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, ...
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 ...
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 ...
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 ...
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 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 ...