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products:ict:python:numpy_intro [2023/09/11 14:38] – created wikiadminproducts:ict:python:numpy_intro [2023/09/11 22:09] (current) – wikiadmin
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 Understanding NumPy arrays, their attributes, and data types. Understanding NumPy arrays, their attributes, and data types.
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 Creating arrays using functions like numpy.array(), numpy.zeros(), numpy.ones(), and numpy.arange(). Creating arrays using functions like numpy.array(), numpy.zeros(), numpy.ones(), and numpy.arange().
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 Array Shape and Dimensions: Array Shape and Dimensions:
  
 Exploring the shape and dimensions of NumPy arrays. Exploring the shape and dimensions of NumPy arrays.
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 Reshaping arrays using numpy.reshape(). Reshaping arrays using numpy.reshape().
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 Array Indexing and Slicing: Array Indexing and Slicing:
  
 Accessing and modifying elements within NumPy arrays. Accessing and modifying elements within NumPy arrays.
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 Slicing arrays to extract specific parts. Slicing arrays to extract specific parts.
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 Mathematical Operations: Mathematical Operations:
  
 Performing element-wise mathematical operations on arrays. Performing element-wise mathematical operations on arrays.
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 Broadcasting and its role in operations with arrays of different shapes. Broadcasting and its role in operations with arrays of different shapes.
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 Aggregation and Statistics: Aggregation and Statistics:
  
 Calculating basic statistics like mean, median, and standard deviation. Calculating basic statistics like mean, median, and standard deviation.
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 Aggregating data along specific axes using functions like numpy.sum() and numpy.mean(). Aggregating data along specific axes using functions like numpy.sum() and numpy.mean().
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 Array Concatenation and Splitting: Array Concatenation and Splitting:
  
 Combining multiple arrays using numpy.concatenate() and numpy.vstack(), numpy.hstack(). Combining multiple arrays using numpy.concatenate() and numpy.vstack(), numpy.hstack().
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 Splitting arrays using numpy.split() and numpy.hsplit(). Splitting arrays using numpy.split() and numpy.hsplit().
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 Boolean Indexing: Boolean Indexing:
  
 Filtering data based on conditions using Boolean indexing. Filtering data based on conditions using Boolean indexing.
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 File Input and Output: File Input and Output:
  
 Loading and saving NumPy arrays to/from files using numpy.save() and numpy.load(). Loading and saving NumPy arrays to/from files using numpy.save() and numpy.load().
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 Random Number Generation: Random Number Generation:
  
 Generating random numbers and random arrays with NumPy's random module. Generating random numbers and random arrays with NumPy's random module.
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products/ict/python/numpy_intro.1694425082.txt.gz · Last modified: 2023/09/11 14:38 by wikiadmin