It might be a shock for you to find an article about getting started with programming on the blog of a seasoned software house.
But not all of us join STX Next as programmers, and today I’d like to share my experience of learning Python from the perspective of a Junior Inbound Marketing Specialist.
From the very beginning, all startups face a critically important decision of picking the right programming language. Since this may determine the success or failure of your startup, you should choose wisely.
This article will show you why you should consider Python as the programming language of choice for your startup. We’ll also give you a few examples of startups already using Python to gain a competitive edge.
The position of a CTO comes with a number of expectations and responsibilities. There are many goals to accomplish, and one great way to do that is to attend technology conferences focused on your tech stack of choice.
The foundation of tech stack at the center of this article is Python, and here is a list of 8 must-attend Python conferences in 2018 to help you become a better CTO.
Whether you're an up-and-coming developer, a seasoned player in the coding business, or a successful investor, your resources are likely stretched thin and you may be understandably concerned about the quality of your software.
Code, after all, is the beating heart of your product, whatever it may be, and as such you deserve to be sure that it is top-notch.
A fail-safe way to achieve that guarantee is code review. Here is why.
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.