Provisioning and deploying applications has become an important aspect of building scalable applications and delivering features continuously.
When designing a product or service we bring so many assumptions to the table. One of the core attributes of Lean Startup is to validate our assumptions. We first acknowledge that we have assumptions and then we do something about it. There are a lot of right answers for what actions you can take and speaking with customers is at the top of the list!
When developing software, there eventually comes a time when the team needs to start thinking about performance. Ideally this is done on a daily basis - most developers try to balance productivity, code readability and shipping features. But at some point of the life cycle of the application, the need to optimize for performance becomes evident.
This is the third part of the Protecting a Python codebase series. This time we will be playing with Python interpreter in order to protect the original code of a Python based project.
Most any entrepreneurial person has searched for a trademark on the USPTO.gov website. Their search feature is straight forward, if somewhat innefficient and inflexible. It’s as old-school as it gets.
And so…I just moved back to Los Angeles from beautiful, friendly and surprisingly sunny Portland, Oregon. The Beaver state, go Ducks, Multnomah Falls, Ava Genes, Poler Outdoor Stuff, real public transportation, facial hair, beer and cocktail culture.
Today it is quite common to write applications that depend on third-party APIs, or even internal APIs, in this modularized digital world. But it makes testing tricky because dependency has an impact during the testing process: