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+# David Beazley | Keynote: Built-in Super Heroes
+
+YouTube Link:
+https://www.youtube.com/watch?v=lyDLAutA88s
+
+## Timestamps
+
+00:00:00 - Introduction
+00:02:30 - Built-in Types
+00:03:45 - Generalities about built-in types
+00:07:10 - Tuple
+00:08:43 - List
+00:09:14 - Set
+00:10:00 - Dict
+00:10:50 - Counter
+00:11:30 - Default Dict
+00:13:20 - Basic Powers
+00:14:25 - Built-in Powers
+00:15:33 - Iteration Powers
+00:16:53 - Example: Food Inspections in Chicago
+00:19:54 - Check all possible results
+00:20:27 - Filtering failed inspections
+00:21:35 - Filtering most common names in failed inspections
+00:23:26 - Cleaning up the data
+00:26:00 - Checking the most common street in failed inspections
+00:27:00 - Filtering the most common street by year
+00:29:20 - Grabbing all items from the most common street in 2016
+00:30:14 - Business names in the most common street
+00:31:30 - Identifying the worst location
+00:33:40 - Collect inspection numbers by license number
+00:35:44 - Most common way to fail an inspection at the location
+00:41:00 - Outro
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diff --git a/pydata-global-2021/introduction-to-quantum-computing-with-qiskit.md b/pydata-global-2021/introduction-to-quantum-computing-with-qiskit.md
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+## Introduction to Quantum Computing with Python and Qiskit
+
+YouTube URL: https://www.youtube.com/watch?v=ldX7ssvJx8M
+
+### Chapters
+
+00:06 – Begin of presentation  
+00:38 – Agenda  
+01:09 – Introduction  
+01:45 – What is Quantum Computing?  
+03:27 – Quantum Computing vs Classical Computing  
+06:49 – Real world applications  
+07:15 – Communications  
+08:02 – Cybersecurity  
+09:03 – IBM Quantum  
+10:00 – Composer (UI)  
+10:10 – OpenQASM vs Qiskit  
+11:50 – Start coding with Python in Quantum Lab  
+12:36 – Qiskit  
+13:00 – Quantum coding through Jupyter Notebooks  
+13:25 – First step  
+13:35 – Backend options  
+15:00 – Base circuit  
+15:55 – Visualization  
+16:52 – Results (State Vector vs QASM)  
+23:00 – Next steps