ssrihari

An opinionated list of excellent Clojure learning materials

These resources (articles, books, and videos) are useful when you're starting to learn the language, or when you're learning a specific part of the language. This an opinionated list, no doubt. I've compiled this list from writing and teaching Clojure over the last 10 years.

• 🔴 Mandatory (for both beginners and intermediates)
• 🟩 For beginners
• 🟨 For intermediates

Table of contents

1. Getting into the language

vindarel

Developer experience, libraries, performance… (2021/11)

I'll preface this with three things. 1. I prefer schemes over Common Lisps, and I prefer Racket of the Schemes. 2. There is more to it than the points I raise here. 3. I assume you have no previous experience with Lisp, and don't have a preference for Schemes over Common Lisp. With all that out of the way... I would say Common Lisp/SBCL. Let me explain

1. SBCL Is by far the most common of the CL implementations in 2021. It will be the easiest to find help for, easiest to find videos about, and many major open source CL projects are written using SBCL
2. Download a binary directly from the website http://www.sbcl.org/platform-table.html (even for M1 macs) to get up and running (easy to get started)
3. Great video for setting up Emacs + Slime + Quick Lisp https://www.youtube.com/watch?v=VnWVu8VVDbI

Now as to why Common Lisp over Scheme

hiepph

def display(img):
    "Display single image"
    _, ax = plt.subplots(1, 1, figsize=(10, 10))
    #plt.axis('off')
    #plt.title('Title')
    plt.imshow(img); plt.show()

    
def display_grid(imgs):
    "Display grid"

hiepph

#!/usr/bin/env bash

# gdrive_download
#
# script to download Google Drive files from command line
# not guaranteed to work indefinitely
# taken from Stack Overflow answer:
# http://stackoverflow.com/a/38937732/7002068

gURL=$1

SubCoder1

#include <bits/stdc++.h>
 using namespace std;

struct node {
    int data{};
    node* left = nullptr;
    node* right = nullptr;
    node* parent = nullptr;
    string color;
};

matthewpalmer

# Example YAML configuration for the sidecar pattern.

# It defines a main application container which writes
# the current date to a log file every five seconds.

# The sidecar container is nginx serving that log file.
# (In practice, your sidecar is likely to be a log collection
# container that uploads to external storage.)

# To run:

d3rezz

# Finetune a tensorflow slim model (Resnet v1 50) on the flowers dataset in TFRecord format
# TFRecord files created using the script from https://github.com/kwotsin/create_tfrecords
# Trainining done in a Keras like way, where training and validation accuracy are computed every epoch
# Download resnet checkpoint from: http://download.tensorflow.org/models/resnet_v1_50_2016_08_28.tar.gz

import tensorflow as tf
import numpy as np
import os
import glob
from tqdm import tqdm

korakot

files.download('example.txt')  # from colab to browser download

jdhao

from PIL import Image, ImageOps
import cv2

desired_size = 368
im_pth = "/home/jdhao/test.jpg"

# im = Image.open(im_pth)
# old_size = im.size  # old_size[0] is in (width, height) format

# ratio = float(desired_size)/max(old_size)

Chlumsky

#include <math_constants>

image Input = file("maze.png");

glsl vec4 initialState(vec2 pos) {
    vec4 input = texture(Input, pos);
    vec4 color = vec4(0.0, 0.0, 0.0, 1.0);
    // Detect starting point
    if (input.g > 0.5 && input.r + input.b < 1.0)