Random shout out to Material for Mkdocs. Makes writing documentation actually easy and the presentation is clean and modern (admonitions FTW). https://t.co/FjE10DuHcD
https://t.co/830qfGhemj
TLDR: AWS + EDA + Dash = win
BSides Albuquerque is Sept 8th and 9th. If you're in the neighborhood, check out our talk: https://t.co/H8EYdkmx9S
https://t.co/wx3Cg1idcd
#dash#plotly#AWS
Started work on a new project 'SageWorks'. The toolkit provides a 'scientist friendly' interface/API to building and deploying AWS/SageMaker ML Pipelines.
Looking for friendly alpha testers/contributors :)
https://t.co/rnBbprvJTk
#AWS#MachineLearning#Python
@adulau Did a conference presentation on an open source GitHub project (mildly popular)…. Guy comes up after the talk and we had pretty much had the identical conversation 😜
Big fan of SCP... if you haven't seen it yet check out Evan Royalty SCP: Overlord https://t.co/ASNEus9Pa4 and help fund the next one https://t.co/4BidD9yRyn
Secure, Contain, Protect....
Lots of improvements to the Zeek Analysis Tools
- Optimized Pandas and Spark DataFrames
- Dataframe to Matrix(ndarray) improved
- Spiffy new docs
https://t.co/u4YH72NO75
@Zeekurity#python#security
Lots of improvements to the Zeek Analysis Tools
- Optimized Pandas and Spark DataFrames
- Dataframe to Matrix(ndarray) improved
- Spiffy new docs
https://t.co/F8ZJU7jqx0
@Zeekurity#python#security
WOW, the BAT library by @BrifordWylie to parse @Zeekurity logs is a pure gold packed with features like dynamically querying VT and run Yara on extracted files!❤️ https://t.co/OJEWNPY6rh
Check out our Pandas Categorical Data Encoding Guide
- TLDR: 25x Memory Reduction on Panda Dataframes and Faster Performance
#pandas#python https://t.co/7XjJopU1Wh
See our new notebook "Categorical Encoding Dangers: Silent but Deadly!". It's an exciting and dangerous adventure about Pandas, Machine Learning and One Hot Encoding. #pandas#sklearn#explosions
https://t.co/RqqbOQVZBG
Categorical Data Encoding Guide Notebook
- TLDR: 25x Memory Reduction and Faster Performance on Panda Dataframe (thx Open Policing Project) #pandas#python@cephillips@Stanford https://t.co/7XjJopU1Wh