ncalm

/*
RANDSEQUENCE

Inputs:
  - numbers: the length of the sequence to be produced
  - max_between: the maximum difference between consecutive integers
  
Note: the minimum difference between one row and the next is assumed to be 1.
*/

slopp

Allwin12

import html2markdown

with open('wiki.html', 'r') as f:
    content = f.read()

markdown_content = html2markdown.convert(content)

with open('wiki.md', 'w') as f:
    f.write(markdown_content)

benjaminEwhite

Running the capstone 3 presentation as an evaluator

For their third and final capstone, students are asked to present the findings of the open-ended business research they do, identifying their own dataset.

This presentation is open to other members of the Thinkful community, but you should play the role of emcee, which means that you should introduce the student, then tell everyone the format ("Sara will present her research and afterwards she'll take questions and answers").

Remind the student to share their screen and make their presentation deck viewable for the audience.

When the presentation is done you should ask a small number of impromptu follow up questions. Then open it up to the audience for questions.

kauffmanes

Thanks everyone for commenting/contributing! I made this in college for a class and I no longer really use the technology. I encourage you all to help each other, but I probably won't be answering questions anymore.

This article is also on my blog, too.

Note: $ denotes the start of a command. Don't actually type this.

Steps to Install Anaconda on Windows Ubuntu Terminal

1. Install WSL (Ubuntu for Windows - can be found in Windows Store). I recommend the latest version (I'm using 18.04) because there are some bugs they worked out during 14/16 (microsoft/WSL#785)
2. Go to https://repo.continuum.io/archive to find the list of Anaconda releases
3. Select the release you want. I have a 64-bit computer, so I chose the latest release ending in x86_64.sh. If I had a 32-bit computer, I'd select the x86.sh version. If you accidentally try to install the wrong one, you'll get a warning in the terminal. I chose `Ana

kxzk

import dask.dataframe as dd
df = dd.read_csv('*.csv')

mrocklin

agounaris

import io
from IPython.nbformat import current

with io.open(filepath, 'r', encoding='utf-8') as f:
    nb = current.read(f, 'json')

word_count = 0
for cell in nb.worksheets[0].cells:
    if cell.cell_type == "markdown":
        word_count += len(cell['source'].replace('#', '').lstrip().split(' '))

jonathanslenders

{
    "monday": {
        "temperature_high": 67,
        "temperature_low": 61,
        "humidity": 79,
	"description": "beautiful",
        "wind": 17
    },
    "tuesday": {
        "temperature_high": 63,

nomeyer

df['x'].str.lower()