andreagrandi

#!/bin/bash
# This script is necessary to remove the annotations block from each Markdown file.
# These annotations are being written by iA Writer and are not necessary for the website.

# Define the directory to start searching from. Adjust this to your specific folder.
START_DIR="content"

# Process each Markdown file in the specified directory and its subfolders.
find "$START_DIR" -type f -name "*.md" | while read -r file; do
    echo "Processing: $file"

andreagrandi

# Migration script from Pelican to Hugo
import os, re, shutil
from pathlib import Path

INPUT_FOLDER = "content"
OUTPUT_FOLDER = "content-hugo"

# Custom sort key function
def sort_key(path):
    # Extract the base filename without the extension

andreagrandi

if DEBUG:
    EMAIL_HOST = 'localhost'
    EMAIL_PORT = 1025
    EMAIL_HOST_USER = ''
    EMAIL_HOST_PASSWORD = ''
    EMAIL_USE_TLS = False
    DEFAULT_FROM_EMAIL = 'testing@example.com'

andreagrandi

from rest_framework.permissions import BasePermission, SAFE_METHODS


class IsAdminOrReadOnly(BasePermission):
    def has_permission(self, request, view):
        if request.method in SAFE_METHODS:
            return True
        else:
            return request.user.is_staff

andreagrandi

package main

import (
	"encoding/json"
	"fmt"
	"net/http"
)

type test_struct struct {
	Test string

andreagrandi

# Install dependencies first:
# brew install pyenv
# brew install pyenv-virtualenv
export PYENV_ROOT="$HOME/.pyenv"
export PATH="$PYENV_ROOT/bin:$PATH"
eval "$(pyenv init --path)"
eval "$(pyenv init -)"
eval "$(pyenv virtualenv-init -)"

andreagrandi

Andrea Grandi User Manual

This is my user manual. If we are working together (or planning to), please read it carefully. You will learn how to deal with me productively and avoid misunderstandings.

My style

• I need to understand why I'm doing something
• I love working as a part of a team, not as an individual
• I love pair programming
• I like to have a very basic working version first and iterate on it

andreagrandi

# Copyright (c) 2013, Andrea Grandi and individual contributors.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification, 
# are permitted provided that the following conditions are met:
#
#       1) Redistributions of source code must retain the above copyright notice, 
# 	   this list of conditions and the following disclaimer.
#
# 	2) Redistributions in binary form must reproduce the above copyright notice, 

andreagrandi

from keras.datasets import mnist
from keras import models
from keras import layers
from keras.utils import to_categorical


(train_images, train_labels), (test_images, test_labels) = mnist.load_data()

network = models.Sequential()
network.add(layers.Dense(512, activation='relu', input_shape=(28 * 28,)))

andreagrandi

Keybase proof

I hereby claim:

• I am andreagrandi on github.
• I am andreagrandi (https://keybase.io/andreagrandi) on keybase.
• I have a public key ASClZLE2JRXY3NdFfmpwO-4yEwrmRL45_zVUR6heAwiKWgo

To claim this, I am signing this object: