Ben Dilday

[Ben Dilday @BenDilday]

pybbda: a new package #Python #baseball data & analysis

data: lahman, baseball-reference WAR, fangraphs, retrosheet, statcast

analysis: marcel projections, RE with markov chains, batted ball trajectories

https://t.co/uXlDKZwXKu

[Ben Dilday @BenDilday]

@octonion Unforgiven

[Ben Dilday @BenDilday]

@AndrewPerpetua @tangotiger @BillPetti @jmzledoux I’m working on scala lol

[Ben Dilday @BenDilday]

@lambertchu94 Pybaseball isn’t being maintained anymore. pybbda is a more recent alternative https://t.co/uXlDKZwXKu

[Ben Dilday @BenDilday]

graphical standings 2020-08-04 #MLB #rstats #dataviz

[Ben Dilday @BenDilday]

ICYMI: pybbda, a new #Python package for #BaseBall data and analysis:

lahman, baseball-reference, fangraphs, #retrosheet, #statcast

run expectancies, batted-ball trajectories, projections

https://t.co/uXlDKZwXKu

[Ben Dilday @BenDilday]

fivethirtyeight riddler: hitting 0.400 & 56+ hitting streak in 60-game season, solved with Markov chains @xaqwg #ThisWeeksRiddler https://t.co/Nfba0jY5mG

[Ben Dilday @BenDilday]

ICYMI: a new #Python package for #BaseBall data and analysis - lahman, baseball reference, fangraphs, retrosheet, statcast, trajectory calculator, markov chains, projections
https://t.co/ySlbDiF8wI

[Ben Dilday @BenDilday]

pybbda: a new package #Python #baseball data & analysis

data: lahman, baseball-reference WAR, fangraphs, retrosheet, statcast

analysis: marcel projections, RE with markov chains, batted ball trajectories

https://t.co/uXlDKZwXKu

[Ben Dilday @BenDilday]

pybbda examples: #mlb #statcast data in #python https://t.co/amfVafZ8XA

[Ben Dilday @BenDilday]

@mattdennewitz Thanks!

[Ben Dilday @BenDilday]

a cool thing about pybbda is you can read #retrosheet event files directly into a data frame. this is because it compiles #chadwickbureau c-code into a shared library with a #python interface using ctypes, example,

[Ben Dilday @BenDilday]

ICYMI pybbda a new #Python package for baseball data and analysis
https://t.co/ySlbDiF8wI

[Ben Dilday @BenDilday]

pybbda: a new package #Python #baseball data & analysis

data: lahman, baseball-reference WAR, fangraphs, retrosheet, statcast

analysis: marcel projections, RE with markov chains, batted ball trajectories

https://t.co/uXlDKZwXKu

[Ben Dilday @BenDilday]

@JPosnanski @meganamram He would have thrived in any era

[Ben Dilday @BenDilday]

@tangotiger Do you have a specific example in mind? I think the standard libs are really well documented https://t.co/0xIL6fTxi2 but the packages are a mish mash, in large part because there’s no gatekeeper for publishing like there is CRAN for R

[Ben Dilday @BenDilday]

@EliBenPorat @tangotiger I agree Rust is great but it’s not suited for machine learning. Scala has all the same functional programming paradigms which is the biggest strength of rust imho. The memory safety stuff is great too but overkill for data exploration work, I’ve found

[Ben Dilday @BenDilday]

@EliBenPorat @tangotiger Scala

[Ben Dilday @BenDilday]

The list of players with similar first-9 years to Albert Pujols - Ott,T. Williams, DiMaggio. Also Vlad and... Bob Johnson?! https://t.co/VytAfh9TNT

[Ben Dilday @BenDilday]

@harrypav 🤣

[Ben Dilday @BenDilday]

grcdr: A collection of #ggplot2 extensions and scripts for graphics in R #rstats #dataviz https://t.co/HiShktJPjy

[Ben Dilday @BenDilday]

ICYMI the package mentioned here to draw MLB stadiums in #rstats #ggplot2 is GeomMLBStadiums, on github https://t.co/ukC0C6EqXx

[Robert Frey @RobertFrey40]

If Alex Verdugo does go to the Red Sox, it appears that he may be hitting more opposite field home runs, per the chart below. Good value if the Red Sox do acquire him.