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wesm/pydata-book
Wsem/pydaya-book

  • AryanDadwal25
  • Opened 
    on Jan 25
  • #211

wesm/pydata-book
Pydata-book

  • Lelebertoldi
  • Opened 
    on Jan 14
  • #210

wesm/pydata-book
Error in Ch4 .argmax() function of Simulating Many Random Walks at Once

Hello, In the last example of Ch 4, Simulating Many Random Walks at Once, I think the function argmax only returns the first crossing time instead of the crossing times : crossing_times = (np.abs(walks[hits30]) ...
  • Lzshanshan
  • Opened 
    on Jan 14
  • #209

wesm/pydata-book
RUNEXE

  • sebm123
  • Opened 
    on Sep 6, 2024
  • #205

wesm/pydata-book
Ipnyb chapter 3 error

Invalid Notebook
  • farrelrassya
  • Opened 
    on Jul 12, 2024
  • #204

wesm/pydata-book
The advice for Chapter 13.1 Title

We can see the title of chapter 13.1 is 13.1 Bitly Data from 1.USA.gov So I do not understand the number 1 before USA.gov . Is it a fault?
  • MaxforCherubim
  • 1
  • Opened 
    on Jul 12, 2024
  • #203

wesm/pydata-book
I Am Unable to Open Chapter Files?

Bug may be? **I m Unable to open ch01,ch02 kinda files It is saying Unkown Error Occurred ** I have a stable internet connection out here ,Don t whats going wrong! This is it ⬇️⬇️⬇️ Screenshot_20240519-231858_Chrome ...
  • Atharvkote
  • Opened 
    on May 19, 2024
  • #202

wesm/pydata-book
The problem of chapter B5.1

The code is wrong. from IPython.core.debugger import Pdb def set_trace(): Pdb(.set_trace(sys._getframe().f_back) def debug(f, *args, **kwargs): pdb = Pdb() return pdb.runcall(f, *args, **kwargs) ...
  • MaxforCherubim
  • 1
  • Opened 
    on Apr 19, 2024
  • #201

wesm/pydata-book
The problem of chapter A.6

The sentence where 1 would mean the bucket [0, 100) is wrong. It shoule be where 1 would mean the bucket (0, 100] Because bins.searchsorted(np.array([100])) return 1
  • MaxforCherubim
  • Opened 
    on Apr 18, 2024
  • #200

wesm/pydata-book
The misunderstanding of chapter A.6

There is no differences between Out[167] and Out[169]. Though I know the means, others maybe misunderstand this. So I recommend to change the In[168] to: arr[:, 1].sort()
  • MaxforCherubim
  • Opened 
    on Apr 18, 2024
  • #199
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