Getting data *into* your database is easy, but querying large datasets is challenging—especially without the right indexes. Pavel Tkachenko teaches how to write performant SQL queries with EXPLAIN and ANALYZE.
The NoCredentialsError is an error encountered when using the Boto3 library to interface with Amazon Web Services (AWS). Specifically, this error is encountered when your AWS credentials are missing, invalid, or cannot be located by your Python script. These credentials are stored by default at ~/.aws/credentials which contains your access key and secret access key for using AWS services, along with other configuration details such as your region code.
Python is insanely popular among machine learning enthusiasts these days. Hence, anyone developing a machine learning model normally turns to Python. The real challenge arises at the deployment stage because you can use many frameworks. Figuring out which Python framework to use may add to the confusion. This post discusses two popular machine learning frameworks, Flask and Django. We’ll also compare them side by side, so that you can make the right choice.
In this post, we'll dive into ractors in Ruby, exploring how to build a ractor. You'll send and receive messages in ractors, and learn about shareable and unshareable objects. But first, let's define the actor model and ractors, and consider when you should use ractors.
Insurance companies, like those across many other industries, struggle with systemic issues brought on by disjointed, outdated core technologies. To help minimize the strain disconnected systems can cause, Appian invests in experts with years of first-hand experience to deliver digital solutions that can increase efficiency and improve the customer experience.
Change failure rate indicates the efficiency of your team’s overall development process; here's how to improve CFR for your mobile app.
It’s always great to build something that makes money. The most successful businesses often find the easiest and most efficient ways to make money, while keeping costs and support to a minimum. After all, the best businesses and products are simply the ones that know how to build revenue. Many companies now look to monetizing their APIs as part of their overall monetization strategy. API monetization isn’t always easy though.
In the first part of this series on maintainable Elixir code, we started by applying rules for code predictability in our code design. We immediately saw an emerging pattern: a series of transformations on state. In this part, we'll explore this pattern further. We'll first learn how to write expressions as reducers. Then we'll use metaprogramming to make use of reducers and enforce code style seamlessly. Finishing up, we'll see an example where all the pieces fit together. Let's get going!
