230+ Exercises - Python for Data Science - NumPy + Pandas

Double pack! Improve your Python programming and data science skills and solve over 230 exercises in NumPy and Pandas!

4.55 (16 reviews)
Udemy
platform
English
language
Data Science
category
9,285
students
1 hour
content
Jul 2022
last update
$19.99
regular price

What you will learn

solve over 230 exercises in NumPy and Pandas

deal with real programming problems in data science

work with documentation and Stack Overflow

guaranteed instructor support

Description

Welcome to the 230+ Exercises - Python for Data Science - NumPy + Pandas course where you can test your Python programming skills in data science, specifically in NumPy and Pandas.


Some numpy topics you will find in the exercises:

  • working with numpy arrays

  • generating numpy arrays

  • generating numpy arrays with random values

  • iterating through arrays

  • dealing with missing values

  • working with matrices

  • reading/writing files

  • joining arrays

  • reshaping arrays

  • computing basic array statistics

  • sorting arrays

  • filtering arrays

  • image as an array

  • linear algebra

  • matrix multiplication

  • determinant of the matrix

  • eigenvalues and eignevectors

  • inverse matrix

  • shuffling arrays

  • working with polynomials

  • working with dates

  • working with strings in array

  • solving systems of equations


Some pandas topics you will find in the exercises:

  • working with Series

  • working with DatetimeIndex

  • working with DataFrames

  • reading/writing files

  • working with different data types in DataFrames

  • working with indexes

  • working with missing values

  • filtering data

  • sorting data

  • grouping data

  • mapping columns

  • computing correlation

  • concatenating DataFrames

  • calculating cumulative statistics

  • working with duplicate values

  • preparing data to machine learning models

  • dummy encoding

  • working with csv and json filles

  • merging DataFrames

  • pivot tables


The course is designed for people who have basic knowledge in Python, NumPy and Pandas. It consists of 230 exercises with solutions.

This is a great test for people who are learning the Python language and data science and are looking for new challenges. Exercises are also a good test before the interview. Many popular topics were covered in this course.


If you're wondering if it's worth taking a step towards Python, don't hesitate any longer and take the challenge today.

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230+ Exercises - Python for Data Science - NumPy + Pandas - Screenshot_01230+ Exercises - Python for Data Science - NumPy + Pandas - Screenshot_02230+ Exercises - Python for Data Science - NumPy + Pandas - Screenshot_03230+ Exercises - Python for Data Science - NumPy + Pandas - Screenshot_04

Content

Tips

A few words from the author
Requirements
Configuration

----- NUMPY -----

Intro

Starter

Exercise 0
Solution 0

Exercises 1-10

Exercise 1
Solution 1
Exercise 2
Solution 2
Exercise 3
Solution 3
Exercise 4
Solution 4
Exercise 5
Solution 5
Exercise 6
Solution 6
Exercise 7
Solution 7
Exercise 8
Solution 8
Exercise 9
Solution 9
Exercise 10
Solution 10

Exercises 11-20

Exercise 11
Solution 11
Exercise 12
Solution 12
Exercise 13
Solution 13
Exercise 14
Solution 14
Exercise 15
Solution 15
Exercise 16
Solution 16
Exercise 17
Solution 17
Exercise 18
Solution 18
Exercise 19
Solution 19
Exercise 20
Solution 20

Exercises 21-30

Exercise 21
Solution 21
Exercise 22
Solution 22
Exercise 23
Solution 23
Exercise 24
Solution 24
Exercise 25
Solution 25
Exercise 26
Solution 26
Exercise 27
Solution 27
Exercise 28
Solution 28
Exercise 29
Solution 29
Exercise 30
Solution 30

Exercises 31-40

Exercise 31
Solution 31
Exercise 32
Solution 32
Exercise 33
Solution 33
Exercise 34
Solution 34
Exercise 35
Solution 35
Exercise 36
Solution 36
Exercise 37
Solution 37
Exercise 38
Solution 38
Exercise 39
Solution 39
Exercise 40
Solution 40

Exercises 41-50

Exercise 41
Solution 41
Exercise 42
Solution 42
Exercise 43
Solution 43
Exercise 44
Solution 44
Exercise 45
Solution 45
Exercise 46
Solution 46
Exercise 47
Solution 47
Exercise 48
Solution 48
Exercise 49
Solution 49
Exercise 50
Solution 50

Exercises 51-60

Exercise 51
Solution 51
Exercise 52
Solution 52
Exercise 53
Solution 53
Exercise 54
Solution 54
Exercise 55
Solution 55
Exercise 56
Solution 56
Exercise 57
Solution 57
Exercise 58
Solution 58
Exercise 59
Solution 59
Exercise 60
Solution 60

Exercises 61-70

Exercise 61
Solution 61
Exercise 62
Solution 62
Exercise 63
Solution 63
Exercise 64
Solution 64
Exercise 65
Solution 65
Exercise 66
Solution 66
Exercise 67
Solution 67
Exercise 68
Solution 68
Exercise 69
Solution 69
Exercise 70
Solution 70

Exercises 71-80

Exercise 71
Solution 71
Exercise 72
Solution 72
Exercise 73
Solution 73
Exercise 74
Solution 74
Exercise 75
Solution 75
Exercise 76
Solution 76
Exercise 77
Solution 77
Exercise 78
Solution 78
Exercise 79
Solution 79
Exercise 80
Solution 80

Exercises 81-90

Exercise 81
Solution 81
Exercise 82
Solution 82
Exercise 83
Solution 83
Exercise 84
Solution 84
Exercise 85
Solution 85
Exercise 86
Solution 86
Exercise 87
Solution 87
Exercise 88
Solution 88
Exercise 89
Solution 89
Exercise 90
Solution 90

Exercises 91-100

Exercise 91
Solution 91
Exercise 92
Solution 92
Exercise 93
Solution 93
Exercise 94
Solution 94
Exercise 95
Solution 95
Exercise 96
Solution 96
Exercise 97
Solution 97
Exercise 98
Solution 98
Exercise 99
Solution 99
Exercise 100
Solution 100

----- PANDAS -----

Intro

Exercises 101-110

Exercise 101
Solution 101
Exercise 102
Solution 102
Exercise 103
Solution 103
Exercise 104
Solution 104
Exercise 105
Solution 105
Exercise 106
Solution 106
Exercise 107
Solution 107
Exercise 108
Solution 108
Exercise 109
Solution 109
Exercise 110
Solution 110

Exercises 111-120

Exercise 111
Solution 111
Exercise 112
Solution 112
Exercise 113
Solution 113
Exercise 114
Solution 114
Exercise 115
Solution 115
Exercise 116
Solution 116
Exercise 117
Solution 117
Exercise 118
Solution 118
Exercise 119
Solution 119
Exercise 120
Solution 120

Exercises 121-130

Exercise 121
Solution 121
Exercise 122
Solution 122
Exercise 123
Solution 123
Exercise 124
Solution 124
Exercise 125
Solution 125
Exercise 126
Solution 126
Exercise 127
Solution 127
Exercise 128
Solution 128
Exercise 129
Solution 129
Exercise 130
Solution 130

Exercises 131-140

Exercise 131
Solution 131
Exercise 132
Solution 132
Exercise 133
Solution 133
Exercise 134
Solution 134
Exercise 135
Solution 135
Exercise 136
Solution 136
Exercise 137
Solution 137
Exercise 138
Solution 138
Exercise 139
Solution 139
Exercise 140
Solution 140

Exercises 141-150

Exercise 141
Solution 141
Exercise 142
Solution 142
Exercise 143
Solution 143
Exercise 144
Solution 144
Exercise 145
Solution 145
Exercise 146
Solution 146
Exercise 147
Solution 147
Exercise 148
Solution 148
Exercise 149
Solution 149
Exercise 150
Solution 150

Exercises 151-160

Exercise 151
Solution 151
Exercise 152
Solution 152
Exercise 153
Solution 153
Exercise 154
Solution 154
Exercise 155
Solution 155
Exercise 156
Solution 156
Exercise 157
Solution 157
Exercise 158
Solution 158
Exercise 159
Solution 159
Exercise 160
Solution 160

Exercises 161-170

Exercise 161
Solution 161
Exercise 162
Solution 162
Exercise 163
Solution 163
Exercise 164
Solution 164
Exercise 165
Solution 165
Exercise 166
Solution 166
Exercise 167
Solution 167
Exercise 168
Solution 168
Exercise 169
Solution 169
Exercise 170
Solution 170

Exercises 171-180

Exercise 171
Solution 171
Exercise 172
Solution 172
Exercise 173
Solution 173
Exercise 174
Solution 174
Exercise 175
Solution 175
Exercise 176
Solution 176
Exercise 177
Solution 177
Exercise 178
Solution 178
Exercise 179
Solution 179
Exercise 180
Solution 180

Exercises 181-190

Exercise 181
Solution 181
Exercise 182
Solution 182
Exercise 183
Solution 183
Exercise 184
Solution 184
Exercise 185
Solution 185
Exercise 186
Solution 186
Exercise 187
Solution 187
Exercise 188
Solution 188
Exercise 189
Solution 189
Exercise 190
Solution 190

Exercises 191-200

Exercise 191
Solution 191
Exercise 192
Solution 192
Exercise 193
Solution 193
Exercise 194
Solution 194
Exercise 195
Solution 195
Exercise 196
Solution 196
Exercise 197
Solution 197
Exercise 198
Solution 198
Exercise 199
Solution 199
Exercise 200
Solution 200

Exercises 201-210

Exercise 201
Solution 201
Exercise 202
Solution 202
Exercise 203
Solution 203
Exercise 204
Solution 204
Exercise 205
Solution 205
Exercise 206
Solution 206
Exercise 207
Solution 207
Exercise 208
Solution 208
Exercise 209
Solution 209
Exercise 210
Solution 210

Exercises 211-220

Exercise 211
Solution 211
Exercise 212
Solution 212
Exercise 213
Solution 213
Exercise 214
Solution 214
Exercise 215
Solution 215
Exercise 216
Solution 216
Exercise 217
Solution 217
Exercise 218
Solution 218
Exercise 219
Solution 219
Exercise 220
Solution 220

Exercises 221-230

Exercise 221
Solution 221
Exercise 222
Solution 222
Exercise 223
Solution 223
Exercise 224
Solution 224
Exercise 225
Solution 225
Exercise 226
Solution 226
Exercise 227
Solution 227
Exercise 228
Solution 228
Exercise 229
Solution 229
Exercise 230
Solution 230

Exercises 230+

Exercise 231
Solution 231
Exercise 232
Solution 232
Exercise 233
Solution 233
Exercise 234
Solution 234

Configuration (optional)

Info
Google Colab + Google Drive
Google Colab + GitHub
Google Colab - Intro
Anaconda installation - Windows 10
Introduction to Spyder
Anaconda installation - Linux
Spyder

Bonus

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