Numpy-Practice

A DevDotCom x Coding Club JISCE initiative to Practice Numpy

Dont forget to star this repo

First steps

Create a folder with your name then create a file within that folder with the name task1.py for the first task

.
├── Numpy-Practice
│   ├── Your Name
│   │   ├── task1.py
│   │   ├── task2.py
│   │   ├── task3.py
│   │   └── ...
│   ├── other files and folders
└── ...

A guide to do the tasks with me

See the tasks as below. Try to think how you can do it on your own. If you cannot do it refer to the guide.ipynb file in the guide folder. See the code and think what the code is doing. Copy and Run the code in your task file. Think about the output. Also don't forget to use comments to explain what the code is doing.

Tasks

Task List

0. Numpy version
1. Create an empty array
2. Check whether the array is empty
3. Check elements count
4. Arrange numpy between numbers
5. Arrange numpy between numbers with intervals
6. Array reshape
7. Create a numpy with random integers
8. Create a numpy with random integers and size
9. Array of strings
10. Numpy array with strings and explicit dtype
11. Numpy array with strings and explicit dtype
12. Print without truncation
13. Save Numpy to CSV
14. Dataframe to Numpy
15. Get the nth column of an array
16. Reshape with -1 (lazy option)
17. Numpy with precision
18. Argsort on Numpy array
19. Numpy view
20. Using Flipud
21. Numpy inverse
22. Numpy Inverse
23. Numpy compare
24. Numpy compare with nonzero count
25. Flip a numpy array by using flipud
26. Flip a numpy array by using flipud without sharing the memory
27. Flip a numpy array by using fliplr (horizontally)
28. Flip a numpy array by using flip (both horizontally and vertically)
29. Flipping the numpy array using slices
30. Convert numpy array to list
31. Numpy Where
32. Numpy where with multiple conditions
33. Numpy where with multiple conditions - apply only on matching conditions
34. Process with where
35. List to numpy array
36. List to numpy array with explicit dtype
37. 2D list to numpy array
38. Convert list to float numpy array
39. Convert list to numpy array with explicit datatype
40. Find common values between two numpy array
41. Get today in numpy and deltas
42. Between two Dates
43. Random array and sorting
44. Random int array and sorting
45. String to numpy array
46. Find the nearest element in the array
47. Swap rows
48. Shuffle
49. Get specific element
50. Repeat an array
51. Min, Max, Sum
52. Get min of axis = 1
53. Using amin function
54. Using amax function
55. Get min of axis = 0
56. Calculate 90th percentile of an axis
57. Find median
58. Covariance matrix
59. Pearson product-moment correlation
60. Cross correlation
61. Count the number of occurrences
62. Create random int numpy array with specific shape
63. Create 4 different integers from 0, 40.
64. Create 4 different integers from 0, 4.
65. Shuffle
66. Shuffling by permutation
67. Seed for random
68. Get unique elements
69. Create a boolean array with a shape of x
70. Find unique intersection
71. Find the diff
72. Trying to inverse a singular matrix
73. Find the union
74. Element Sum
75. Pretty print - suppress the scientific notation
76. Print with decimal format
77. Convert flot array to int array
78. array vs asarray
79. Numpy Datetime
80. Numpy Datetime with arange
81. Compare Numpy datetime
82. Numpy 2D array flat list
83. Numpy 2D array to flat list
84. Numpy array to Pandas Dataframe
85. Numpy to Dataframe by using from_records
86. Append with hstack
87. Ravel vs. Flatten
88. Ravel and Flatten with assignment
89. Numpy Concatenate
90. Reverse 1D array
91. Reverse 2D Array
92. Reverse 2D array with elements
93. Image as an array
94. Array with prefilled values
95. Delete specific indices
96. Deleting specific elements
97. Boolean Numpy Array
98. Array of NaN
99. Replace values with specific condition
100. Selecting specific columns
101. Vectorize
102. If condition on Numpy array on the fly
103. If condition and sum on Numpy colum
104. Using Vectorize function on Numpy
105. Apply Along Axis on Numpy Matrix
106. Sort the arry by using
107. Numpy Roll
108. Roll elements
109. Array Append on Axis 0 and Axis 1
110. Rearrange array with specified index
111. Serialize array with pickle
112. Transpose
113. Continguous Array
114. Numpy Reshape with Order
115. Element-wise math
116. Where with multiple condition
117. Subtract Outer
118. Multiply Outer
119. Immutable Array
120. Float anomalies in Numpy Arange
121. Complex number and absolute value
122. Set Error in Numpy
123. Convert List of List String to Numpy Array
124. Resize a list with rounds
125. Print columns by index
126. Initalize array with tuples
127. Rearrange with permutation