Let’s be honest, when was the last time you were excited to purchase insurance? Or the last time you discussed openly with friends about your most recent coverage?
If you’re drawing a blank, I’m not surprised. Most people hate the idea of shopping for insurance. But this state of affairs may change very soon.
Data analytics, AI and machine learning are driving the emergence of insurtech.
And insurance being an antiquated industry is precisely why insurtech companies are worth your attention. The top players in the field are spurring big changes in an industry ripe for innovation.
When you’re looking to build something, you want to be sure that you have the right tools. In many cases, the choice of tools will decide your entire experience.
Choose the wrong tools, and you’ll pay the price down the line. Your work may be slower, your competition may outpace you, or your end result may fall below expectations.
When you choose the right tool, you’ll be thankful for it every step of the way.
If what you’re building is a software project for your company, you would do well to consider Python as your tool.
Every once in a while, I have the pleasure of hosting an article on this blog that truly rocks my world. This is one of them.
Any new domain can be daunting at first, no matter the opportunities it offers. Machine learning is no exception.
Which is why nothing is more valuable than having a ready-to-go template to making your first steps in a new and exciting field.
Two of our Expert Python Developers, Radosław Jankiewicz and Tomasz Maćkowiak, have prepared everything you need to get started.
When you’re thinking about hosting your app, you want it to be as hassle-free as possible.
After all, you’re on your way to create software that will transform your organization, your community - possibly the world. (No need for modesty here!)
On that path to greatness, there’s no room for hosting frustrations.
Everyone wishes for a hosting solution that makes it easy to deploy features rapidly. It should also be cost-effective, keeping your bottom line happy and freeing up resources to put towards development.
That’s exactly the reason we’d like to tell you about Serverless.
Artificial Intelligence can compose songs, paint pictures, help in cancer therapy, drive cars and play games. It’s also starting to write code. Does it mean that the days of human developers are already numbered?
Articles praising the usage of unit testing are a dime a dozen. A little less popular but still readily available are articles that will try to convince you that unit tests are a waste of time, at least in some cases.
Most of them (or maybe even all?) try to prove their arguments based on feelings, on the author’s own assessment of what is good and effective or bad and inefficient.
In this article, I won’t be trying to prove which side is right.
Go (often referred to as golang) is awesome!
Let me explain why a Python fan of many years could say that. But to understand that we have to go back in time to see how my fascination with Python began.
In fintech, you can’t afford to fly blind.
This is especially true for your choice of tech stack. You don’t want to fall behind the competition due to lack of proper research.
Or maybe you’re just plain curious about the top solutions for fintech companies. Python is a great choice in this industry - but which companies use it, specifically?
We’ve got you covered with our list of top 15 fintechs that use Python in their tech stack.
At some point in the creation of your fintech start-up you will have to make decisions that are very hard to un-make. One such decision is your choice of tech stack. If you go wrong here, your costs may skyrocket down the line, putting you in the red despite best intentions.
Your fintech needs a programming language that is easy to handle, scalable, mature, high-performance and coupled with ready-made libraries and components.
Luckily, Python is there to deliver it all. Read on and you’ll find that it’s quite easy to make a case for Python in this industry.
STX Next’s Python developers are set to continue the company’s mission of spreading effective coding practices by speaking at two Python conferences in the coming weeks, EuroPython and PyParis.