Bandit:Bandit is a security-focused linter that scans your code for common security issues. It’s particularly useful for identifying vulnerabilities in Python applications. 3. Setting Up Python Syntax Checkers To use Python syntax checkers effectively, you need to set them up in your development e...
python json – guide python collections – an introductory guide cprofile – how to profile your python code python yield – what does the yield keyword do? lambda function in python – how and when to use? what does python global interpreter lock – (gil) do? time series granger causality...
Such was the case a few years ago when I wrote the Feliza library (as part of the series demonstrating how to use SMS in the cloud using the Tropo cloud); while it could have been written in C#, F#’s pattern-matching and “active patterns” made it much easier to write than had ...
The above representation, however, won’t be practical on large arrays, in which case, you can use matplotlib histogram. 2. How to plot a basic histogram in python? The pyplot.hist() in matplotlib lets you draw the histogram. It required the array as the required input and you can speci...
Security Introducing Custom Compliance Frameworks in GitLab Read the blog Security Enhance application security with GitLab + HackerOne Security Secure and safe login and commits with GitLab + Yubico Read the blog We want to hear from you
Through notebooks in this module we will demonstrate how to implement three experimentation techniques as well as how to use Amazon CloudWatch Evidently for A/B tests. Overview A/B (400) Interleaving (400) Multi-Armed Bandit (400) CloudWatch Evidently (200) 200/400 1.5 hours Partner ...
Such was the case a few years ago when I wrote the Feliza library (as part of the series demonstrating how to use SMS in the cloud using the Tropo cloud); while it could have been written in C#, F#’s pattern-matching and “active patterns” made it much easier...
Model deployment was taking days and sometimes even weeks. Researchers learned that if they simplify models, they can get them into production much quicker, and thus were motivated to introduce not better but simpler models. Comcast has two use cases for their machine learning models: ...
(test.pre-commit, test.test) Runs isort, autoflake, black, pylint, mypy and pytest test.autoflake Runs autoflake to remove unused imports on all .py files recursively test.bandit Runs Bandit the security linter from PyCQA. test.black Runs black (autoformatter) on all .py files recursively ...
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