EP026 Data Analysis with pandas

All Episodes

March 3, 2020 • 27 mins

In episode 26, we interviewed Bhavani Ravi about the Python data analysis library pandas. After a brief introduction about her use of machine leaning models for pharmaceutical research, we talked extensively about pandas. She told us how much pandas is important for her everyday tasks and the strict quality standards of the project. We talked about the features provided by pandas and its compatibility with other Python libraries. We then discussed the importance of FLOSS in her industry and how they are contributing back to important projects. She share with us her experience as a first time contributor to pandas and how to find good first time issues for newcomers. We finished the interview with out usual quick questions. 00:00:17 Introduction 00:00:26 Introducing Bhavani Ravi 00:00:49 Using machine learning models for pharmaceutical research 00:02:46 How she got involed in the pandas project 00:04:29 Her elevator pitch for pandas 00:04:43 How she use pandas in her everyday job 00:05:24 What does pandas bring that is lacking in basic Python 00:06:53 Preparing data for machine learning algorithms 00:08:12 The performance of pandas 00:09:21 Data formats supported by pandas 00:11:03 Data structures provided by pandas 00:11:42 Data analysis tools provided by pandas 00:12:32 Using pandas data structures with scikit-learn 00:12:55 Plotting data from pandas 00:13:39 Transition to Python version 2 00:14:51 Commercial usage of pandas 00:15:16 Companies contributing back to pandas 00:16:02 Exposition of students to pandas 00:16:42 Tutorials to start with pandas 00:18:26 Python libraries dependencies of pandas 00:18:55 Main communication channels 00:19:44 Her experience contributing to pandas 00:21:14 Skills to contribute to the project 00:21:49 List of good first issues 00:22:21 Tasks for non-programmers 00:23:12 FLOSS and the industry 00:24:16 The most notable scientific discovery in recent years 00:24:33 Her favourite text processing tool 00:25:06 Anything else? 00:25:38 How to contact Bhavani 00:25:57 Outro

Mark as Played

Advertise With Us

Popular Podcasts

Las Culturistas with Matt Rogers and Bowen Yang

Ding dong! Join your culture consultants, Matt Rogers and Bowen Yang, on an unforgettable journey into the beating heart of CULTURE. Alongside sizzling special guests, they GET INTO the hottest pop-culture moments of the day and the formative cultural experiences that turned them into Culturistas. Produced by the Big Money Players Network and iHeartRadio.

Crime Junkie

Does hearing about a true crime case always leave you scouring the internet for the truth behind the story? Dive into your next mystery with Crime Junkie. Every Monday, join your host Ashley Flowers as she unravels all the details of infamous and underreported true crime cases with her best friend Brit Prawat. From cold cases to missing persons and heroes in our community who seek justice, Crime Junkie is your destination for theories and stories you won’t hear anywhere else. Whether you're a seasoned true crime enthusiast or new to the genre, you'll find yourself on the edge of your seat awaiting a new episode every Monday. If you can never get enough true crime... Congratulations, you’ve found your people. Follow to join a community of Crime Junkies! Crime Junkie is presented by Audiochuck Media Company.

The Brothers Ortiz

The Brothers Ortiz is the story of two brothers–both successful, but in very different ways. Gabe Ortiz becomes a third-highest ranking officer in all of Texas while his younger brother Larry climbs the ranks in Puro Tango Blast, a notorious Texas Prison gang. Gabe doesn’t know all the details of his brother’s nefarious dealings, and he’s made a point not to ask, to protect their relationship. But when Larry is murdered during a home invasion in a rented beach house, Gabe has no choice but to look into what happened that night. To solve Larry’s murder, Gabe, and the whole Ortiz family, must ask each other tough questions.

.css-15opob5{left:0;position:absolute;top:0.8rem;} All Episodes

.css-14f5ked{margin:0;word-break:break-word;display:-webkit-box;-webkit-box-orient:vertical;box-orient:vertical;-webkit-line-clamp:2;overflow:hidden;}EP026 Data Analysis with pandas