falsehoods
Misconceptions
A repository of programmer misconceptions about various subjects
falsehoods programmers believe about X
68 stars
5 watching
4 forks
last commit: over 5 years agoLinked from 1 awesome list
falsehoods-programmers
kdeldycke/awesome-falsehoodRelated projects:
| Repository | Description | Stars |
|---|---|---|
 gottfriedsz/falsehoods-quantum | Correcting misconceptions about quantum technology and its applications in computing | 9 |
 antjanus/programmers-proverbs | A collection of wisdoms and proverbs on programming and life | 676 |
 the-xentropy/samlists | Automatically generated lists of words and phrases found in publicly available data sources. | 559 |
 epidemics-scepticism/writing | A collection of guides and experiments on writing about privacy, security, and anonymity in the context of software development | 41 |
 xyele/hackerone_wordlist | A curated list of common words and phrases used in hacking attempts to aid in security testing and assessment | 0 |
 doctorwebltd/malware-iocs | A collection of threat intelligence data, specifically malware indicators related to compromise events. | 221 |
 faultyfunctions/gamemakerlibraries | A comprehensive collection of GameMaker libraries and extensions for building games | 2 |
 scottjehl/device-bugs | A repository of known issues and quirks with browsers on various devices | 864 |
 you-dont-need/you-dont-need | A resource providing guidance on common misconceptions about popular libraries and frameworks in software development | 3,510 |
 rowanz/grover | A framework for defending against neural fake news through both generation and detection of fake news articles. | 918 |
 karneades/malware-persistence | A collection of information on malware persistence mechanisms and techniques. | 165 |
 tjchambers/mutant-musings | Sharing learnings on mutation testing with the Mutant gem in Ruby applications | 13 |
 xlaszlo/datascience-fails | Collects and documents common pitfalls and failure reasons in data science projects | 460 |
 faultify/faultify | A tool to introduce controlled errors into .NET test projects to help identify error-prone code. | 18 |
 perceptilabs/wildfire-detection | Develops machine learning models to automatically detect wildfires from images | 7 |