Updated remove_links.py script

pdf/remove_links.py

@@ -19,15 +19,15 @@ MATCHES = {
     '<strong>Objects returned by the <a href="#itertools">itertools</a> module, such as count, repeat and cycle.</strong>': '<strong>Objects returned by the itertools module, such as count, repeat and cycle (p. 3).</strong>',
     '<strong>Generators returned by the <a href="#generator">generator functions</a> and <a href="#comprehensions">generator expressions</a>.</strong>': '<strong>Generators returned by the generator functions (p. 4) and generator expressions (p. 11).</strong>',
     '<strong>File objects returned by the <a href="#open">open()</a> function, etc.</strong>': '<strong>File objects returned by the open() function (p. 22), etc.</strong>',
-    '<strong>Use <code class="python hljs"><span class="hljs-string">\'logging.exception(&lt;message&gt;)\'</span></code> to log the passed message, followed by the full error message of the caught exception. For details see <a href="#logging">logging</a>.</strong>': '<strong>Use <code class="python hljs"><span class="hljs-string">\'logging.exception(&lt;message&gt;)\'</span></code> to log the passed message, followed by the full error message of the caught exception. For details see logging (p. 32).</strong>',
+    '<strong>Use <code class="python hljs"><span class="hljs-string">\'logging.exception(&lt;str&gt;)\'</span></code> to log the passed message, followed by the full error message of the caught exception. For details see <a href="#logging">logging</a>.</strong>': '<strong>Use <code class="python hljs"><span class="hljs-string">\'logging.exception(&lt;str&gt;)\'</span></code> to log the passed message, followed by the full error message of the caught exception. For details see logging (p. 32).</strong>',
     '<strong>Functions report OS related errors by raising either OSError or one of its <a href="#exceptions-1">subclasses</a>.</strong>': '<strong>Functions report OS related errors by raising OSError or one of its subclasses (p. 23).</strong>',
     '<strong>To print the spreadsheet to the console use <a href="#table">Tabulate</a> library.</strong>': '<strong>To print the spreadsheet to the console use Tabulate library (p. 34).</strong>',
     '<strong>For XML and binary Excel files (xlsx, xlsm and xlsb) use <a href="#dataframeplotencodedecode">Pandas</a> library.</strong>': '<strong>For XML and binary Excel files (xlsx, xlsm and xlsb) use Pandas library (p. 46).</strong>',
     '<strong>Bools will be stored and returned as ints and dates as <a href="#encode">ISO formatted strings</a>.</strong>': '<strong>Bools will be stored and returned as ints and dates as ISO formatted strings (p. 9).</strong>',
-    '<strong>ProcessPoolExecutor provides true parallelism but: everything sent to/from workers must be <a href="#pickle">pickable</a>, queues must be sent using executor\'s \'initargs\' and \'initializer\' parameters, and all executors should only be reachable via <code class="python hljs"><span class="hljs-string">\'if __name__ == "__main__": ...\'</span></code>.</strong>': '<strong>ProcessPoolExecutor provides true parallelism but: everything sent to/from workers must be pickable, queues must be sent using executor\'s \'initargs\' and \'initializer\' parameters, and all executors should only be reachable via <code class="python hljs"><span class="hljs-string">\'if __name__ == "__main__": ...\'</span></code>.</strong>',
+    '<strong>ProcessPoolExecutor provides true parallelism but: everything sent to/from workers must be <a href="#pickle">pickable</a>, queues must be sent using executor\'s \'initargs\' and \'initializer\' parameters, and executor should only be reachable via <code class="python hljs"><span class="hljs-string">\'if __name__ == "__main__": ...\'</span></code>.</strong>': '<strong>ProcessPoolExecutor provides true parallelism but: everything sent to/from workers must be pickable, queues must be sent using executor\'s \'initargs\' and \'initializer\' parameters, and executor should only be reachable via <code class="python hljs"><span class="hljs-string">\'if __name__ == "__main__": ...\'</span></code>.</strong>',
     '<strong>Asyncio module also provides its own <a href="#queue">Queue</a>, <a href="#semaphoreeventbarrier">Event</a>, <a href="#lock">Lock</a> and <a href="#semaphoreeventbarrier">Semaphore</a> classes.</strong>': '<strong>Asyncio module also provides its own Queue, Event, Lock and Semaphore classes (p. 30).</strong>',
     '<strong>Install a WSGI server like <a href="https://flask.palletsprojects.com/en/latest/deploying/waitress/">Waitress</a> and a HTTP server such as <a href="https://flask.palletsprojects.com/en/latest/deploying/nginx/">Nginx</a> for better security.</strong>': '<strong>Install a WSGI server like Waitress and a HTTP server such as Nginx for better security.</strong>',
-    '<strong>The "latest and greatest" profiler that can also monitor GPU usage is called <a href="https://github.com/plasma-umass/scalene">Scalene</a>.</strong>': '<strong>The "latest and greatest" profiler that can also monitor GPU usage is called Scalene.</strong>',
+    '<strong>Data analysis library. For examples see <a href="#displays-a-line-chart-of-total-coronavirus-deaths-per-million-grouped-by-continent">Plotly</a>.</strong>': '<strong>Data analysis library. For examples see Plotly (p. 47).</strong>',
 }