I’m glad to say that the last few months have been a return to the world of day-to-day coding and software craftsmanship for me. To give a taste of what I’ve been working on, I’m going to take you on a tour through some damn good Python software I’ve been using day-to-day lately. Python 3 … Continue reading Good Python Software
When I describe my programming background these days, I say that I code “primarily in Python, JavaScript, Clojure, C… and Zig!” I put Python first in that list for good reason. This is a post about the core Python language, but also the ways in which Python is evolving its single-core and multi-core CPU performance. … Continue reading Core Python
A few years back, I published The Elements of Python Style, a popular Python code style guide. Since publishing it, friends of mine in the Python community have wondered if I might consider adding a section about package installation, dependency management, and other similar “standard tooling” recommendations. This is a reasonable request, since Python lacks … Continue reading How Python programmers can uncontroversially approach build, dependency, and packaging tooling (+ a note on Zig)
James Bennett, a long-time Python developer, blogger, and contributor to Django, recently wrote a nice post about the “end” of Python 2.x, entitled “Variations on the Death of Python 2.” It’s a great read for anyone who, like me, has been in the Python community a long time. I’ve been a Python user since the … Continue reading Python 3 is here and the sky is not falling
Let’s say you’ve just joined my team and want to become an idiomatic Python programmer. Where do you begin? Well, you can move up the learning curve quickly using resources from this blog: Pythonic means idiomatic and tasteful import this: learning the Zen of Python The 3 Best Python Books for Your Team I also … Continue reading Idiomatic Python Resources
Python was the core programming language used at Parse.ly. It is a widely-used language with huge adoption among open source projects. It’s no wonder it’s one of the leading languages for software teams. I’ve written a couple of blog posts with original material for learning Python, including “import this: learning the Zen of Python with … Continue reading The 3 Best Python Books for Your Team
Apache Storm, Kafka, and Spark are gaining a lot of momentum in the data analysis and processing communities. I was curious whether the interest in using these technologies with Python, in particular, is growing. Based on these Google Trends reports, it seems like it is.
In June 2012, I promised myself that I’d learn Clojure “as a mind expander”. As a long-time Python programmer who has been using Python full-time in my work at Parse.ly, I wanted to explore. I wrote then: I don’t know whether Clojure programs will be better or worse than equivalent Python programs. But I know … Continue reading Clojonic: Pythonic Clojure
In 2010, the Python core team wrote PEP 3107, which introduced function annotations for Python 3.x. Nearly 4 years ago, I wrote this response to the PEP, but I published it to a discussion site that ended up becoming defunct (Clusterify). I saw that recently, interest in function annotations for type-checking was revived by GvR, … Continue reading Python annotations and type-checking
Parse.ly released streamparse today, which lets you run Python code against real-time streams of data by integrating with Apache Storm. We released it for our talk, “Real-time streams & logs with Apache Kafka and Storm” at PyData Silicon Valley 2014. An initial release (0.0.5) was made. It includes a command-line tool, sparse, with the ability … Continue reading streamparse: Python + Apache Storm for real-time stream processing
