Lightning Talks: Python, Analysis, and Problem Solving
Explore lightning talks covering various topics like Python modules, data analysis, introduction to network concepts, problem-solving techniques, and seeking volunteers for future lightning talks. The talks delve into Python coding, Google Maps API analysis, network fundamentals, and XML file structuring, offering insights and solutions to coding challenges.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
A lightning talk on lightning A lightning talk on lightning talks talks or 5 lightning talks in 5 minutes 5 lightning talks in 5 minutes Robin Wilson www.rtwilson.com robin@rtwilson.com
A cool Python module pip install tqdm from tqdm import tqdm for item in tqdm(stuff): # Do stuff
An interesting analysis directions_result = gmaps.directions(from_loc, to_loc, mode="driving", departure_time=now) time_taken = directions_result[0]['legs'][0]['duration_in_traffic']['value'] / 60 Google Maps API Cron Python Database
A brief introduction to a topic Shortest Path Connected components Centrality Distance Matrices Depth-First Search Breadth-First Search People? Computers? Roads? Web pages? Nodes & Edges Directed or Non-Directed networkx, rustworkx
A problem and how I solved it class MyTreeBuilder: """ Class used to build the tree structure of an XML file in memory, while keeping track of byte offsets to get XML element locations. Note: the majority of this is copied from the Python Standard Library TreeBuilder, but this has been extended to: - Store a parser instance from the constructor - Call self._parser.parser.CurrentByteIndex to get the byte index in methods like `start` and `end` - Pass this byte index to the MyElement constructor - Set the end and text_start locations in the MyElement constructor too """ elem = self._factory( tag, attrs, start_byte=self._parser.parser.CurrentByteIndex, line_number=self._parser.parser.CurrentLineNumber, highlighted_file=self._highlighted_file, ) track_name_element = document.find("name") track_name = track_name_element.text track_name_element.record("name", track_name)
A problem Im still struggling with Convert back and forth efficiently! for index, row in chambers.iterrows(): obj = Node(id=row['id ], geometry=row['geometry']) index = graph.add_node(obj) graph[index].index = index rustworkx
Theyre not that hard, so They re not that hard, so volunteer to give a lightning talk volunteer to give a lightning talk next time! next time! Ideas: A cool Python module An interesting analysis A brief introduction to a topic A problem and how I solved it A problem I m still struggling with
![❤[PDF]⚡ Civil War Talks: Further Reminiscences of George S. Bernard and His Fel](/thumb/20551/pdf-civil-war-talks-further-reminiscences-of-george-s-bernard-and-his-fel.jpg)
