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I used the -c flag to take advantage of Vim’s word-processing features from the command line:
#Nodebox python install install
In order to install the package, I also had to manipulate some whitespace characters. I used a Python library called 2to3 as a first pass to automatically convert the numerous print statements and other Python 2 elements. The most common difference is the print syntax but also, there are many Python 2 libraries that have been deprecated. There are several differences between Python 2 and 3 that will cause a Python 3 interpreter to fail to process Python 2 code. Determined to get my hands on a working verb conjugator, I took it upon myself to dust off this old program and pump new life into it. I eventually came across an old Python library called Nodebox Linguistics Extended (NLE), which conjugates in both directions but is written in Python 2 and no longer maintained. The closest working Python 3 library I could find is called mlconjug3, which fell short of my conjugation criteria: it can convert from the infinitive form to others but not in the other direction.
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I recently became in need of verb-conjugation software but was surprised that all major NLP libraries in Python-NLTK, SpaCy, and Stanford NLP-lack such a feature. Given a verb in the present tense, one can obtain the past tense, infinitive, or gerund of that verb and vice-versa. Make sure you use a valid email address so I can contact you if you win.A verb conjugator is a tool that NLP practitioners can use to convert a verb from one conjugation to another. Leave a comment below by this Sunday at 8pm EST, and I’ll select someone at random for a free e-copy of Beginning Python Visualization. If you do know a little bit of Python though and want to use it to visualize data, Beginning Python Visualization is a good book to have that can serve as a guide and a handy reference. Everything is explained clearly, and I’m sure I’ll be referring back to it as I use Python more.īottom line: If you’re a coding beginner, this book could be useful to you if you can get someone to install a few Python packages on your system. Once I got the packages installed correctly though, it was smooth sailing. That means you have to install these before you can go through the examples, which took a while for me to get working, but maybe that’s just me.
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My main reason for saying this is not because the examples are confusing – they’re pretty straightforward rather, a lot of the code and explanations in BPV rely on Python packages like SciPy, NumPy, and Matplotlib. If you have absolutely no programming experience, then this book probably isn’t for you. Who this is ForīPV is for a semi-technical audience. You can look at the table of contents on the Amazon page for more details on book content. It then covers more scientific visualization with splines, interpolation, and some signal processing.
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It starts with your basic graphs and how to draw in Python. There are a lot of online tutorials on how to do that stuff, but it was good to have everything in one place and to find out the right way to do things from an expert.Īfter the data munging section, BPV gets into the visualization topics you’d expect. It goes into some about how to collect data and then goes deeper into reading, parsing, and formatting your data once you’ve got it. It starts from the very beginning (well, close to it at least) – at the data. BPV doesn’t just cover the actual visualization options. What Beginning Python Visualization Covers While you might need a little bit of programming experience to fully make use of this book, Vaingast provides plenty of examples and explanations for you to easily learn how to use Python’s visualization options. Beginning Python Visualization (BPV) by Shai Vaingast is a guide to help you do this. I mainly use it for data scraping, parsing, munging, etc, and more recently, for the Web, and I’ve left visualization up to other languages.īut why not use Python for visualization too? That way you can have everything in one language and all the gears can fit together a little easier. Python is a powerful programming language that’s good for a lot of things.
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