NYCDSA Webinar | Readability Counts: Best Practices in Coding

About This Event
After building a project, it is easy to forget what your first thoughts were when beginning development. Writing effective code means considering your future self and others. How can someone expand on your ideas if they cannot speak your language? In this webinar, we will discuss popular Python coding conventions and learn how to incorporate them with data into your work to increase your code’s readability. As programmers, we try to write elegant code. This is for the benefit of those who may read and use our code in the future, including ourselves. As the PEP8 guide states, one of the key insights from Guido van Rossum, the creator of Python, is that “code is read much more often than it is written.” Readability is one of the essential qualities of beautiful code.



About Event Speaker:
Vivian is the CTO and School Director of NYC Data Science and CTO of SupStat. With her extensive experience working in the data science field, she developed expertise in multiple programming languages, including R, Python, Hadoop, and Spark. In August 2016, Forbes ranked her amongst one of the nine women leading the pack in the data analytics field, In 2013, she founded the NYC Open Data Meetup group, which stands as one of the largest data science communities offering meetups, conferences, and a weekly newsletter. In her spare time, Vivian enjoys meeting people and sharing her motivational stories with our students and other professionals.


About NYC Data Science Academy
NYC Data Science Academy provides data science training programs and courses that prepare people for employment opportunities for data science professionals across all industries.

NYCDSA teaches data science, trains companies and employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry. We have graduated over 5000 students at this point!

Join our Interactive Distance / In-Person Learning Bootcamp and prepare for the next step in your data science career!