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- A cron job that could save you from a ransomware attack
cybersecurity ☕️☕️ 7 min read
How a simple scheduled job can help you quickly recover from ransomware.
- Publishing GitHub event data with GitHub Actions and Pages
data ☕️☕️ 8 min read
A guide to overcoming the GitHub event data horizon with a little command-line magic.
- Personal cybersecurity posture for when you're just this guy, you know?
cybersecurity ☕️☕️ 7 min read
Security best practices for the average person.
- Secure application architecture basics: separation, configuration, and access
cybersecurity ☕️☕️ 8 min read
A starting point for building secure application architecture, for busy developers.
- Migrating to the cloud but without screwing it up, or how to move house
aws ☕️☕️ 11 min read
A practical guide to moving to cloud services with minimal downtime, using AWS examples.
- How users and applications stay safe on the Internet: it's proxy servers all the way down
cybersecurity ☕️☕️ 9 min read
An overview of how proxy servers form the basis of online anonymity, and how their use in various forms helps both users and web applications.
- Hackers are Googling your plain text passwords: preventing sensitive data exposure
cybersecurity ☕️☕️ 8 min read
Why sensitive data controls need to be established long before you think you need them, as demonstrated by Google dorking.
- SQL injection and XSS: what white hat hackers know about trusting user input
cybersecurity ☕️☕️ 11 min read
A primer on SQL injection and cross site scripting, and how to handle user input in software development.
- How to write Bash one-liners for cloning and managing GitHub and GitLab repositories
terminal ☕️☕️ 8 min read
Using xargs and awk in Bash to automate managing remote-hosted repositories.
- Knapsack problem algorithms for my real-life carry-on knapsack
algorithms ☕️☕️☕️☕️ 23 min read
Using a greedy algorithm and dynamic programming to pack my full-time nomad travel bag.
- Things you need to know about becoming a Data Scientist
data ☕️☕️ 8 min read
Five Data Scientists discuss a day in the life and what it takes to be a successful Data Scientist.
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