Numpy Tutorial Part-1 | PyCSR | Learn Python Online with Pankaj Soni

In this video you are going to learn following things:
Most commonly used numpy functions
1. Get version of numpy
2. Supported functions
3. create an array
4. with specific data type
5. Get various attributes
6. Genearate an array based on range values
7. Convert a list into numpy array
8. or using asarray method
9. Generate random number
10. Reshaping an array to 1-D, 2-D,3-D, N-D
11. Creating array of string
12. Creating array of string with other data types
13. Manipulating one element of an array and its impact on other element
14. create linearly spaced values
15. create logrithmic spaced values
16. Creating specific type of array
17. Transposing an Array
18. Modifying array values
19. Spliting an array
20. Stacking up arrays
21. Modifying range of array values using [::] or [...]
22. Flattening an array
23. Repeat and tile
24. Append, Insert, Concatenate
25. Arithmetic Operation on array
26. Indexing and Slicing
27. Iterating over an array
28. Statistical functions
29. Conditional functions
30. shallow copy and Deep copy
31. Modifying range of array values using [::] or elipsis [...]
32. Linear Algebra
33. Ploynomial equation
34. Get sin/cos values and plot them
35. Input/Output in numpy
36. finding null, non-null, nan values in array
37. How to find total number of null values
38. Interview Questions on NUMPY

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