whistler

{
  "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json",
  "basics": {
    "name": "Ibrahim Muhammad",
    "label": "Technical Manager at EarthDaily Analytics | Machine Learning, Cloud Computing, Geospatial",
    "image": "",
    "email": "ibmmmm@gmail.com",
    "phone": "",
    "url": "",
    "summary": "Technical manager for a team creating a satellite image processing system.\n\nSoftware Engineering: Received Developer 30 Under 30 award. Full-stack software engineering experience working on data pipelines, cloud infrastructure, web user interfaces, API services and CICD.\n\nMachine Learning: Neural Networks, Convolutional Neural Networks/Deep Learning, Computer Vision, Image Classification & Semantic Segmentation, Reinforcement Learning\n\nTechnical Leadership: Manager for an Earth Observation Analytics Ready Data team. Maximizing ROI as a Product Owner and streamlining team processes as a ScrumMaster.",

whistler

# To install the most recent version go to https://www.anaconda.com/download/
wget https://repo.anaconda.com/archive/Anaconda3-5.2.0-Linux-x86_64.sh
bash Anaconda3-5.2.0-Linux-x86_64.sh

conda install -y -c conda-forge jupyterlab
conda install -y scikit-learn
conda install -y pytorch torchvision cuda91 -c pytorch
conda install -y opencv matplotlib scikit-image
conda install -y affine #rasterio
pip install rasterio==1.0.1 # conda does not have v1 of rasterio yet

whistler

from functools import reduce
import shapely.geometry
import geojson

def merge_aois(aois):
    shapes = (shapely.geometry.asShape(aoi) for aoi in aois)
    union = reduce(lambda a, b: a.union(b), shapes)
    merged_aoi = geojson.Feature(geometry=union, properties={})
    return merged_aoi

whistler

count=12288
sudo swapoff -a
sudo dd if=/dev/zero of=/swapfile bs=1M count=1024
sudo mkswap /swapfile
sudo swapon /swapfile

whistler

N = 10000000

def loops():
    nums = []
    for num in range(N):
        nums.append(num*2)
    #print nums
        
        
def list_comprehensions():

whistler

function fetch(url, callback) {
  console.log('Getting ' + url);
  var delay = (Math.round(Math.random() * 1E4) % 4000) + 1000
  var response = 'Content for ' + url;
  setTimeout(function() {
    callback(response)
  }, delay);
}

function promiseFetch(url) {

whistler

import os
import json
import httplib2
import flask
from oauth2client import client
from apiclient.discovery import build

http_auth = None
view_id = '00000000' # Add view id here

whistler

var AnimalView = Backbone.View.extend({
    ..
    save: function() {
        var that = this;
        if(!this.isSaved) {
            that.model.save()
        } else {
            that.alreadySaved();
        }
    },

whistler

from csv import DictWriter
from glob import glob
from ofxparse import OfxParser

DATE_FORMAT = "%m/%d/%Y"

def write_csv(statement, out_file):
    print "Writing: " + out_file
    fields = ['date', 'payee', 'debit', 'credit', 'balance']
    with open(out_file, 'w') as f:

whistler

import sys 
import time

for i in range(10):
    print '\r',         # print is Ok, and comma is needed.
    time.sleep(0.3)
    print i,
    sys.stdout.flush()  # flush is needed.