#178: Coverage.py
You know you should be testing your code right? How do you know whether it's *well* tested? Are you testing the right things? If you're not using code coverage, chances are is you're guessing.
21 Syys 20181h 3min
#177: Flask goes 1.0
Flask is now 8 years old and until recently had gone along pretty steady state. It had been hanging around at version 0.11 and 0.12 for some time. After a year-long effort, the web framework has now b...
15 Syys 20181h 2min
#176: The Python Community by the Numbers
The Python landscape is changing pretty dramatically. Python's rapid growth over the past 5 years means it doesn't look the same as the early days. On this episode, we take a deep look inside the stat...
10 Syys 201853min
#175: Teaching Python to network engineers
The discipline of network engineering is quickly moving towards a world where it's as much programming and automation as it is packets and ports. Join me and Hank Preston to discuss what parts of Pyth...
31 Elo 201855min
#174: Coming into Python from another Industry (part 2)
Not everyone comes to software development and Python through 4-year computer science programs at universities. This episode highlights one alternative journey into Python.
16 Elo 201851min
#173: Coming into Python from another Industry (part 1)
Not everyone comes to software development and Python through 4-year computer science programs at universities. This episode highlights one alternative journey into Python.
7 Elo 201857min
#172: Nuitka: A full Python compiler
Quick, name some ways to make your Python code faster. Did you think PyPy, the JIT-compiled version of Python? Maybe some async and await parallelism? How about Cython where you write in Python-esc la...
1 Elo 20181h 6min
#171: 1M Jupyter notebooks analyzed
Jupyter notebooks have transformed the way many developers and data scientists do their jobs. They offer a platform to not just explore but to explain data and computation.
29 Heinä 201858min
