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

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

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!

Language: english

Note: 4.5/5 (14 notes) 8,985 students

Instructor(s): PaweĊ‚ Krakowiak

Last update: 2022-07-06

What you’ll 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

 

Requirements

  • completion of all courses in the Python Developer learning path
  • basic knowledge of NumPy and Pandas
  • I have courses which can assist in obtaining all the necessary skills for this course

 

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.

 

Who this course is for

  • everyone who wants to learn by doing
  • everyone who wants to improve Python programming skills
  • everyone who wants to improve data science skills
  • everyone who wants to prepare for an interview

 

Course 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
  • Bonus
    • Bonus

 

230+ Exercises - Python for Data Science - NumPy + Pandas230+ Exercises - Python for Data Science - NumPy + Pandas

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