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NUMPY

TOPIC IN NUMPY 1

  • What is numpy?
  • Numpy Arrays Vs Python Sequences
  • Creating Numpy Arrays
  • Array Attributes
  • Changing Datatype
  • Array Operations
  • Array Functions
  • Indexing and Slicing
  • Iterating
  • Reshaping
  • Stacking
  • Splitting

TOPIC IN NUMPY 2

  • speed, memory
  • Advanced Indexing
  • Broadcasting
  • Broadcasting Rules
  • Working with mathematical formulas
  • Working with missing values
  • Plotting Graphs

TOPIC IN NUMPY 3

  • np.sort
  • np.append
  • np.concatenate
  • np.unique
  • np.expand_dims
  • np.where
  • np.argmax
  • np.cumsum
  • np.percentile
  • np.histogram
  • np.corrcoef
  • np.isin
  • np.flip
  • np.put
  • np.delete
  • np.union1d()
  • np.intersect1d()
  • np.setdiff1d()
  • np.setxor1d()
  • np.in1d()
  • np.clip
import numpy as np

REMARK ABOUT NUMPY 1

arr = np.array( , dtype=)
np.arange()
np.reshape()
np.ones()
np.zeros()
np.random.random()
np.linspace()
np.identity()

arr.ndim
arr.shape
arr.size
arr.itemsize
arr.dtype
arr.T

np.round()
np.floor()
np.ceil()

np.min()
np.max()
np.sum()
np.prod(,axis=0)

np.mean()
np.median()
np.std()
np.var(,axis=1)

np.sin()
np.dot()
np.exp()

arr.astype(np.int32)
np.transpose()
np.nditer()
np.ravel()

np.hstack()
np.vstack()

np.hsplit()
np.vsplit()

REMARK ABOUT NUMPY 2

np.isnan()

REMARK ABOUT NUMPY 3

np.sort( , axis=)
np.append( , axis=)
np.concatenate( ,axis=)
np.unique()
np.expand_dims( ,axis=)
np.where()
np.argmax( ,axis=)
np.argmin( ,axis=)
np.cumsum( ,axis=)
np.cumprod( ,axis=)

np.percentile( , )
np.histogram( ,bins=)
np.corrcoef()
np.isin( , )
np.flip( ,axis=)
np.put()
np.delete()

np.union1d()
np.intersect1d()
np.setdiff1d()
np.setxor1d()
np.in1d()
np.clip(a, a_min=, a_max=)

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