(project name) will solve your problem of _____ by providing _____ and allowing _____.
Look how easy it is to use (code example follows):
import project
# get your stuff done
project.do_stuff()
| // from https://frontendmasters.github.io/bootcamp/ajax - more info there | |
| const BREEDS_URL = "https://dog.ceo/api/breeds/image/random"; | |
| const promise = fetch(BREEDS_URL); | |
| promise | |
| .then(function(response) { | |
| const processingPromise = response.json(); | |
| return processingPromise; |
| # assumes you already made a chart with Bokeh and it is assigned to a variable, chart1 | |
| # added code for exporting the chart as HTML + JS | |
| # https://bokeh.pydata.org/en/latest/docs/user_guide/embed.html | |
| from bokeh.plotting import figure | |
| from bokeh.resources import CDN | |
| from bokeh.embed import file_html | |
| # create a complete HTML file | |
| html = file_html(chart1, CDN, "bokeh_chart01") |
| import sqlite3 | |
| # no need to pip-install; comes w/ Python 3 | |
| # from https://www.youtube.com/watch?v=o-vsdfCBpsU | |
| # db connection | |
| # it's fine if the db named here doesn't exist yet - will be created | |
| conn = sqlite3.connect('tutorial.db') | |
| # define cursor |
| percentiles = [10, 20, 30, 40, 50, 60 ,70, 80, 90] | |
| all_scores = [44, 49, 54, 56, 62, 66, 67, 70, 72, 73, 73, 77, 80, 81, 83, 85, 85, 85, 89, 90, 96] | |
| percentiles_with_scores = {k: [] for k in percentiles} | |
| score_percentiles = tuple(zip(np.percentile(all_scores, percentiles), percentiles)) | |
| # let's see what's what | |
| print("Tuples:") | |
| print(score_percentiles) | |
| print("The dictionary:") |
| # To define a function, you write something in this pattern: | |
| def name_of_function(arg1, arg2): | |
| instructions | |
| instructions | |
| instructions | |
| ... | |
| return something | |
| # the number of arguments in parentheses may be none, or one, or any number |
| <style> | |
| svg { | |
| background-color: pink; | |
| } | |
| </style> | |
| <body> | |
| <script> | |
| const dataset = [12, 31, 22, 17, 25, 18, 29, 14, 9]; | |
| const w = 500; |
| <style> | |
| .bar { | |
| width: 25px; | |
| height: 100px; | |
| display: inline-block; | |
| background-color: blue; | |
| /* extra style */ | |
| margin-right: 5px; | |
| } | |
| </style> |
| # copy a column from a table into a plain-text file in Atom, save it | |
| # mine is named states.txt | |
| # here's how to get each line in that file into Python as a list of items | |
| myfile = open('states.txt') | |
| states_raw = myfile.readlines() | |
| # now states_raw holds a list made from lines in states.txt | |
| myfile.close() |
| from bs4 import BeautifulSoup | |
| import requests | |
| url = 'http://whc.unesco.org/en/list/937' | |
| html = requests.get(url) | |
| soup = BeautifulSoup(html.text, 'html.parser') | |
| # <div class="alternate"> | |
| box = soup.find( "div", {"class":"alternate"} ) | |
| # print(box) |