Dustin Ingram

Software security is a critical aspect of developing and maintaining reliable and safe systems. In the case of large and popular open source ecosystems, such as Python, ensuring security across a wide and diverse set of users and use cases can be a daunting task.

Supply Chain Security: so hot right now. With the recently increased focus on securing software systems, there has been a incredible explosion of tools, methodologies, standards, best practices, and more.

One of the most powerful parts of Python lies not within the language itself, but within the robust ecosystem of open-source Python packages available to use along with it.

Python is well-known as a programming language without static types. This means that you don’t need to say what a given variable will hold, or whether your function will return a string or an integer (or sometimes one, and sometimes another!).

Python is well-known as a programming language without static types. This means that you don’t need to say what a given variable will hold, or whether your function will return a string or an integer (or sometimes one, and sometimes another!).

In this talk, we’ll take a look at common patterns to improve the local development environment for your Python package, enabling your new developers to get up and running fast, current developers to write code and iterate faster, and to improve portability between developers and their platforms.

In this talk, we'll discuss the advantages and disadvantages to a static type system, as well as recent efforts to introduce static typing to Python via optional "type hints" and various tools to aid in adding types to Python code.