One of the nice things about sticking for long periods in the same job, is that you build trust and get picked for interviewing potential new employees. I’ve so far conducted more interviews to pick junior programmers than I care to count. I will never say no to conducting interviews because hiring an employee is … Continue reading “How to Not Panic in a Job Interview”
This article is part 4 of the “Data Science with Python” series. You can consider this a general introduction to common modules used in Python for doing data science. Note that such a list might not always stay relevant. New modules and frameworks keep coming and going. But I believe these modules have proven so … Continue reading “Basic Modules: Data Science with Python Part 4”
This is the continuation of the Python Basics tutorial. This is the second part of Python Basics, and the third part of the Data Science with Python series. This tutorial can also be consumed as a Jupyter notebook available here . Let’s continue then. Preparing Data for Analysis Remember the list of strings that we … Continue reading “Python Basics: Data Science with Python Part 3”
This tutorial is part of a series “Data Science with Python”. A set of tutorials aimed at helping beginners get started with data science and Python. Consider this article a super fast tutorial for Python. But I’m not taking the usual feature-by-feature tutorial route. This is a super fast introduction to Python. Because there’s an … Continue reading “Python Basics: Data Science with Python Part 2”
About a decade ago, I experienced – what I consider – an explosion of ‘certified professionals’ in the software development world. From programming languages to operating systems – and even software development practices like agile methodology – there was a certification available for everything. Some of these certificates made sense to me. For example Sun … Continue reading “Are Certifications Worth It?”
This tutorial is part of a series “Data Science with Python“. A set of tutorials aimed at helping beginners get started with data science and Python. Installing Python Installing Python could be as simple as just downloading the Python executable from the official website. But the more common way to get Python in the Data … Continue reading “Hello World: Data Science with Python Part 1”
Python has become one of the most important tools used in the data science world. This article is for new students of data science who are just getting started and would like to know their options when it comes to installing a Python environment to work on and learn data science. Note: This is not … Continue reading “Python options for Data Science”
Object oriented programming has been the de-facto programming methodology since they day I learnt that there is something called computer programming. Several of the most popular programming languages are primarily object oriented programming languages. The most commonly asked interview questions for programmers are about object oriented programming. Until, functional programming just blew up a few … Continue reading “Functional Programming Vs. Object Oriented Programming”
I think this post is more like a follow up to my previous post on whether to use SPAs or not. Confession: I started writing that article, and this one, because of a website that completely irritated me. It was a matrimony website. If you didn’t know, matrimony websites are like dating websites, but you … Continue reading “Please Stop Infinite Scrolling”
The latter half of the last decade can be considered an explosion of SPAs. With introduction of Angular 2, ReactJS, Vue and a ton of such frameworks, creating highly interactive web pages became very easy. So easy that competing technologies like Java applets and Flash are being pushed into extinction. Of course whenever a new … Continue reading “SPA or Not”
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