Going over more advanced syntax for RegEx. The following article will explore these advanced techniques syntax and methods.
Regular expressions are a powerful way of building patterns to match text. However they can be difficult to learn at first and the syntax can look visually intimidating. This is directly quoted from Dataquest, “As a result, a lot of students end up disliking regular expressions and try to avoid using them, instead opting to write more cumbersome code.” It is this exact reason that I decided to focus this post on regular expressions. I will try to simplify the learning into a 10-20 minute read. I hope you enjoy.
I have been whizzing through the dataquest projects and have come to their second project. The second module focuses all on data visualization. Something I think is fairly easy, but I did learn a thing or two! For starters I realized the difference between calling the method on our object say a dataframe vs. on a series. Below I explain and demonstrate the differences:
I have reached the end of another module in Dataquest. As with FlatIron this means a project to demonstrate what you learned. This blogpost will go over the different code techniques and details surround this project. The project title is Exploring Hacker News.
This week I have started a new journey, that journey involves another learning platform. I have decided to go through DataQuest online data science self-pace lessons. I think this will bolster my knowledge greatly. Already within learning two different modules I am learning new techniques I did not previously know. The topic I will focus on in this post is the use of frequency charts.