30 Days Of Python Code: Numpy Challenge 2022

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Posted on 02 Nov 11:59 | by mitsumi | 22 views

30 Days Of Python Code: Numpy Challenge 2022
Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 212.03 MB | Duration: 1h 15m

Improve your Python & NumPy programming skills and solve over 200 exercises!

What you'll learn
solve over 200 exercises in Python & NumPy
deal with real programming problems
work with documentation & Stack Overflow
guaranteed instructor support
Requirements
basic knowledge of Python
basic knowledge of NumPy
I have courses which can assist in obtaining all the necessary skills for this course
Description
Take the 30 days of code challenge! Welcome to the 30 Days of Python Code: NumPy Challenge course where you can test your Python & NumPy programming skills. Topics you will find in the basic exercises:arrays creationshapes, reshaping arraysdimensionssizeindexingslicingarrays manipulationmath, statistic & calculationsdatesrandomcomparing arraysbroadcastingsaving, loading & exportingappending, concatenating & stacking arrayssorting, searching & countingfilteringboolean maskimage as an arraydealing with missing valuesiterating over arrayslinear algebramatrix multiplicationpolynomialssolving systems of equationsarrays with charactersfunctional programming & universal functionsdummy encodingand otherThis course is designed for people who have basic knowledge of NumPy and Python. It consists of 200 exercises with solutions and 2 practical tests. The first test is after 15 days, the second after 30 days. This is a great test for people who are learning the Python language & NumPy and are looking for new challenges. Exercises are also a good test before the interview. If you're wondering if it's worth taking a step towards Python & NumPy, don't hesitate any longer and take the challenge today.Stack Overflow Developer SurveyAccording to the Stack Overflow Developer Survey 2021, Python is the most wanted programming language. Python passed SQL to become our third most popular technology. Python is the language developers want to work with most if they aren't already doing so.
Overview
Section 1: Configuration (optional)
Lecture 1 Info
Section 2: Tips
Lecture 2 A few words from the author
Lecture 3 Configuration
Section 3: Starter
Lecture 4 Solution 0
Section 4: Day #1 - arrays creation
Lecture 5 Solution 1
Lecture 6 Solution 2
Lecture 7 Solution 3
Lecture 8 Solution 4
Lecture 9 Solution 5
Lecture 10 Solution 6
Lecture 11 Solution 7
Lecture 12 Solution 8
Section 5: Day #2 - arrays creation
Lecture 13 Solution 1
Lecture 14 Solution 2
Lecture 15 Solution 3
Lecture 16 Solution 4
Lecture 17 Solution 5
Lecture 18 Solution 6
Lecture 19 Solution 7
Lecture 20 Solution 8
Section 6: Day #3 - arrays creation
Lecture 21 Solution 1
Lecture 22 Solution 2
Lecture 23 Solution 3
Lecture 24 Solution 4
Lecture 25 Solution 5
Lecture 26 Solution 6
Lecture 27 Solution 7
Lecture 28 Solution 8
Section 7: Day #4 - shapes, dimensions & size
Lecture 29 Solution 1
Lecture 30 Solution 2
Lecture 31 Solution 3
Lecture 32 Solution 4
Lecture 33 Solution 5
Lecture 34 Solution 6
Lecture 35 Solution 7
Lecture 36 Solution 8
Section 8: Dat #5 - shapes, dimensions & size
Lecture 37 Solution 1
Lecture 38 Solution 2
Lecture 39 Solution 3
Lecture 40 Solution 4
Lecture 41 Solution 5
Lecture 42 Solution 6
Lecture 43 Solution 7
Lecture 44 Solution 8
Section 9: Day #6 - indexing & slicing
Lecture 45 Solution 1
Lecture 46 Solution 2
Lecture 47 Solution 3
Lecture 48 Solution 4
Lecture 49 Solution 5
Lecture 50 Solution 6
Section 10: Day #7 - arrays manipulation
Lecture 51 Solution 1
Lecture 52 Solution 2
Lecture 53 Solution 3
Lecture 54 Solution 4
Lecture 55 Solution 5
Lecture 56 Solution 6
Lecture 57 Solution 7
Section 11: Day #8 - arrays manipulation
Lecture 58 Solution 1
Lecture 59 Solution 2
Lecture 60 Solution 3
Lecture 61 Solution 4
Lecture 62 Solution 5
Lecture 63 Solution 6
Lecture 64 Solution 7
Section 12: Day #9 - arrays manipulation
Lecture 65 Solution 1
Lecture 66 Solution 2
Lecture 67 Solution 3
Lecture 68 Solution 4
Lecture 69 Solution 5
Lecture 70 Solution 6
Section 13: Day #10 - math & calculations
Lecture 71 Solution 1
Lecture 72 Solution 2
Lecture 73 Solution 3
Lecture 74 Solution 4
Lecture 75 Solution 5
Lecture 76 Solution 6
Lecture 77 Solution 7
Lecture 78 Solution 8
Lecture 79 Solution 9
Section 14: Day #11 - math & calculations
Lecture 80 Solution 1
Lecture 81 Solution 2
Lecture 82 Solution 3
Lecture 83 Solution 4
Lecture 84 Solution 5
Lecture 85 Solution 6
Lecture 86 Solution 7
Lecture 87 Solution 8
Section 15: Day #12 - dates
Lecture 88 Solution 1
Lecture 89 Solution 2
Lecture 90 Solution 3
Lecture 91 Solution 4
Lecture 92 Solution 5
Lecture 93 Solution 6
Section 16: Day #13 - random
Lecture 94 Solution 1
Lecture 95 Solution 2
Lecture 96 Solution 3
Lecture 97 Solution 4
Lecture 98 Solution 5
Lecture 99 Solution 6
Lecture 100 Solution 7
Section 17: Day #14 - comparing arrays & broadcasting
Lecture 101 Solution 1
Lecture 102 Solution 2
Lecture 103 Solution 3
Lecture 104 Solution 4
Lecture 105 Solution 5
Section 18: Day #15 - saving, loading & exporting
Lecture 106 Solution 1
Lecture 107 Solution 2
Lecture 108 Solution 3
Lecture 109 Solution 4
Lecture 110 Solution 5
Lecture 111 Solution 6
Section 19: Test #1
Section 20: Day #16 - appending, concatenating & stacking
Lecture 112 Solution 1
Lecture 113 Solution 2
Lecture 114 Solution 3
Lecture 115 Solution 4
Lecture 116 Solution 5
Lecture 117 Solution 6
Section 21: Day #17 - appending, concatenating & stacking
Lecture 118 Solution 1
Lecture 119 Solution 2
Lecture 120 Solution 3
Lecture 121 Solution 4
Lecture 122 Solution 5
Section 22: Day #18 - sorting, searching & counting
Lecture 123 Solution 1
Lecture 124 Solution 2
Lecture 125 Solution 3
Lecture 126 Solution 4
Lecture 127 Solution 5
Lecture 128 Solution 6
Lecture 129 Solution 7
Lecture 130 Solution 8
Section 23: Day #19 - sorting, searching & counting
Lecture 131 Solution 1
Lecture 132 Solution 2
Lecture 133 Solution 3
Lecture 134 Solution 4
Lecture 135 Solution 5
Lecture 136 Solution 6
Lecture 137 Solution 7
Section 24: Day #20 - filtering & boolean mask
Lecture 138 Solution 1
Lecture 139 Solution 2
Lecture 140 Solution 3
Lecture 141 Solution 4
Lecture 142 Solution 5
Lecture 143 Solution 6
Lecture 144 Solution 7
Section 25: Day #21 - missing values
Lecture 145 Solution 1
Lecture 146 Solution 2
Lecture 147 Solution 3
Lecture 148 Solution 4
Lecture 149 Solution 5
Lecture 150 Solution 6
Lecture 151 Solution 7
Lecture 152 Solution 8
Section 26: Day #22 - iterating
Lecture 153 Solution 1
Lecture 154 Solution 2
Lecture 155 Solution 3
Lecture 156 Solution 4
Lecture 157 Solution 5
Lecture 158 Solution 6
Section 27: Day #23 - miscellaneous functions
Lecture 159 Solution 1
Lecture 160 Solution 2
Lecture 161 Solution 3
Lecture 162 Solution 4
Lecture 163 Solution 5
Lecture 164 Solution 6
Section 28: Day #24 - miscellaneous functions
Lecture 165 Solution 1
Lecture 166 Solution 2
Lecture 167 Solution 3
Lecture 168 Solution 4
Lecture 169 Solution 5
Section 29: Day #25 - linear algebra
Lecture 170 Solution 1
Lecture 171 Solution 2
Lecture 172 Solution 3
Lecture 173 Solution 4
Lecture 174 Solution 5
Lecture 175 Solution 6
Lecture 176 Solution 7
Lecture 177 Solution 8
Section 30: Day #26 - linear algebra
Lecture 178 Solution 1
Lecture 179 Solution 2
Lecture 180 Solution 3
Lecture 181 Solution 4
Lecture 182 Solution 5
Lecture 183 Solution 6
Lecture 184 Solution 7
Section 31: Day #27 - polynomials & system of equations
Lecture 185 Solution 1
Lecture 186 Solution 2
Lecture 187 Solution 3
Lecture 188 Solution 4
Lecture 189 Solution 5
Lecture 190 Solution 6
Lecture 191 Solution 7
Section 32: Day #28 - arrays with characters
Lecture 192 Solution 1
Lecture 193 Solution 2
Lecture 194 Solution 3
Lecture 195 Solution 4
Lecture 196 Solution 5
Lecture 197 Solution 6
Lecture 198 Solution 7
Lecture 199 Solution 8
Lecture 200 Solution 9
Section 33: Day #29 - arrays with characters
Lecture 201 Solution 1
Lecture 202 Solution 2
Lecture 203 Solution 3
Lecture 204 Solution 4
Lecture 205 Solution 5
Lecture 206 Solution 6
Section 34: Day #30 - functional programming & universal functions (ufunc)
Lecture 207 Solution 1
Lecture 208 Solution 2
Lecture 209 Solution 3
Lecture 210 Solution 4
Lecture 211 Solution 5
Lecture 212 Solution 6
Lecture 213 Solution 7
Section 35: Test #2
Section 36: Configuration (optional)
Lecture 214 Info
Lecture 215 Google Colab + Google Drive
Lecture 216 Google Colab + GitHub
Lecture 217 Google Colab - Intro
Lecture 218 Anaconda installation - Windows 10
Lecture 219 Introduction to Spyder
Lecture 220 Anaconda installation - Linux
Lecture 221 Spyder
everyone who wants to learn by doing,everyone who wants to improve their Python programming skills,everyone who wants to improve their NumPy skills,everyone who wants to improve their data science skills,everyone who wants to prepare for an interview