#pandas python

[codewithnazam]

What is Pandas in Python?

Introduction What is Pandas? What does the name “Pandas” stand for? Why use Pandas? Getting Started with Pandas Installing Pandas Creating your first DataFrame Exploring and manipulating data in DataFrames Key Features of Pandas Data Structures Data Manipulation and Analysis Visualization Conclusion Summary of key benefits Why Pandas is essential for Python data science FAQs What is…

[k9effect]

@ everyone who liked these sticker designs of my very round boys

Please know that they came out VERY well!!!

[badpanduhmemes]

I was going to post this when the second half of this was closer to being completed, but I've been busy elsewhere, and haven't had time, and I wanted to share this.

[confused-canid]

Self indulgent (Panda pied) ball python therian moodboard!

[mutter-official]

python baby PLEEEEAAAAASEEEEE add generics. it would make my typehinting life SOOOOOO much easier

[thekinschoolhouse]

Panda Pied Ball Python pfps

Requested by @confused-therian, with a cozy theme

[mostlythemarsh]

I've been thinking about climate data again. We have records here going back over 100 years. I thought I'd see how this past year compared to the previous 100. Interesting to see the different grouping intervals.

[sisiroos]

My almost 4 year old girl Kehlani with my Panda light. She squishes her own head 🤣🐍🥰 #ballpython

[fraoula1]

Python for Data Science: From Beginner to Expert – A Complete Guide!

Python has become the go-to language for data science, thanks to its flexibility, powerful libraries, and strong community support. In this video, we’ll explore why Python is the best choice for data scientists and how you can master it—from setting up your environment to advanced machine learning techniques.

🔹 What You'll Learn:

✅ Why Python is essential for data science

✅ Setting up Python and key libraries (NumPy, Pandas, Matplotlib) ✅ Data wrangling, visualization, and transformation

✅ Building machine learning models with Scikit-learn

✅ Best practices to enhance your data science workflow 🚀 Whether you're a beginner or looking to refine your skills, this guide will help you level up in data science with Python. 📌 Don’t forget to like, subscribe, and hit the notification bell for more data science and Python content!

[ratchet9cooper]

The National film registry is announcing this years additions in the next couple days, so i wanted to share what my 50 votes were this year.

300 (Zach Snyder, 2007)

AFL-NFL World Championship Game-with ads (1963)

Akira (Katsuhiro Ôtomo, 1988)

Aladdin (Ron Clements and John Musker 1992)

Batman (Tim Burton, 1989)

Bill & Ted’s Excellent Adventure (Stephen Herek, 1989)

The Birdcage (Mike Nichols,1996)

Captain America: The First Avenger (Joe Johnston, 2011)

A Charlie Brown Christmas (Bill Melendez, 1965)

A Christmas Carol (Edwin L. Marin, 1938)

Couples Retreat (Peter Billingsley, 2009)

The Evil Dead (Sam Raimi, 1981)

A Few Good Men (Rob Reiner, 1992)

Fiddler on the Roof (Norman Jewison, 1971)

Finding Nemo (Andrew Stanton and Lee Unkrich. 2003)

The Fugitive (Andrew Davis, 1993)

Godzilla (Ishirô Honda, 1954)

The Good the Bad and the Ugly (Sergio Leone, 1967)

The Great Escape (John Sturges, 1963)

The Green Mile (Frank Darabont, 1999)

Happy Gilmore (Dennis Dugan, 1996)

Harry Potter and the Sorcerer’s Stone (Chris Columbus, 2001)

Harvey (Henry Koster, 1950)

How to Train your Dragon (Dean DeBlois and Chris Sanders, 2010)

The Hunting trilogy-Looney Tunes (Rabbit Fire, Rabbit Seasoning, Duck! Rabbit, Duck!)

The Incredibles (Brad Bird, 2004)

John Wick (Chad Stahelski, 2014)

Kung Fu Panda (Mark Osborne and John Stevenson, 2008)

Lethal Weapon (Richard Donner, 1987)

The Lord of the Rings: The Two Towers (Peter Jackson, 2002)

The Many Adventures of Winnie the Pooh (John Lounsbery, Wolfgang Reitherman, and Ben Sharpsteen, 1977)

Monty Python and the Holy Grail (Terry Gilliam and Terry Jones,1975)

Metropolis (Fritz Lang, 1927)

My Big Fat Greek Wedding (Joel Zwick, 2002)

My Cousin Vinny (Jonathan Lynn, 1992)

Mulan (Tony Bancroft and Barry Cook, 1998)

The Nativity Story (Catherine Hardwicke, 2006)

The Parent Trap (David Swift, 1961)

The Passion of the Christ (Mel Gibson, 2004)

Phantasm (Don Cascorelli, 1979)

The Pirates of the Caribbean: Curse of the Black Pearl (Gore Verbinski, 2003)

RED (Robert Schwentke, 2010)

Spider-Man (Sam Raimi, 2002)

Talladega Nights: The Ballad of Ricky Bobby (Adam McKay, 2006)

The Truman Show (Peter Weir, 1998)

Unbreakable (M. Night Shyamalan, 2000)

The Usual Suspects (Bryan SInger, 1995)

War games (John Badham, 1983)

While You Were Sleeping (Jon Turteltaub, 1995)

You Can’t Take it With You (Frank Capra, 1938)

[k9effect]

Drawing some Very Round Animals for some future sticker designs :)

[kookiesdayum]

I want to learn AWS from scratch, but I'm not familiar with it and unsure where to start. Can anyone recommend good resources for beginners? Looking for structured courses, tutorials, or hands-on labs that can help me build a strong foundation.

If you know any resources then plz let me know.

Thanks 🍬

[fortunatelycoldengineer]

Pandas . . . . for more information and tutorial https://bit.ly/3jqTlRP check the above link

[virtualmentalitydeer]

Movies I watched during Spring Break

Kung Fu Panda 4 (03/30) Shrek (03/31) Unstoppable (04/01) Beethoven's 5th (04/02) Monty Python and the Holy Grail (04/03) Paul Blart: Mall Cop (04/04) Spy Kids 2: The Island of Lost Dreams (04/05) Monsters VS Aliens (04/06) Click (04/07) Aliens in the Attic (04/08)

[mostlythemarsh]

I was wondering about shutter speed and aperture combinations for my 4 lenses.

[pythonbaires]

Aprende a analizar datos con python!

En este curso aprenderás cómo analizar datos en Python usando matrices multidimensionales en numpy, a manipular DataFrames en pandas, a usar la biblioteca SciPy de rutinas matemáticas y a realizar aprendizaje automático usando scikit-learn. Comienza ya mismo! Pasarás de comprender los conceptos básicos de Python a explorar muchos tipos diferentes de datos a través de clases, laboratorios…