Category: Python
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Free Webinar: Regexp Q&A
To celebrate the publication of my new ebook, Practice Makes Regexp, my upcoming Webinar (on March 22nd) is all about regular expressions (“regexps”) in Python, Ruby, JavaScript, and PostgreSQL, as well as the Unix “grep” command. Unlike previous Webinars, in which I gave a presentation and then took Q&A, this time will be all about…
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Yes, you can master regular expressions!
Announcing: My new book, “Practice Makes Regexp,” with 50 exercises meant to help you learn and master regular expressions. With explanations and code in Python, Ruby, JavaScript, and PostgreSQL. I spend most of my time nowadays going to high-tech companies and training programmers in new languages and techniques. Actually, many of the things I teach…
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All 50 “Practice Makes Python” screencasts are complete!
I’m delighted to announce that I’ve completed a screencast for every single one of the 50 exercises in my ebook, “Practice Makes Python.” This is more than 300 minutes (5 hours!) of Python instruction, helping you to become a more expert Python programmer. Each screencast consists of me solving one of the exercises in real-time,…
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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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Understanding nested list comprehensions in Python
In my last blog post, I discussed list comprehensions, and how to think about them. Several people suggested (via e-mail, and in comments on the blog) that I should write a follow-up posting about nested list comprehensions. I must admit that nested list comprehensions are something that I’ve shied away from for years. Every time…
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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…