Mar 03 2020 27 mins 19
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
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
