Efficiency has become a key ingredient for the timely completion of work. One is not expected to spend more than a reasonable amount of time to get things done. Especially when the task involves basic coding. One such area where data scientists are expected to be the fastest is when using the Pandas library in Python.
Pandas is an open-source package. It helps to perform data analysis and data manipulation in Python language. Additionally, it provides us with fast and flexible data structures that make it easy to work with Relational and structured data.
If you’re new to Pandas then go ahead and enroll in this free course. It will guide you through all the in’s and out’s of this wonderful Python library. And set you up for your data analysis journey. This is the sixth part of my Data Science hacks, tips, and tricks series. I highly recommend going through the …