Charles Kelly explains how to use TeX for typesetting mathematics within Jupyter notebooks.
- [Instructor] Displaying mathematics is difficult.…Jupyter uses TeX to make it easier.…Don Knuth is one of the most accomplished…computer scientists of all time.…He is the author of the multi-volume…The Art of Computer Programming.…He created TeX.…The examples in this video come from the…Motivating Examples page.…You can open it by navigating to that link.…Here you'll see the information…that we'll display in the video.…This cell provides an example of the Lorenz Equations.…
These are a set of ordinary differential equations.…This system is notable for having chaotic solutions…for certain parameter values and initial conditions.…In particular, the Lorenz Attractor…is a set of chaotic solutions of Lorenz systems…which, when plotted, resemble a butterfly…or a figure eight.…Place your cursor into the cell.…Note again that this is a raw nbconvert cell.…Press Escape + M to convert it to a markdown cell…then Shift + Enter.…
This displays the typeset result…of our markdown code.…The Cauchy-Schwarz Inequality is considered to be…
Watch this course to gain an overview of Pandas. Charles Kelly helps you get started with time series, data frames, panels, plotting, and visualization. All you need is a copy of the free and interactive Jupyter Notebook app to practice and follow along.
- Using the Markdown language and Jupyter Notebook
- Creating objects
- Selecting objects
- Using operations
- Merging data
- Creating series
- Creating data frames
- Creating panels
- Annotating plots and data frame plots
Skill Level Intermediate
Introduction to Data Analysis with Pythonwith Michele Vallisneri2h 16m Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
SQL for Data Reporting and Analysiswith Emma Saunders2h 16m Intermediate
1. Introduction to Notebooks
2. Pandas Overview
4. Data Frames and Panels
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