No time to try out the ActiveState Platform? Now you can create a build just by uploading the requirements.txt file for your Python project, and let the Platform take care of the rest. To give it a try, just install the State Tool:
sh <(curl -q https://platform.activestate.com/dl/cli/install.sh)
And then use the following command to upload your requirements.txt file and kick off your build:
state package import [filename]
That's it! Just kick back and wait for the email notification.
Waiting for a Key Package?
Maybe you haven't joined the Platform yet because our package catalog doesn't have what you need yet. Good news! We've just added yet another 20,000 packages to our Python catalog, effectively bringing ~90% of the packages that matter in the Python ecosystem to the ActiveState Platform. Highlights this time around include moto (for mocking AWS services) and JupyterLab (the web-based UI for Jupyter notebooks), both of which are featured in this week's blog on How to Build a Data Pipeline. Still can't find the package you need? Let us know!
Simplify Windows CI/CD Pipelines
One of the great reasons to become an ActiveState Platform user is to resolve reproducibility and consistency issues with runtime environments that can cause build issues throughout the CI/CD chain. The ActiveState Platform's State Tool solves many of the reproducibility issues that plague builds, and ensures that all dependencies are always accounted for -- and it does it all without introducing a new artifact for you to manage. Read about it here.
The Keys to Machine Learning
Want to get started with machine learning, but don't know where to start? Download our "Mini ML Runtime" for Windows and Linux. It's a great way to kickstart learning and working with the growing field of machine learning since it includes everything you need to get started on projects that range from simple interactive dashboards to building your own digital virtual assistant -- all of which are available in our blogs.
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