Pandas (software)

What Is Quantum Computing | Quantum Computing Explained | Quantum Computer | #Shorts | Simplilearn

🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=QuantumComputingShorts&utm_medium=ShortsDescription&utm_source=youtube Quantum computing is a branch of computing that focuses on developing computer tech

From playlist #Shorts | #Simplilearn

LINE Tool

GeoGebra Calculator Suite: https://www.geogebra.org/calculator

From playlist GeoGebra Tools

Dot Product Insight

Link: https://www.geogebra.org/m/N9pvSPf4

From playlist PreCalculus: Dynamic Interactives!

SELECT OBJECTS Tool

GeoGebra Calculator Suite: https://www.geogebra.org/calculator

From playlist GeoGebra Tools

GeoGebra 3D Calculator: When to Use?

GeoGebra 3D Calculator is one of the five apps in Calculator Suite. https://www.geogebra.org/calculator

From playlist GeoGebra Apps Intro: Which to USE?

Pyramid Modeling (with a Few Hearts!) in GeoGebra Augmented Reality

From playlist GeoGebra Augmented Reality Demos (Older iOS App)

Getting Students to Model in 3D (here within GeoGebra Augmented Reality)

GeoGebra Resource Link:

From playlist GeoGebra Augmented Reality Demos (Older iOS App)

GeoGebra Augmented Reality: Building Cookie Models!

From playlist GeoGebra Augmented Reality Demos (Older iOS App)

Adding Logarithms: Dynamic Graphical Illustrator

Adding Logarithms: Dynamic, modifiable, & graphical illustrator. Made with #GeoGebra: geogebra.org/m/GpFkTrvJ. #MTBoS #ITeachMath #algebra #precalculus #PreCalc #EdTech #MathEd #MathEdTech #HSMathChat #HSMath #CollegeMath

From playlist PreCalculus: Dynamic Interactives!

SDS 557: Effective Pandas — with Matt Harrison

#Pandas #PythonPandas #DataScience Pandas expert Matt Harrison sits down with Jon Krohn to discuss tips, tricks and best practices for effective Pandas learning and mastery. This episode is brought to you by Monte Carlo, the data observability leaders, and by the new course from Data Sci

From playlist Super Data Science Podcast

Data science without borders - Wes McKinney (Two Sigma Investments)

Wes McKinney makes the case for a shared infrastructure for data science, discusses the open source community's efforts on Apache Arrow, and offers a vision for seamless computation and data sharing across languages. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly

From playlist JupyterCon

SDS 523: Open-Source Analytical Computing (pandas, Apache Arrow) — with Wes McKinney

Wes McKinney joins us to discuss the history and philosophy of pandas and Apache Arrow as well as his continued work in open source tools. In this episode you will learn: • History of pandas [5:18] • The trends of R and Python [21:20] • Python for Data Analysis [23:43] • pandas updates an

From playlist Super Data Science Podcast

RubyConf 2016 - Ruby, Red Pandas, and You by Sean Marcia

RubyConf 2016 - Ruby, Red Pandas, and You by Sean Marcia Red pandas are adorable, playful, curious, and super cute. Unfortunately, they are in serious trouble. Over 50% of red panda newborns born in captivity do not survive long enough to leave their den and no one knows why. Come find ou

From playlist RubyConf 2016

Deploying machine learning applications in the Enterprise - Peter Norvig, at USI

Information and subscription on http://www.usievents.com Director of Research at Google Inc., Peter Norvig is a reference in terms of Machine Learning. He’s always looking at the world to re-build it, playing with programs and applications that nowadays have a dominant role in our world.

From playlist AI talks

Jordan Hagan: Optimizing SQL + Python Pipelines for Data Science

Poorly written SQL and Python can make data extraction and manipulation tedious and painful. Streamlined processes utilizing SQL best practices will save hours of frustration. My goal is to teach attendees proven SQL methodologies and what python tools to use when.

From playlist PyColorado 2019

Install Anaconda and open JupyterLab - a universal platform for Data Science

Set up your virtual environment in Python /R, load your python packages and start up a Jupyter notebook /JupyterLab. Python coding for AI, ML, DL, artificial general intelligence, artificial decision intelligence. Download anaconda installers for Win10, start up an environment with speci

From playlist The new DATA paradigm - LakeHouse & DELTA LAKE /PySpark /DeltaSpark

Designing for interaction- Scott Sanderson (Quantopian)

One of the defining features of Python is its flexibility: it can be used interactively, and it can also be used as the principal development language for large standalone applications. While this flexibility is a major reason for Python’s popularity, it also presents a unique challenge fo

From playlist JupyterCon in New York 2018

Top Software Development Interview Questions and Answers For 2022 | Simplilearn

In this video "Top Software Development Interview Questions And Answers For 2022" We are going to see the top questions asked in the an interview of software developer, and complete interview process. Top software development interview questions and answers major focuses on interview quest

From playlist Interview Questions And Answers | Simplilearn🔥[2022 Updated]

ATMNE18 Conference Hotel Chandelier: Quick Construction in GeoGebra Augmented Reality

From playlist GeoGebra Augmented Reality Demos (Older iOS App)

Wes McKinney interviewed at O'Reilly JupyterCon

Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/

From playlist JupyterCon