**   ** **5. Data:** **             ** **[`JSON`](#json)**__,__ **[`Pickle`](#pickle)**__,__ **[`CSV`](#csv)**__,__ **[`SQLite`](#sqlite)**__,__ **[`Bytes`](#bytes)**__,__ **[`Struct`](#struct)**__,__ **[`Array`](#array)**__,__ **[`Memory_View`](#memory-view)**__,__ **[`Deque`](#deque)**__.__

**   ** **6. Advanced:** **   ** **[`Threading`](#threading)**__,__ **[`Operator`](#operator)**__,__ **[`Introspection`](#introspection)**__,__ **[`Metaprograming`](#metaprograming)**__,__ **[`Eval`](#eval)**__,__ **[`Coroutines`](#coroutines)**__.__

**   ** **7. Libraries:** **      ** **[`Progress_Bar`](#progress-bar)**__,__ **[`Plot`](#plot)**__,__ **[`Table`](#table)**__,__ **[`Curses`](#curses)**__,__ **[`Logging`](#logging)**__,__ **[`Scraping`](#scraping)**__,__ **[`Web`](#web)**__,__ **[`Profile`](#profiling)**__,__

Main

{<el>:^10} # ' <el> '

{<el>:>10} # ' <el>'

{<el>:.<10} # '<el>......'

>>> import requests

>>> data = {'team': 'arsenal f.c.'}

>>> response = requests.post(url, data=data)

>>> response.json()

Plotly


covid = pd.read_csv('https://covid.ourworldindata.org/data/owid-covid-data.csv',

usecols=['iso_code', 'date', 'total_deaths', 'population'])

continents = pd.read_csv('https://datahub.io/JohnSnowLabs/country-and-continent-codes-' + \

df['Total Deaths per Million'] = df.total_deaths * 1e6 / df.population

df = df[('2020-03-14' < df.date) & (df.date < '2020-06-25')]

df = df.rename({'date': 'Date', 'Continent_Name': 'Continent'}, axis='columns')


import plotly.graph_objects as go

import datetime

def main():

def scrape_data():

def scrape_yahoo(id_):

**Library that compiles Python code into C.**

<cython_script>.main()

* **All `'cdef'` definitions are optional, but they contribute to the speed-up.**

* **Script needs to be saved with a `'pyx'` extension.**

cdef enum <enum_name>: <member_name_1>, <member_name_2>, ...

$ pip3 install pyinstaller

<strong><span class="hljs-string"><span class="hljs-string">'5. Data'</span></span></strong>: [<a href="#json">JSON</a>, <a href="#pickle">Pickle</a>, <a href="#csv">CSV</a>, <a href="#sqlite">SQLite</a>, <a href="#bytes">Bytes</a>, <a href="#struct">Struct</a>, <a href="#array">Array</a>, <a href="#memoryview">Memory_View</a>, <a href="#deque">Deque</a>],

<strong><span class="hljs-string"><span class="hljs-string">'6. Advanced'</span></span></strong>: [<a href="#threading">Threading</a>, <a href="#operator">Operator</a>, <a href="#introspection">Introspection</a>, <a href="#metaprograming">Metaprograming</a>, <a href="#eval">Eval</a>, <a href="#coroutines">Coroutine</a>],

<strong><span class="hljs-string"><span class="hljs-string">'7. Libraries'</span></span></strong>: [<a href="#progressbar">Progress_Bar</a>, <a href="#plot">Plot</a>, <a href="#table">Table</a>, <a href="#curses">Curses</a>, <a href="#logging">Logging</a>, <a href="#scraping">Scraping</a>, <a href="#web">Web</a>, <a href="#profiling">Profile</a>,

}

{&lt;el&gt;:^<span class="hljs-number">10</span>} <span class="hljs-comment"># ' &lt;el&gt; '</span>

{&lt;el&gt;:&gt;<span class="hljs-number">10</span>} <span class="hljs-comment"># ' &lt;el&gt;'</span>

{&lt;el&gt;:.&lt;<span class="hljs-number">10</span>} <span class="hljs-comment"># '&lt;el&gt;......'</span>

<div><h3 id="strings">Strings</h3><p><strong><code class="python hljs"><span class="hljs-string">'!r'</span></code> calls object's <a href="#class">repr()</a> method, instead of <a href="#class">str()</a>, to get a string.</strong></p><pre><code class="python language-python hljs">{<span class="hljs-string">'abcde'</span>!r:<span class="hljs-number">10</span>} <span class="hljs-comment"># "'abcde' "</span>

<div><h4 id="test">Test:</h4><pre><code class="python language-python hljs"><span class="hljs-comment"># $ pip3 install requests</span>

<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">import</span> requests

<span class="hljs-meta">&gt;&gt;&gt; </span>data = {<span class="hljs-string">'team'</span>: <span class="hljs-string">'arsenal f.c.'</span>}

<span class="hljs-meta">&gt;&gt;&gt; </span>response = requests.post(url, data=data)

<span class="hljs-meta">&gt;&gt;&gt; </span>response.json()

usecols=[<span class="hljs-string">'iso_code'</span>, <span class="hljs-string">'date'</span>, <span class="hljs-string">'total_deaths'</span>, <span class="hljs-string">'population'</span>])

continents = pd.read_csv(<span class="hljs-string">'https://datahub.io/JohnSnowLabs/country-and-continent-codes-'</span> + \

<span class="hljs-string">'list/r/country-and-continent-codes-list-csv.csv'</span>,

df[<span class="hljs-string">'Total Deaths per Million'</span>] = df.total_deaths * <span class="hljs-number">1e6</span> / df.population

df = df[(<span class="hljs-string">'2020-03-14'</span> &lt; df.date) &amp; (df.date &lt; <span class="hljs-string">'2020-06-25'</span>)]

df = df.rename({<span class="hljs-string">'date'</span>: <span class="hljs-string">'Date'</span>, <span class="hljs-string">'Continent_Name'</span>: <span class="hljs-string">'Continent'</span>}, axis=<span class="hljs-string">'columns'</span>)

<span class="hljs-keyword">import</span> datetime

<span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">main</span><span class="hljs-params">()</span>:</span>

<span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">scrape_data</span><span class="hljs-params">()</span>:</span>

<span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">scrape_yahoo</span><span class="hljs-params">(id_)</span>:</span>

<span class="hljs-keyword">import</span> pyximport; pyximport.install()

<span class="hljs-keyword">import</span> &lt;cython_script&gt;

&lt;cython_script&gt;.main()

<li><strong>All <code class="python hljs"><span class="hljs-string">'cdef'</span></code> definitions are optional, but they contribute to the speed-up.</strong></li>

<li><strong>Script needs to be saved with a <code class="python hljs"><span class="hljs-string">'pyx'</span></code> extension.</strong></li>

</ul><pre><code class="python language-python hljs">cdef &lt;type&gt; &lt;var_name&gt; = &lt;el&gt;

<pre><code class="python language-python hljs">cdef enum &lt;enum_name&gt;: &lt;member_name_1&gt;, &lt;member_name_2&gt;, ...

$ pyinstaller script.py <span class="hljs-comment"># Compiles into './dist/script' directory.</span>

$ pyinstaller script.py --onefile <span class="hljs-comment"># Compiles into './dist/script' console app.</span>

$ pyinstaller script.py --windowed <span class="hljs-comment"># Compiles into './dist/script' windowed app.</span>

$ pyinstaller script.py --add-data '&lt;path&gt;:.' <span class="hljs-comment"># Adds file to the root of the executable.</span>

<li><strong>File paths need to be updated to <code class="python hljs"><span class="hljs-string">'os.path.join(sys._MEIPASS, &lt;path&gt;)'</span></code>.</strong></li>

' <strong><span class="hljs-string">\'5. Data\'</span></strong>: [<a href="#json">JSON</a>, <a href="#pickle">Pickle</a>, <a href="#csv">CSV</a>, <a href="#sqlite">SQLite</a>, <a href="#bytes">Bytes</a>, <a href="#struct">Struct</a>, <a href="#array">Array</a>, <a href="#memoryview">Memory_View</a>, <a href="#deque">Deque</a>],\n' +

' <strong><span class="hljs-string">\'6. Advanced\'</span></strong>: [<a href="#threading">Threading</a>, <a href="#operator">Operator</a>, <a href="#introspection">Introspection</a>, <a href="#metaprograming">Metaprograming</a>, <a href="#eval">Eval</a>, <a href="#coroutines">Coroutine</a>],\n' +

' <strong><span class="hljs-string">\'7. Libraries\'</span></strong>: [<a href="#progressbar">Progress_Bar</a>, <a href="#plot">Plot</a>, <a href="#table">Table</a>, <a href="#curses">Curses</a>, <a href="#logging">Logging</a>, <a href="#scraping">Scraping</a>, <a href="#web">Web</a>, <a href="#profiling">Profile</a>,\n' +

'}\n' +

'</code></pre>\n';