NumPy Beginner | SciPy 2016 Tutorial | Alexandre Chabot LeClerc

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  • Опубликовано: 3 янв 2025

Комментарии • 30

  •  7 лет назад +38

    The first third-or-so of the talk concentrates of "first steps with matplotlib". For numpy specifically, you may want to fast-forward to 1:16:10.

    • @andreal.huerta3079
      @andreal.huerta3079 7 лет назад

      I agree with you, he uses a lot of time in matplotlib, but he skips a lot of the material from Numpy that the git repository contains.

    • @Brickkzz
      @Brickkzz 7 лет назад

      Thanks!

    • @kuls43
      @kuls43 6 лет назад

      44:54 how did you get all the available options with cm. ? Anyone please?

    • @EerosageGaming
      @EerosageGaming 5 лет назад

      @@kuls43 run it wrongly and see the option in log

  • @zennologyofeverything7265
    @zennologyofeverything7265 7 лет назад +9

    Numpy tutorial starts at 1:16:10

  • @karlasandoval13
    @karlasandoval13 5 лет назад +1

    This tutorial is really helpful, very well explained! Thanks.

  • @RaysAstrophotography
    @RaysAstrophotography 6 лет назад

    Excellent tutorial Alex. Fantastic information.

  • @techsolvi5985
    @techsolvi5985 7 лет назад +1

    Thanks for Teaching .... Great Presentation, Well Explained Stuffs, And Thanks Again for the materials.

  • @enthought
    @enthought  8 лет назад +6

    See the complete SciPy 2016 Conference talk & tutorial playlist here: ruclips.net/p/PLYx7XA2nY5Gf37zYZMw6OqGFRPjB1jCy6

  • @abelmuller5027
    @abelmuller5027 7 лет назад

    Thanks. I learned a lot from your tutorial.

  • @nassimguerroumi4400
    @nassimguerroumi4400 8 лет назад +3

    Thank you, it's very well explained :D

  • @rapazlatino-americano9421
    @rapazlatino-americano9421 6 лет назад

    Thanks a lot. It will be very useful for me and it was a great presentation.

  • @dmtv_5559
    @dmtv_5559 7 лет назад +1

    Dear Alex
    Please how do I create a 3x3 neighborhood in python to calculate a value of an index for that neighbourhood center for a large 2d array. But is actualy 3d(x,y,z). I am interested in slope from a raster e.g DEM
    Thanks

  • @haybutube
    @haybutube 7 лет назад

    very awesome tutorial. Thanks.

  • @kuls43
    @kuls43 6 лет назад

    44:54 how did you get all the available options with cm. ? Anyone please?

  • @parakeetbasmati4023
    @parakeetbasmati4023 6 лет назад +1

    Ton anglais est impeccable

  • @johnpauljean
    @johnpauljean 8 лет назад +1

    Gracias por la clase

  • @TULHAgarnaxo
    @TULHAgarnaxo 7 лет назад

    What's the other tool he is talking about @2:16:03 ? thanks

    • @DivyanshuBansal
      @DivyanshuBansal 7 лет назад

      genfromtxt
      you can see all names(of functions) on the slide number 35 named Arrays to/from files.
      here's the link for slides and other material github.com/enthought/Numpy-Tutorial-SciPyConf-2016

  • @souravpurkait5926
    @souravpurkait5926 6 лет назад

    nice tutorial :)

  • @anditsP
    @anditsP 6 лет назад +2

    Goodbye Headphone Wearers 1:52:42 . Good tutorial.

  • @artemfediai7206
    @artemfediai7206 3 года назад

    Syntax of np.

  • @foadsf
    @foadsf 5 лет назад

    nice tutorial but sometimes misleading. for example
    from numpy import *
    seems like a bad practice to me. the common practice nowadays is to
    import numpy as np
    and then use np.func functions. this way you make sure you do not mess up with other name spaces.
    plus the matplotlib part seems primitive. Python is an oop language and all matplotlib figures, axis... are objects. one can easily name them an access their parameters using . dot operand...

  • @SahibzadaIrfanUllahNaqshbandi
    @SahibzadaIrfanUllahNaqshbandi 7 лет назад

    Got useful

  • @Ashipan99
    @Ashipan99 6 лет назад

    thanks for the tutorial. axis is a b**ch though:(

  • @bicepjai
    @bicepjai 8 лет назад

    numpy array axis description ruclips.net/video/gtejJ3RCddE/видео.htmlh53m15s

  • @8bit_hero850
    @8bit_hero850 7 лет назад

    Very uninteresting video... Didn't learn anything..He's just saying this is this, that is that...