

  1. Clarify and agree on the scope of the system
  • User cases (description of sequences of events that, taken together, lead to a system doing something useful)
    • Who is going to use it?
    • How are they going to use it?
@baraldilorenzo
baraldilorenzo / readme.md
Last active November 21, 2023 22:41
VGG-16 pre-trained model for Keras

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman