10x Time

Every Wednesday afternoon we read technical articles, watch videos, work on mini-projects, and then we discuss it on a joint video call. Here is the list of historical 10x topics.

• Cybersecurity in Medical Devices: Quality System Considerations and Content of Premarket Submissions
• Hacker Laws
• Cython
• Structural Pattern Matching
• Cross-Platform Mobile Development with React Native
• The Socratic Method: A Practioner's Handbook by Ward Farnsworth
• Learning Resource Sharing
• Small Group Session Planning
• An Introduction to GitHub Actions by Gabriel Tanner
• Parameter-Based Testing Using Hypothesis by Hypothesis Works
• The C4 model for visualising software architecture by Simon Brown
• Docker Documentation Review by Docker
• Risk-First Software Development - On Estimating by Rob Moffat
• Risk-First Software Development by Rob Moffat
• Complete Guide to Bringing a Medical Device to Market by Tom Rish
• How to Write a Git Commit Message by Chris Beams
• What is Elasticsearch?
• Web Content Accessibility Guidelines (WCAG) 2.1 by Ben Caldwell, Michael Cooper, Loretta Guarino Reid, Gregg Vanderheiden, et. al.
• GraphQL
• Julia
• Write code that is easy to delete, not easy to extend. by tef
• Video Series - Learn how the Internet works by Ben Eater
• Will handheld ultrasound bring imaging into the home?
• D. Richard Hipp - SQLite [The Databaseology Lectures - CMU Fall 2015] by D. Richard Hipp
• Top 10 Application-Design Mistakes by Jakob Nielsen and Page Laubheimer
• Files are fraught with peril by Dan Luu
• Digital Image Processing by Wilhelm Burger and Mark J. Burge
• Medical Imaging Signals and Systems (2nd Edition) by Jerry L. Prince and Jonathan Links
• Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) by FDA
• Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) by FDA
• Coursera: Cryptography
• Stanford: Implementing an OS in Rust on a Raspberry Pi
• MIT OCW: Applied Category Theory
• PEP 557 -- Data Classes by Eric V. Smith
• Round Table Discussion of 2018 FDA Safety Communications by USA Food and Drug Administration
• Round Table Discussion of Attack's in OWASP's Cyber Security Catalog
• Overview of Fluorescence Glucose Sensing: A Technology with a Bright Future by David C. Klonoff
• Write tests. Not too many. Mostly integration. by Kent C. Dodds
• The Practical Test Pyramid by Ham Vocke
• Just Say No to More End-to-End Tests by Mike Wacker
• Deep learning in radiology: an overview of the concepts and a survey of the state of the art by Maciej A. Mazurowski et. al.
• Why Doctors Hate Their Computers by Atul Gawande
• Linux Kernel Development, 3e: Chapter 14 on The Block I/O Layer by Robert Love
• Linux Kernel Development, 3e: Chapter 13 on The Virtual File System by Robert Love
• How Browsers Work by Tali Garsiel
• Networking Tutorial by Ben Eater
• HIPAA Security Rule Regulation
• PEP484 - Type Hints
• Bash Scripting Best Practices by Yaroslav Tkachenko
• Defensive BASH programming by Kfir Lavi
• Beyond PEP 8 -- Best practices for beautiful intelligible code by Raymond Hettinger
• Automated Medical Image Segmentation Techniques
• Localization Project by J. David Giese and Yujan Shrestha, MD
• Regulatory Documentation Manager by J. David Giese
• HIPAA Compliance for Developers: Getting Started by Aptible
• What Every Computer Scientist Should Know About Floating Point Arithmetic by David Goldberg
• Distributing Python Modules - Writing the Setup Script
• PEP 427 -- The Wheel Binary Package Format 1.0 by Daniel Holth
• Miniproject: Interpolation and Registration by J. David Giese
• Medical Image Registration by Derek L G Hill, Philipp G Batchelor, Mark Holden and David J Hawkes
• Class activation maps in Keras for visualizing where deep learning networks pay attention by Jacob Gildenblat
• Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps by Karen Simonyan, et al.
• Alice in Python Projectland by Vicki Boykis
• The Law of Leaky Abstractions by Joel Spolsky
• The Iceberg Secret, Revealed by Joel Spolsky
• Things You Should Never Do, Part I by Joel Spolsky
• Recursive Neural Tensor Nets
• Learning From Data, Section 2.3 by Yaser S. Abu-Mostafa, et al.
• Learning From Data, Section 2.2 by Yaser S. Abu-Mostafa, et al.
• Nuts and Bolts of Applying Deep Learning by Andrew Ng
• Learning From Data, Section 2.1 by Yaser S. Abu-Mostafa, et al.
• Concurrent computing with Python
• A stable and fast implementation of natural neighbor interpolation by Luming Liang & Dave Hale
• Education of a Programmer by Terry Crowley
• Learning From Data, Section 1.4 by Yaser S. Abu-Mostafa, et al.
• Learning From Data, Section 1.3 by Yaser S. Abu-Mostafa, et al.
• Learning From Data, Section 1.2 by Yaser S. Abu-Mostafa, et al.
• Learning From Data, Section 1.1 by Yaser S. Abu-Mostafa, et al.
• What is the expectation maximization algorithm? by Chuong B Do & Serafim Batzoglou
• What is self-documenting code and can it replace well documented code? [SO]
• How to Write the Perfect Pull Request by Keavy McMinn
• CT Image Reconstruction by Terry Peters
• The Python 3 Data Model by Jeff Donahue et al.
• Getting started with three.js and WebGL by James Sanchez Elias
• DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition by Jeff Donahue et al.
• Fully Convolutional Networks for Semantic Segmentation by Evan Shelhamer, Jonathan Long, and Trevor Darrell
• Pixel Recurrent Neural Networks by Aäron van den Oord, Nal Kalchbrenner, and Koray Kavukcuoglu
• Visualizing and Understanding Convolutional Networks by Matthew D. Zeiler and Rob Fergus
• Deep Learning, Self-Taught Learning and Unsupervised Feature Learning by Andrew Ng
• Quality Work Doesn't Mean Quality Service by David H. Maister
• Dermatologist-level classification of skin cancer with deep neural networks by Andre Esteva, et al.
• Why Django Sucks by Emil Stenström
• PyOpenCL Examples - First Six Mini Projects by Tiago Ramalho
• On Writing Well - Chapter 10, Bits and Pieces by William Zinsser
• The Rust Programming Language: Chapter 4 on Syntax and Semantics by The Rust Development Team
• React Quick Start by The React Development Team
• Understanding the Basis of the Kalman Filter
• Digital Image Processing: Sampling, Discrete Fourier Transform, Sample Rate by Aggelos K. Katsaggelos
• Digital Image Processing: 2D Convolution, Filtering in Spatial Domain, 2D Fourier Transform by Aggelos K. Katsaggelos
• Redux: UI Framework by Dan Abramov
• RFC 3986: Uniform Resource Identifier (URI): Generic Syntax by Berners-Lee, et al.
• The Humble Programmer by Edsger W. Dijkstra
• Clean Code - Chapter 3 on Functions by Robert C. Martin
• Clean Code - Chapter 2 on Meaningful Names by Robert C. Martin
• Medical Image registration by Derek L G Hill, et al.
• RFC 793: Transmission Control Protocol by Information Sciences Institute
• Code Complete, 2ed - Chapter 20 on The Software Quality Landscape by Steve McConnell
• Code Complete, 2ed - Chapter 7 on High-Quality Routines by Steve McConnell
• Django by Django Software Foundation
• Logical fallacies in software development by Artur Martsinkovskyi
• Git Deep Dive by GitHub.com
• Disassembly with Ghidra by The National Security Agency
• Writing Professionaly by Writing Commons
• Automation
• Tools Discovery
• Generative Adversarial Networks (GANs) by Jason Brownlee
• Haskell and Functional Programming Lessions by Miran Lipovaca
• FIPS-140-2 and -3
• The Usability of Advanced Type Systems
• Intended Use/Indications for Use and the FDA Browser by Jim Luker
• Debugging Tools
• ChatGPT Prompt Engineering for Developers by Isa Fulford and Andrew Ng
• (125%)**10 == 10x
• Introduction to Biostatistics by Caitlin Ward and Collin Nolte