Hello Everyone!

In this blog post, you’ll create a simple webapp using Flask and describe how you did it. The skills you’ll need are:

Rampant misinformation—often called “fake news”—is one of the defining features of contemporary democratic life. In this Blog Post, you will develop and assess a fake news classifier using Tensorflow.

In this blog post, you will learn several new skills and concepts related to image classification in Tensorflow.

What’s your favorite movie or TV show? Wouldn’t it be nice to find more shows that you might like to watch, based on ones you know you like? Tools that address questions like this are often called “recommender systems.” Powerful, scalable recommender systems are behind many modern entertainment and streaming services, such as Netflix and Spotify. While most recommender systems these days involve machine learning, there are also ways to make recommendations that don’t require such complex tools.

Objective

In this post, we create some interactive data graphics using the NOAA climate data that we’ve explored in the first several weeks of lectures.

Code

```py import pandas as pd import matplotlib.pyplot as plt import sqlite3

I’m an awesome PIC16B student and I am running Jekyll!
I am also learning about markdown!
I can do lists!

1. one
2. two
3. three

In this blog post, you’ll create several interesting, interactive data graphics using the NOAA climate data that we’ve explored in the first several weeks of lectures.

Fortunately, it’s pretty easy to embed interactive HTML figures produced via Plotly on your blog. Just use plotly.io.write_html() to save your figure. Then, copy the resulting HTML file to the _includes directory of your blog. Finally, place the code

In this blog post assignment, you’ll create a short post for your new website. The primary purpose is to give you some practice working with Jekyll blogging with Python code.

In this post, I’ll show how to create a helpful histogram of some synthetic data.

In this post, we’ll see some examples of how to create technical posts that include Python code, explanatory text, and notes about your learnings. We’ll go over the primary methods that you’ll use to embed content in your posts.

In this post, we’ll get set up with Jekyll. Jekyll is a static site converter, which you can use to turn plaintext documents into attractive webpages.

The purpose of this exercise is to get you set up with the software tools we’ll use in PIC16B, including Anaconda, git + GitHub, and Jekyll.