Category: Python
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Free Webinar: Pandas and Matplotlib
It’s time for another free hour-long Webinar! This time, I’ll be talking about the increasingly popular tools for data science in Python, namely Pandas and Matplotlib. How can you read data into Pandas, manipulate it, and then plot it? I’ll show you a large number of examples and use cases, and we’ll also have lots…
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Reminder: Free Webinar on data science in Python
There’s still time to register for my free, one-hour Webinar on data science in Python, which will be tomorrow (Tuesday). There’s clearly too much material for me to give just one Webinar, so this will be the first in a series that I’ll be offering over the coming months. But if you’re interested in hearing…
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Free Webinar: Data science with Python on December 8th
It’s time for me to do another free one-hour Webinar, this time about data science with Python. It’ll be on December 8th, at 9 p.m. GMT. Data science is all the rage, and rightly so — and Python is one of the best-known and best-equipped languages in which to do it. In this Webinar, I’ll…
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Python’s objects and classes — a visual guide
Python developers love to say that “everything is an object.” And indeed, when I teach Python classes, I say this several times, and many people nod in agreement, assuming that I’m merely repeating something they’ve heard before. After all, people often say that everything in Java is an object (except for the things that aren’t),…
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Registration is open for my October Webinars (about regexps and technical training)
September has been busy with work and holidays, but I’m gearing up for an exciting and busy October. Among other things, I’m giving two (free) Webinars in that month, and you can already register for them: Intermediate Regular expressions: In my previous Webinar about regular expressions, I covered the basics. In this one, we’ll go…
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Want to understand Python’s comprehensions? Think in Excel or SQL.
Comprehensions are among the most useful constructs in Python. They merge the old, trusty “map” and “filter” functions into a single piece of compact, elegant syntax, allowing us to expression complex ideas in a minimum of code. Comprehensions are one of the most important tools in a Pythonista’s toolbox. And yet, I have found that…
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Why you should almost never use “is” in Python
It’s really tempting, when you first start to use Python, to use “is” rather than “==”. It’s a bit more readable, and it feels like it should just work, especially when you’re dealing with integers. In a language that uses “or” and “and” instead of “||” and “&&”, it seems logical to use “is” instead…
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Free Webinar on June 23rd: Introduction to Regular Expressions
If you’re a programmer, then you have likely heard about regular expressions (“regexps”) before. However, it’s also likely that you have tried to learn them, and have found them to be completely confusing. That’s not unusual; while regular expressions provide us with a powerful tool for analyzing text, their terse, dense, and cryptic syntax can…
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Free one-hour Webinar about Python’s magic methods on May 6th
I’ll be giving another free one-hour Webinar about Python — this time, about the magic methods that Python offers developers who want to change the ways in which their objects work. We’ll start off with some of the simplest magic methods, but will quickly move onto some of the more interesting and advanced ones —…