Introduction

I have been a programmer for fourteen years now, with a good six of those having mainly revolved around Python one way or another. I have come to rely heavily on Python and religiously employ its goodness in every aspect of my work as a software developer. In that time, I have witnessed colleagues getting bottlenecked by Excel while I raced ahead with Pandas. I observed peers using lousy mouse recorders to imitate repetitive web scraping tasks while I dispatched Selenium to that end. …

Introduction

With the abundance and proliferation of data in this day and age, there is an inherent need to store and reuse that wealth of information in a meaningful way. It is analogous to having a kitchen inundated with a multitude of utensils and tools to use, without having an organized way to manage them. Well, chances are that you’re going to end up opening your canned lunch with the rear end of a dipper, unless you warehouse up real fast.

Data warehousing is the ability to cache, tokenize, analyze and reuse your curated data on demand in an unparalleled manner…

Introduction

Anyone who has ever been exposed to the data, knows that time series data is arguably the most abundant type of datum that we deal with on a routine basis. Data that is indexed with date, time and/or both is thereby classified as a timeseries dataset. Often, it may be helpful to render our timeseries as a monthly and hourly heatmap visualization. Such powerful visualizations are supremely helpful in being able to digest data that is otherwise presented in form that may not be ingested into our highly visual selves. These renderings, will usually depict hour horizontally, month vertically, and…

Introduction

Perhaps the most proliferated type of data that we grapple with on a daily basis is timeseries data. Basically, anything that is indexed using date, time or both can be considered as a timeseries dataset. And more often than not, you may require to filter your timeseries data with, well, date and time themselves. Filtering your data frame based on any other form of index is a rather trivial task; the same cannot be stated about datetime however, especially when the date and time are quoted in different columns. …

Introduction

For those of us who have heralded all the bells and whistles brought into existence by Streamlit, from its ease of use to its ability to create powerful visualizations, we’ve largely overlooked one really handy feature. Its ability to render dynamic dashboards that can be updated in real time. I gather that most users are using Streamlit to create static dashboards or at most are utilizing the multitude of widgets available to redact dataframes that are then fed back into their visualizations. But I haven’t really seen anyone using one of the greatest inherent capabilities of Streamlit - to create…

Streamlit

Streamlit has come a long way since its inception back in October of 2019. It has empowered the software development community and has effectively democratized the way we develop and deploy apps to the cloud. However as with all new tools, there is still some way to go, and while the Streamlit team works tirelessly on addressing requests for new features, we developers ourselves can create ad hoc work arounds in the meantime.

A feature that Streamlit currently lacks, is the ability to implement programmable state for its apps. In its current form, there is no internal state that can…

Can I take the plunge? Will my engineering background help me in making the cut? Can I jump on the data science bandwagon?

If you see yourself asking any of these questions, then you’ve probably arrived at an increasingly common junction in your STEM career. There are many of us who have been mesmerized by how impactful and ubiquitous data science has become in our lives and feel the urge of somehow adjusting our careers to it. Truth be told, I was one of those people several years ago. Having come from a engineering background myself with several years of…

In a post-COVID dystopia or utopia depending on which half of the cup of water you’re looking at, the relevance of an online medium through which a degree can be administered, completed and conferred cannot possibly be overstated. A once-in-a-century pandemic aside, there is a multitude of other reasons for which one could contemplate enrolling in an online program. Namely, being a working professional with limited time, being a parent with children to juggle or simply not having access to a world-class university at your doorstep. …