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How to Build a Runtime Environment from Source
This post compares two ways to build an open source language runtime environment – manually using compilers, or automated via the ActiveState Platform.
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How to Build a Generative Adversarial Network (GAN) to Identify Deepfakes
Learn how to build a Generative Adversarial Network to identify deepfakes.
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ActiveState’s Build Graph – Sneak Peak
With our Build Graph, we’re adding the ability for developers to not only expand our Platform, but also use any new capabilities added by others.
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Top 10 Python Tools To Make a Developer’s Life Easier
This post shows you how to work with some of the most useful Python packages that will make your life easier by helping solve common, repetitive tasks.
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Solving Reproducibility & Transparency in Google Cloud Build CI/CD Pipelines
Learn how to create a more secure and compliant CI/CD pipeline while eliminating “works on my machine” issues.
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Using Python for CyberSecurity Testing
Hack an application and your local network in this post, and learn why Python is the language of choice for many security engineers.
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Simplifying Jenkins CI/CD Pipelines
Learn how to eliminate reproducibility issues by making the runtime environment perfectly reproducible on all systems across your CI/CD pipeline.
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Top 10 Python Packages for Finance and Financial Modeling
This blog can help you understand the top ten most useful Python packages for financial modeling, and how to use them.
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Optimizing CI/CD Pipelines in GitHub Actions
Learn how to use ActiveState’s tooling to simplify GitHub Action’s CI/CD, and speed builds with parallelized multi-platform capabilities and caching.
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Fantasy March Madness: How to Predict Winners
Follow along with our machine learning model to see who could have won the NCAA March Madness 2020 tournament.
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How to Create Scalable Data Pipelines with Python
Learn how to build a simple, scalable and flexible data pipeline using only Python code.
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How to Simplify CI/CD Pipelines for Windows
Learn how ActiveState’s tooling can make runtime environments perfectly reproducible on dev, CI/CD and production machines with a single automatable command.
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