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NLTK is something I've been interested for a fair while, but I have been so far unaware of an efficient way to become (relatively) acquainted with NLTK.
I have done some preliminary research, which has resulted in my awareness of two online courses:
statistics.com/nlp-using-nltk/
statistics.com/nlp-using-nltk/
and this ebook:
nltk.org/book/ch00.html
I would appreciate a reccomendation of an online tutorial or course, preferably in video format, that would be a good tool for me to use. If you have used one of the things that I linked to, please give me your impressions, if possible.
I strongly recommend working your way through the NLTK book, chapter by chapter. That's by far the best way to learn how to use NLTK, and it doesn't require much Python knowledge to get started.
Earlier this year, I put together a very basic introduction to NLTK that some people have found useful: A Smattering of NLP in Python.
I'm not aware of any good video tutorials for NLTK.
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I just finished reading some books about pandas, numpy & matplotlib and thought about getting some practice.
Unfortunately, I am a bit lost on how to start.
Can anyone recommend a site, which provides csv-files to practice on?
I have found some sites like kaggle or data.gov, but they just have files, which are already cleaned etc.
I'm also open to other ways on how to practice those libraries.
Grateful for every answer.
Best regards
Just Search the Web. Using e.g. Google seach for Pandas tutorial,
Numpy tutorial and so on.
Even the home site of matplotlib contains a couple of introductory
tutorials. See e.g. https://matplotlib.org/tutorials/index.html
A good source of knowledge is also stackoverflow itself.
You could try finding some interesting datasets on: icpsr.umich.edu
In my experience, these sets often contain missing values and values that need formatting, which could be good for practice.
Some datasets are public, but many require will require special credentials. If you are a university student, this often qualifies.
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i saw many posts on this one but not really sure which is the best library that does translate from French to English. I have some 10,000 records extracted from a French website and want to translate them in to English. Can anyone help please?
Broadly, two available options are offline and online translators. The biggest tradeoff is performance vs. goodness of translation, where offline translators will be much faster while APIs provided by Google/MS will result in better translation but will require one HTTP request per translation.
You can find a good list of offline translators in this question.
For online translation, Translator API is a very common choice to start with, since Google Translate API removed the free quota.
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I am a graduate student starting to do research in Mathematical Optimization. I have a code for my algorithm in MATLAB (using object-oriented programming) that I want to translate into Python because I feel it'll be a much better language to work with for large-scale data. I am fairly comfortable with MATLAB and C.
My questions are:
1) what would be a good resource to start learning? I want to be able to translate my current code into Python, and the only 'specialized' function I'm using is norm().
2) Is there a recommended editor? I am on Linux Mint.
Thank you.
I would not use Eclipse if you are coming from a scientific background using Matlab, consider using Anaconda, you will need to decide between 2.7 & 3.5 versions.
Both are very, very good. And as far as a great source for learning about programming in Python. Try the Coursera courses online through University of Michigan taught by Charles Severence.
It walks you through a myriad of techniques to manipulate data and build thoughtful python code. the best part is the audit (which is free) allows you to fully participate in the course, including coding samples.
Honestly, I learned simply taking the Code Academy Python Course and by printing out a few cheat sheets then just doing it.
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I stumbled upon the wikidump python library, which I think suits me just fine.
I could get by by looking at the source code, but I'm new at python and I don't want to write BS code as the project I need it for is kind of important to me.
I got the 'wiki-SPECIFICDATE-pages-articles.xml.bz2' file and I would need to use that as my source for single article fetching. Can anyone give me some pointers as to properly achieve this or, even better, point at some documentation? I couldn't find any!
(p.s. if you got any better and properly doc'd lib, please tell me)
Not sure if I understand the question, but if you have the Wikipedia dump and you need to parse the wikicode, I would suggest mwparserfromhell lib.
Another powerful framework is Pywikibot, that is the historic framework for bot users on Wikipedia (thus, it has many scripts dedicated to writing pages, instead of reading and parsing articles). It has a lot of documentation (though, sometimes obsolete) and it uses MediaWiki API.
You can use them both, of course: PWB for fetching articles and mwparserfromhell for parsing.
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Real-time api browser websites like ruby-docs.com and jqapi.com are very useful, it there any similar website for Python?
Updated:
By real-time I means instant search. docs.python.org is well-wriiten but a little hard for searching (comparing with ruby-docs.com and jqapi.co).
Not clear what you mean by real-time API in this respect, a Python API?.
The documentatation at http://docs.python.org is very useful and complete, supports multiple version of the Python language (starting with 2.6) and has search.
The search there is not as interactive e.g. the one on ruby-docs.com.
I use docs.python.org quite often and personally do not miss that interactivity, as my IDE for Python has a better interactive information than a website can provide.