
Python For Data Science
Kevin Clark
The phenomenon, named the fourth industrial revolution, and also known as Big Data, is bringing profound changes to the world we live in. It is still difficult to make accurate predictions of how the phenomenon will affect our lives and our world, but Big Data will change your personal life, your home, your car, your job, your health, your friendships, your diet, your sleep, and your leisure.
Large-scale data, with speed and variety never before imagined makes today's technology difficult to store and process. But what good is a mountain of data if we can't extract value? Behind this phenomenon is electronic data. A few decades ago, this was produced by a few types of equipment and had a high cost of storage; today it is produced everywhere, and the cost of storage is very low, and getting cheaper by the day.
This book provides an introduction to the world of Data Science With Python. It explains analysis techniques using codes and includes over 60 programs that will walk you through Step by Step how to use Python in the world of data science. This hands-on approach makes the presentation much more concrete.
Finally, the readers will have a better grasp of the complexity of Python as we will explore the extensive use of Python libraries, which hide details behind powerful functions. It is a powerful mystery that we can teach you to solve. Now is your chance to get a hands-on approach to data science with Python.
So, what are you waiting for? Buy this audiobook now and start taking steps to learn Python Data Science.
Author - Kevin Clark.
Narrator - Iraaj Majumdar.
Published Date - Sunday, 22 January 2023.
Copyright - © 2019 Kevin Clark ©.
Location:
United States
Description:
The phenomenon, named the fourth industrial revolution, and also known as Big Data, is bringing profound changes to the world we live in. It is still difficult to make accurate predictions of how the phenomenon will affect our lives and our world, but Big Data will change your personal life, your home, your car, your job, your health, your friendships, your diet, your sleep, and your leisure. Large-scale data, with speed and variety never before imagined makes today's technology difficult to store and process. But what good is a mountain of data if we can't extract value? Behind this phenomenon is electronic data. A few decades ago, this was produced by a few types of equipment and had a high cost of storage; today it is produced everywhere, and the cost of storage is very low, and getting cheaper by the day. This book provides an introduction to the world of Data Science With Python. It explains analysis techniques using codes and includes over 60 programs that will walk you through Step by Step how to use Python in the world of data science. This hands-on approach makes the presentation much more concrete. Finally, the readers will have a better grasp of the complexity of Python as we will explore the extensive use of Python libraries, which hide details behind powerful functions. It is a powerful mystery that we can teach you to solve. Now is your chance to get a hands-on approach to data science with Python. So, what are you waiting for? Buy this audiobook now and start taking steps to learn Python Data Science. Author - Kevin Clark. Narrator - Iraaj Majumdar. Published Date - Sunday, 22 January 2023. Copyright - © 2019 Kevin Clark ©.
Language:
English
Chapter 1
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Chapter 2
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Chapter 3
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Chapter 4
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Chapter 5
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Chapter 6
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Chapter 7
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Chapter 8
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Chapter 9
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Chapter 10
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Chapter 11
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Chapter 12
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Chapter 13
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Chapter 14
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Chapter 15
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Chapter 16
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Chapter 17
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Chapter 18
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Chapter 19
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Chapter 20
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Chapter 21
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Chapter 22
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Chapter 23
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Chapter 24
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Chapter 25
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Chapter 26
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Chapter 27
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Chapter 28
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Chapter 29
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Chapter 30
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Chapter 31
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Chapter 32
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Chapter 33
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Chapter 34
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Chapter 35
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Chapter 36
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Chapter 37
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Chapter 38
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Chapter 39
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Chapter 40
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Chapter 41
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Chapter 42
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Chapter 43
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Chapter 44
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Chapter 45
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Chapter 46
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Chapter 47
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Chapter 48
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Chapter 49
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Chapter 50
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Chapter 51
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Chapter 52
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Chapter 53
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Chapter 54
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Chapter 55
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Chapter 56
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Chapter 57
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Chapter 58
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Chapter 59
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Chapter 60
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Chapter 61
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Chapter 62
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Chapter 63
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Chapter 64
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Chapter 65
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Chapter 66
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Chapter 67
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Chapter 68
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Chapter 69
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Chapter 70
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Chapter 71
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