Learn Python - Tacoma

In this session, we will continue to look at Pandas in Python. The Pandas library is one of the most used data structures in writing python code at any level, and is extremely powerful in helping you master data manipulation. As always, we will be using Jupyter Notebooks and GitHub. We will spend the first 15-20 minutes of the session reviewing the previous meeting's topic, the next 40-45 minutes learning the new topic, and the last hour working exercises on our laptops. It is important that you bring your own laptop (PC or Mac, it doesn't matter). We also recommend that you purchase the books, "Learning Python 3 The Hard Way" and "Python Crash Course." They are not necessary, but they will add considerably to your learning experience.

In this session, we will begin our exploration of Data Visualization in Python with the Matplotlib library. Matplotlib is not the only data visualization library that we will explore together, but it is the first and one of the most common you will use. As always, we will be using Jupyter Notebooks and GitHub. We will spend the first 15-20 minutes of the session reviewing the previous meeting's topic, the next 40-45 minutes learning the new topic, and the last hour working exercises on our laptops. It is important that you bring your own laptop (PC or Mac, it doesn't matter). We also recommend that you purchase the books, "Learning Python 3 The Hard Way" and "Python Crash Course" for a general understanding of Python. They are not necessary, but they will add considerably to your learning experience.

This session comes only one week after our last session, but it puts us back on schedule for 2020 for every other Sunday. In this session, we will dive into our first data project in Python. We will learn the basics of EDA (Exploratory Data Analysis) and we will look at the Titanic Data Set for the first time. If you have not attended before, all of our working meet-up notebooks are available in our Github repository [https://github.com/learnpythontacoma]. We will be using Jupyter Notebooks and GitHub. We will spend the first 15-20 minutes of the session reviewing the previous meeting's topic, the next 40-45 minutes learning the new topic, and the last hour working exercises on our laptops. It is important that you bring your own laptop (PC or Mac, it doesn't matter). We also recommend that you purchase the books, "Learning Python 3 The Hard Way" and "Python Crash Course" for the basics of Python. They are not necessary, but they will add considerably to your learning experience. For this session, you will want to increase your library to include the volumes, "Python Data Science Essentials" (Boschetti, 2nd Ed.) and "Python for Data Analysis" (McKinney, 2nd Ed.).