ZERO TO DATA
@z2d-dev.bsky.social
👨💻 I’m Max — Data Scientist & Pythonista (10+ yrs coding, 6+ yrs pro).
Sharing 🐍 Python best practices, 📊 data science, ⚡tips & 🛠️ workflows (IDE, CI/CD, debugging).
🎯 Level up in data dev! 🚀
📺 YouTube: youtube.com/@z2d_io
Sharing 🐍 Python best practices, 📊 data science, ⚡tips & 🛠️ workflows (IDE, CI/CD, debugging).
🎯 Level up in data dev! 🚀
📺 YouTube: youtube.com/@z2d_io
➕ Module 4 – Data Manipulations with Expressions in Polars
Learn how to create & modify columns the Polars way using df.with_columns([...]).
▶️ Watch: www.youtube.com/watch?v=4jQO...
#Polars #Python #DataScience
Learn how to create & modify columns the Polars way using df.with_columns([...]).
▶️ Watch: www.youtube.com/watch?v=4jQO...
#Polars #Python #DataScience
November 8, 2025 at 4:04 PM
➕ Module 4 – Data Manipulations with Expressions in Polars
Learn how to create & modify columns the Polars way using df.with_columns([...]).
▶️ Watch: www.youtube.com/watch?v=4jQO...
#Polars #Python #DataScience
Learn how to create & modify columns the Polars way using df.with_columns([...]).
▶️ Watch: www.youtube.com/watch?v=4jQO...
#Polars #Python #DataScience
🎯 Module 3 – Selecting & Filtering Data
... the Polars way:
🧩 pl.col() – expressive columns
🧮 .select() – choose/transform columns
🔍 .filter() – keep matching rows
Chaining:
df.filter(pl.col("city")=="Austin").select("drink","price")
▶️ Watch: youtu.be/gemLXW-hkJM
#Polars #Python #DataScience
... the Polars way:
🧩 pl.col() – expressive columns
🧮 .select() – choose/transform columns
🔍 .filter() – keep matching rows
Chaining:
df.filter(pl.col("city")=="Austin").select("drink","price")
▶️ Watch: youtu.be/gemLXW-hkJM
#Polars #Python #DataScience
October 27, 2025 at 3:30 PM
🎯 Module 3 – Selecting & Filtering Data
... the Polars way:
🧩 pl.col() – expressive columns
🧮 .select() – choose/transform columns
🔍 .filter() – keep matching rows
Chaining:
df.filter(pl.col("city")=="Austin").select("drink","price")
▶️ Watch: youtu.be/gemLXW-hkJM
#Polars #Python #DataScience
... the Polars way:
🧩 pl.col() – expressive columns
🧮 .select() – choose/transform columns
🔍 .filter() – keep matching rows
Chaining:
df.filter(pl.col("city")=="Austin").select("drink","price")
▶️ Watch: youtu.be/gemLXW-hkJM
#Polars #Python #DataScience