Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Introducing pandas_profiling (lightning talk)

ianozsvald
April 04, 2018
Technology
1
290

Introducing pandas_profiling (lightning talk)

5 minute introduction to EDA with pandas_profiling: https://github.com/pandas-profiling/pandas-profiling

ianozsvald

April 04, 2018
Tweet

More Decks by ianozsvald

See All by ianozsvald
Valuable Lessons Learned on Kaggle’s ARC AGI LLM challenge
ianozsvald
0
110
ARC AGI Kaggle with llama3 - First Steps
ianozsvald
0
120
Failing to reason with LLMs (ARC AGI kaggle update with Llama3)
ianozsvald
0
64
Llama.cpp for fun (and maybe profit) - 30 minute
ianozsvald
0
140
Llama.cpp for fun (and maybe profit) - 30 minute
ianozsvald
0
66
Llama.cpp for fun (and maybe profit)
ianozsvald
0
57
CuDF – Maybe faster Pandas on the GPU via RAPIDS (NVIDIA)
ianozsvald
0
99
Running llama.cpp on the CPU
ianozsvald
0
400
Pandas 2 vs Polars vs Dask (PyDataGlobal 2023 December)
ianozsvald
0
960

Other Decks in Technology

See All in Technology
ドメイン名の終活について - JPAAWG 7th -
mikit
33
20k
OCI 運用監視サービス 概要
oracle4engineer
PRO
0
4.8k
Application Development WG Intro at AppDeveloperCon
salaboy
0
180
テストコード品質を高めるためにMutation Testingライブラリ・Strykerを実戦導入してみた話
ysknsid25
7
2.6k
Terraform未経験の御様に対してどの ように導⼊を進めていったか
tkikuchi
2
430
Amazon Personalizeの レコメンドシステム構築、実際何するの？ 〜大体10分で具体的なイメージをつかむ〜
kniino
1
100
社内で最大の技術的負債のリファクタリングに取り組んだお話し
kidooonn
1
550
初心者向けAWS Securityの勉強会mini Security-JAWSを9ヶ月ぐらい実施してきての近況
cmusudakeisuke
0
120
スクラムチームを立ち上げる〜チーム開発で得られたもの・得られなかったもの〜
ohnoeight
2
350
Amplify Gen2 Deep Dive / バックエンドの型をいかにしてフロントエンドへ伝えるか #TSKaigi #TSKaigiKansai #AWSAmplifyJP
tacck
PRO
0
370
IBC 2024 動画技術関連レポート / IBC 2024 Report
cyberagentdevelopers
PRO
0
110
適材適所の技術選定 〜GraphQL・REST API・tRPC〜 / Optimal Technology Selection
kakehashi
1
150

Featured

See All Featured
Ruby is Unlike a Banana
tanoku
97
11k
The Straight Up "How To Draw Better" Workshop
denniskardys
232
140k
YesSQL, Process and Tooling at Scale
rocio
169
14k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
131
33k
How STYLIGHT went responsive
nonsquared
95
5.2k
Happy Clients
brianwarren
98
6.7k
Teambox: Starting and Learning
jrom
133
8.8k
The MySQL Ecosystem @ GitHub 2015
samlambert
250
12k
Fantastic passwords and where to find them - at NoRuKo
philnash
50
2.9k
4 Signs Your Business is Dying
shpigford
180
21k
Rails Girls Zürich Keynote
gr2m
94
13k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
6
410

Transcript

  1. pandas_profiling lighting talk PyDataLondon 2018-04 Ian Ozsvald @IanOzsvald ModelInsight.io

  2. [email protected] @IanOzsvald[.com] PyDataLondon 2018-04 Why not df.describe() & df.info()?

  3. [email protected] @IanOzsvald[.com] PyDataLondon 2018-04 pandas_profiling

  4. [email protected] @IanOzsvald[.com] PyDataLondon 2018-04 pandas_profiling

  5. [email protected] @IanOzsvald[.com] PyDataLondon 2018-04 pandas_profiling Pclass vs Fare and Age

    (negative relationship) is_female vs Survived (positive relationship)

  6. [email protected] @IanOzsvald[.com] PyDataLondon 2018-04 Wrap-up • Several PRs needing a

    review – get involved? • Additions for categoricals and correlations • Author is fairly responsive, it looks like a nice first project to get involved with