#157: The Journal of Open Source Software
One of the hottest areas of growth for Python is in the scientific and data science communities. But if that work is done in an academic or research setting, it can be very hard to get proper credit for it. You have to write full on peer reviewed articles.
6 Apr 20181h 4min
#156: Python History and Perspectives
Learning about programming libraries and languages is useful and interesting. But sometimes knowing WHY certain decisions were made or the history leading up to some change or package being created gives you a deeper understanding.
24 Mars 201859min
#155: Practical steps for moving to Python 3
Since 2008 there has been this tension in Python where the much of the effort to improve Python has been on Python 3 whereas many developers were left stuck on Python 2 primarily because important packages were not yet Python 3 capable.
16 Mars 20181h 3min
#154: Python in Biology and Genomics
Python is often used in big-data situations. One of the more personal sources of large data sets is our own genetic code. Of course, as Python grows stronger in data science, it's finding its place in biology and genetics.
7 Mars 201858min
#153: How Python Evolves
If you have spent some time in the Python community, you have probably heard the term PEP which stands for Python Enhancement Proposal. In fact, the very first one was created in June 2000 which defines the PEP process.
1 Mars 20181h 22min
#152: Understanding and using Python's AST
Have you heard about ASTs? Maybe that was in the context of compilers or parsers? They are an powerful data structure that we all use but often indirectly. They are just an, well, abstract idea to most of us.
23 Feb 201851min
#151: Gradual Typing of Production Applications
I hope you using Python 3 these days. One of its powerful new features is type annotations. This lets you build and maintain large-scale Python projects with much more ease and confidence.
16 Feb 20181h 9min
#150: Technical Lessons Learned from Pythonic Refactoring
Does your code smell? Have a weird fragrance? It turns out code smells are a real thing and an amazing conceptualization of suboptimal design. This week you'll meet Yenny Cheung who has some practical and real-world advice on using refactoring in Python to improve your code and wash away those code smells.
8 Feb 201859min
