*Array Creation*
1.
numpy.array() - Create an array from a list or other iterable.2.
numpy.zeros() - Create an array filled with zeros.3.
numpy.ones() - Create an array filled with ones.4.
numpy.empty() - Create an empty array.5.
numpy.arange() - Create an array with evenly spaced values.6.
numpy.linspace() - Create an array with evenly spaced values.*Array Operations*
1.
+ - Element-wise addition.2.
- - Element-wise subtraction.3.
* - Element-wise multiplication.4.
/ - Element-wise division.5.
** - Element-wise exponentiation.6.
numpy.sum() - Sum of all elements.7.
numpy.mean() - Mean of all elements.8.
numpy.median() - Median of all elements.9.
numpy.std() - Standard deviation.10.
numpy.var() - Variance.*Array Indexing*
1.
arr[i] - Access ith element.2.
arr[i:j] - Access slice from ith to jth element.3.
arr[i:j:k] - Access slice with step k.*Array Reshaping*
1.
arr.reshape() - Reshape array.2.
arr.flatten() - Flatten array.3.
arr.ravel() - Flatten array.*Array Manipulation*
1.
numpy.concatenate() - Concatenate arrays.2.
numpy.split() - Split array.3.
numpy.transpose() - Transpose array.4.
numpy.flip() - Flip array.*Mathematical Functions*
1.
numpy.sin() - Sine.2.
numpy.cos() - Cosine.3.
numpy.tan() - Tangent.4.
numpy.exp() - Exponential.5.
numpy.log() - Natural logarithm.*Statistical Functions*
1.
numpy.min() - Minimum value.2.
numpy.max() - Maximum value.3.
numpy.percentile() - Percentile.4.
numpy.quantile() - Quantile.*Random Number Generation*
1.
numpy.random.rand() - Random numbers.2.
numpy.random.normal() - Normal distribution.3.
numpy.random.uniform() - Uniform distribution.*Linear Algebra*
1.
numpy.dot() - Dot product.2.
numpy.matmul() - Matrix multiplication.3.
numpy.linalg.inv() - Matrix inverse.#cheat_sheet #Python
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