[Neuroimaging] New to coding, looking for ways to practice and improve

Juan Jesús Torre Tresols juanjesustorre at gmail.com
Tue Nov 14 03:32:19 EST 2017


Hi all,

Thank you very much for your advice! It's much appreciated. I already
checked the brainhack and MNE projects, I'll sure have a look on that
"easy" tagged requests soon!

Also, thank you for suggesting frequently used toold and useful textbooks.
I would like to get into computational anatomy too, where could I start?

Thank you very much again,

Juan

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On Tue, Nov 14, 2017 at 2:23 AM, Eleftherios Garyfallidis <elef at indiana.edu>
wrote:

> Hi Juan,
>
> Also, make sure you don't stay at the basics of the Python language but
> look into data science related books such as Python for Data Analysis or
> similar. Get familiar with numpy, scipy and perhaps scikit-learn too. These
> can be very helpful in your future endeavors.
>
> And of course if want to get into computational anatomy areas we are here
> to help.
>
> All the best,
> Eleftherios
>
>
> On Mon, Nov 13, 2017 at 8:03 PM Ariel Rokem <arokem at gmail.com> wrote:
>
>> Hello Juan,
>>
>> Brainhack is a good direction!
>>
>> On Mon, Nov 13, 2017 at 4:00 AM, Kirstie Whitaker <kw401 at cam.ac.uk>
>> wrote:
>>
>>> Hi Juan,
>>>
>>> I think your best bet is to join the Brainhack slack group:
>>> https://brainhack-slack-invite.herokuapp.com.
>>>
>>> You can find out more about Brainhack here: http://www.brainhack.org/
>>> but in brief we're a community of neuroimagers who want to improve the
>>> state of the science by building new open tools that can be used and
>>> improved by others :)
>>>
>>> The different channels in the slack team are different projects, many of
>>> which are written in python. I'd recommend writing a little introduction in
>>> the general channel (like your intro here) and asking if there are any
>>> projects currently looking for contributors.
>>>
>>> Have fun!
>>> Kirstie
>>>
>>>
>>>
>>> On 12 November 2017 at 14:30, Juan Jesús Torre Tresols <
>>> juanjesustorre at gmail.com> wrote:
>>>
>>>> Hello, members of the Python neuroimaging community.
>>>>
>>>> I'm a graduate student of neuropsychology/neuroscience with experience
>>>> in magnetoencephalography (MEG) data collection and analysis.
>>>>
>>>>
>> I will just add that for your interests and background you might want to
>> check out the MNE project:
>>
>> https://www.martinos.org/mne/stable/index.html
>>
>> If you are interested in finding a place to start contributing, the
>> "easy" tag in their issues might be a good place to look for things you can
>> start doing to get acquainted with the project:
>>
>> https://github.com/mne-tools/mne-python/issues?q=is%3Aopen+
>> is%3Aissue+label%3AEASY
>>
>> Best,
>>
>> Ariel
>>
>>
>>> As I'm currently unemployed and looking for a PhD vacancy related to
>>>> neuroimaging, I started to learn Python in order to improve my curriculum.
>>>> Now that I have finished learning the basics of the language, I started
>>>> looking for applications or projects to further develop my programming
>>>> skills.
>>>>
>>>> I would like to ask you for guidance, since I'm new to programming and
>>>> I don't really know what can I do or cannot do with Python, or what type of
>>>> personal goals I can set for myself in order to continue learning. I really
>>>> enjoyed learning Python, and I would like to put it to use in something
>>>> related to neuroimaging.
>>>>
>>>> Thank you very much for your time,
>>>>
>>>> Juan Jesús Torre Tresols
>>>>
>>>>
>>>> <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> Libre
>>>> de virus. www.avast.com
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>>>>
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>>>>
>>>
>>>
>>> --
>>> Kirstie Whitaker, PhD
>>>
>>> Research Fellow, Alan Turing Institute
>>> Research Associate, University of Cambridge
>>>
>>> *Mailing Address*
>>> Brain Mapping Unit
>>> Department of Psychiatry
>>> Sir William Hardy Building
>>> Downing Street
>>> Cambridge CB2 3EB
>>>
>>> *Phone: *+44 7583 535 307 <+44%207583%20535307>
>>> *Website:* https://whitakerlab.github.io
>>> *Twitter:* @kirstie_j <https://twitter.com/kirstie_j>
>>>
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>>>
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