IPython

006 Installing IPython in Linux

Here we take a quick look at installing the iPython notebook on Linux using the command line in the Terminal.

From playlist Introduction to Pyhton for mathematical programming

Pythagorean Transformation

From playlist Miscellaneous

Update_Jupyter_notebooks

Project Jupyter provides notebooks not only for IPython, but also for many other computer languages as well. A name change was thus required from IPython notebooks to Jupyter notebooks. In this lesson I show you the new website where you can download and install IPython and also how to l

From playlist Learning medical statistics with python and Jupyter notebooks

JupyterLab Opening Files

Meeting of the Jupyter/IPython development team.

From playlist JupyterLab Documentation

Jupyter/IPython Dev Meeting, January 17, 2017

Meeting of the IPython/Jupyter development team, January 17, 2017 Meeting Notes: https://etherpad.wikimedia.org/p/Jupyter-Weekly-Team-Meetings-2017-01-Jan

From playlist Jupyter / IPython dev meetings

The Pythagorean Theorem

This one is famous! And super ancient. We aren't sure if old Pythag was the first to come up with it, but if not, he arrived at it independently of anyone prior, and his name is associated with it. It's quite nifty when you really think about it. Take a look! Watch the whole Mathematics p

From playlist Geometry

7 Rotation of reference frames

Ever wondered how to derive the rotation matrix for rotating reference frames? In this lecture I show you how to calculate new vector coordinates when rotating a reference frame (Cartesian coordinate system). In addition I look at how easy it is to do using the IPython notebook and SymPy

From playlist Life Science Math: Vectors

Pythagorean Trig Identity: Illustrated via Areas

From playlist Trigonometry TikToks

The BuShou of HanZi :田

A brief description of the BuShou of 田.

From playlist The BuShou of HanZi

Setting up Python for machine learning: scikit-learn and Jupyter Notebook

Want to get started with machine learning in Python? I'll discuss the pros and cons of the scikit-learn library, show how to install my preferred Python distribution, and demonstrate the basic functionality of the Jupyter Notebook. If you don't yet know any Python, I'll also provide four r

From playlist Machine learning in Python with scikit-learn

The Emacs Ipython Notebook- John Miller (Honeywell UOP)

John Miller offers an overview of the Emacs IPython Notebook (EIN), a full-featured client for the Jupyter Notebook in Emacs, and shares a brief history of its development. John covers the features of EIN that make it uniquely Emacs—starting and automatically logging into a Jupyter server

From playlist JupyterCon in New York 2018

Jupyter: Kernels, Protocols, and the IPython Reference Implementation

Matthias Bussonnier (UC Berkeley BIDS), Paul Ivanov (Bloomberg LP) Matthias Bussonnier and Paul Ivanov walk you through the current Jupyter architecture and protocol and explain how kernels work (decoupled from but in communication with the environment for input and output, such as a note

From playlist JupyterCon

Summer App Space: Lecture 1 - Dr. C. Corbett Moran – 6/26/17

Introducing course objectives, software engineering, python interpreter, IPython console, bash console, Jupyter notebooks, objects, float, int, bool, string, None, type function, asking good questions, variables and assignment, operators, control flow, if statements, indentation, while loo

From playlist Summer App Space - 2017

IPython/Jupyter Dev Meeting, April 5, 2016

Meeting of the IPython/Jupyter development team.

From playlist Jupyter / IPython dev meetings

O'Reilly Webcast: Data Science Experiments with Twitter and IPython Notebook

Want to learn the basic skills to stop talking about data science and start doing data science? After attending this mini-workshop, you'll be able to run your own data science experiments with Twitter's API and IPython Notebook! Besides learning the fundamentals of how to use IPython Noteb

From playlist O'Reilly Webcasts 3

OSB 2015 - Introduction to data munging with pandas and IPython Notebook - Melissa Lewis

This talk will go over importing, exploring, and exporting your data, and common issues you may encounter.

From playlist Open Source Bridge 2015

Jupyter Frontends: From the Classic Jupyter Notebook to JupyterLab, nteract, and Beyond

Kyle Kelley (Netflix), Brian Granger (Cal Poly San Luis Obispo) offer a broad look at Jupyter frontends, describing their common aspects and explaining how their differences help Jupyter reach a broader set of users. They also share ongoing challenges in building these frontends (real-time

From playlist JupyterCon

Jupyter/IPython Dev Meeting, March 14, 2017

Meeting of the Jupyter/IPython development team, March 14, 2017 Meeting Notes: https://paper.dropbox.com/doc/March-2017-Jupyter-Weekly-Meetings-rLiXjbl77MPLNNpNB1hdu

From playlist Jupyter / IPython dev meetings

The BuShou of HanZi :手

A brief description of the BuShou of 手.

From playlist The BuShou of HanZi

Python pandas — Intro & Installation -- Learning by Doing

Sometimes we learn best by doing. Unlike my other videos, I’ll be going through these exercises cold. Sometimes we’ll encounter ambiguous questions, and sometimes I'll be wrong. Learning from our mistakes can be a powerful teacher. So, it’s OK to be wrong now, because we’ll know how to

From playlist Python pandas -- Learning by doing