letsar

import 'package:flutter/material.dart';
import 'package:flutter/rendering.dart';
import 'package:flutter/widgets.dart';
import 'package:flutter_sticky_header/flutter_sticky_header.dart';

class _Page {
  const _Page(
    this.id,
    this.title,
    this.color,

bsletten

This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.

I will generally list things in order of easier to more formal/challenging content.

It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.

I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an

uhho

def s3_to_pandas(client, bucket, key, header=None):

    # get key using boto3 client
    obj = client.get_object(Bucket=bucket, Key=key)
    gz = gzip.GzipFile(fileobj=obj['Body'])
    
    # load stream directly to DF
    return pd.read_csv(gz, header=header, dtype=str)

def s3_to_pandas_with_processing(client, bucket, key, header=None):

derekdon

'use strict';

var webpack = require('webpack'),
    path = require('path'),
    BowerWebpackPlugin = require('bower-webpack-plugin');

module.exports = {
    entry: {
        vendor: [
            'angular',

syafiqfaiz

1. Change your database RDS instance security group to allow your machine to access it.
   • Add your ip to the security group to acces the instance via Postgres.
2. Make a copy of the database using pg_dump
   • $ pg_dump -h <public dns> -U <my username> -f <name of dump file .sql> <name of my database>
   • you will be asked for postgressql password.
   • a dump file(.sql) will be created
3. Restore that dump file to your local database.
   • but you might need to drop the database and create it first
   • $ psql -U <postgresql username> -d <database name> -f <dump file that you want to restore>

• the database is restored

Atlas7

This blog post has helped me clean up my postgres development environment on Mac. So making a copy!

How completely uninstall PostgreSQL 9.X on Mac OSX

This article is referenced from stackoverflow:

If installed PostgreSQL with homebrew , enter brew uninstall postgresql

If you used the EnterpriseDB installer , follow the following step.

ajayk

2016/01/08 23:57:02 [error] 68363#0: *38 SSL_do_handshake() failed (SSL: error:14077410:SSL routines:SSL23_GET_SERVER_HELLO:sslv3 alert handshake failure) while SSL handshaking to upstream, client: 127.0.0.1, server: localhost, request: "GET /api/providers HTTP/1.1", upstream: "https://xx.xx.xx.xx:443/stage", host: "localhost"
2016/01/08 23:57:02 [warn] 68363#0: *38 upstream server temporarily disabled while SSL handshaking to upstream, client: 127.0.0.1, server: localhost, request: "GET /api/providers HTTP/1.1", upstream: "https://xx.xx.xx.xx:443/stage", host: "localhost"

MichaelCurrie

PEP-8 is a set of Python style recommendations. pep8 is a module that checks your .py file for violations. To make your Travis-CI build fail if you have any violations, you could add these lines to your .travis.yml:

before_install:
    - pip install pep8
    
script:
    # Run pep8 on all .py files in all subfolders
    # (I ignore "E402: module level import not at top of file"
    # because of use case sys.path.append('..'); import <module>)

haridas

"""
To Test this Script the start 8 memcache servers using this command.
$ memcached -d -p {PortNumber}

PortNumber:

    11211
    11212
    11213
    11214

drorata

# Initialize the scroll
page = es.search(
  index = 'yourIndex',
  doc_type = 'yourType',
  scroll = '2m',
  search_type = 'scan',
  size = 1000,
  body = {
    # Your query's body
    })