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Python Development

Submitted by Roy Schestowitz on Wednesday 6th of May 2020 04:14:15 PM Filed under
Development
  • “Flying Pandas” and “Making Pandas Fly” – virtual talks this weekend on faster data processing with Pandas, Modin, Dask and Vaex

    The remote talk to Budapest was slightly hampered by a chunk of the Virgin internet backbone disappearing just before I spoke, thankfully we got it back a few minutes later (else I was going to live present, with a live Dask demo, tethered via a 4G mobile connection!). I had some great questions from the Budapest audience – thanks for having me!

    For PyDataUK, our inaugural event this week (a week after the two talks above) I gave a variant of Making Pandas Fly to 250 live streamers, oragnised by the lovely crowd at PyDataManchester. The YouTube link is available (via the meetup page), Paige Bailey of Google was the lead speaker on TensorFlow Probability which was an intriguing talk (sadly yet another thing I’ll run out of time before trying).

    Thanks to James Powell for his CallGraph code (uploaded here) to show how many extra calls Pandas might add onto a NumPy operation on a column.

  • 7 Tips to Improve Your Error Handling in Python

    Proper error handling can make your Python code simpler, more readable, and idiomatic.

  • map(), filter(), and reduce() in Python with Examples

    The map(), filter() and reduce() functions bring a bit of functional programming to Python. All three of these are convenience functions that can be replaced with List Comprehensions or loops, but provide a more elegant and short-hand approach to some problems.

  • Ian Ozsvald: Week note

    Well, mid-next-week note I guess. I gave another variant of my higher performance Python talk last night for PyDataUK to 250 live streamers, we had some good questions, cheers all.

    On Friday Micha & I heard that the 2nd edition of our Higher Performance Python book has gone to the printers – we’d said we’d do 1 person-month each on it last summer and 9 months later (with many-person-months invested each) we’re finally there. Phew.

    I now have an open PR on the dabl project to add ordinal-sorted y-axis box plot items in place of the default always-sort-by-median, which I think makes some of the exploratory process more intuitive. This also involved figuring out a new weird matplotlib rendering behaviour and writing my first unit test where I make up a dummy matplotlib figure in a test which is rendered but never displayed. There’s always a million new things to learn, right?

  • New Database Features in PyCharm 2020.1

    PyCharm 2020.1 comes with new Database export features that make exporting data easier. You can now see previews of the data that you want to export, letting you have a quick glance of what the data will look like.

  • Using Python Dictionary Keys

    We can think of a dictionary in python the same as a normal translation dictionary where we see the meaning of any word. In simple language, we can think of a dictionary as a key-value pair as we look in the dictionary meaning of a word that goes with the dictionary used in python. Dictionary is a data type in python which is very useful. Dictionary will have a key and a value associated with it. In this tutorial, I help understand setting default dictionary python values and you can try on any system which have python installed. We can search for the key in a dictionary and we can fetch the value associated with the key.

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