• Python Data Science

  • The Ultimate Handbook for Beginners on How to Explore NumPy for Numerical Data, Pandas for Data Analysis, IPython, Scikit-Learn and Tensorflow for Machine Learning and Business
  • By: Steve Blair
  • Narrated by: Clay Willison
  • Length: 3 hrs and 21 mins
  • 4.9 out of 5 stars (27 ratings)

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Publisher's Summary

If you’re tired of licensing third-party software for data analysis, Python Data Science will help you do it for yourself!

Recently, more and more companies are learning that they need to make data-driven decisions. And with big data and data science on the rise, we now have more data than we know what to do with.

In fact, without a doubt, you have already experienced data science in one way or another. Obviously, you are interacting with data science products every time you search for information on the web by using search engines such as Google, or asking for directions with your mobile phone.

Data science is the science and technology focused on collecting raw data and processing it in an effective manner. It is the combination of concepts and methods that make it possible to give meaning and understand ability to huge volumes of data.

Data science has been the force behind resolving some of our most common daily tasks for several years. In nearly all of our daily work, we directly or indirectly work on storing and exchanging data. With the rapid development of technology, the need to store data effectively is also increasing. That's why it needs to be handled properly. Basically, data science unearths the hidden insights of raw-data and uses them for productive output.

Python is often used in data science today because it is a mature programming language that has excellent properties for newbie programmers. Some of the most remarkable of these properties are its easy to read code, suppression of non-mandatory delimiters, dynamic typing, and dynamic memory usage. Python is an interpreted language, and it can be executed in the Python console without any need to compile to machine language.

Python Data Science teaches a complete course of data science, including key topics like data integration, data mining, python etc. We will explore NumPy for numerical data, Pandas for data analysis, IPython, Scikit-learn and Tensorflow for machine learning and business.

Each of the sections in this audiobook is devoted to one of the most interesting aspects of data analysis and processing. The following are some of the major topics covered in Python Data Science:

  • Understanding Data Science
  • Getting Started with Python for Data Scientists
  • Descriptive statistics
  • Data Analysis and Libraries
  • NumPy Arrays and Vectorized Computation
  • Data Analysis with Pandas
  • Data Visualization
  • Data Mining
  • Classifying with Scikit-learn Estimators
  • Giving Computers the Ability to Learn from Data
  • Training Machine Learning Algorithms

The Python ecosystem for data science discussed within Python Data Science includes SciPy, NumPy, Matplotlib, Pandas, and Scikit-learn, which provides all of the data science algorithms.

Data processing and analysis is one of the hottest areas of IT, where developers who can handle projects of any level, from social networks to trained systems, are constantly required. We hope this audiobook will be the starting point for your journey into the fascinating world of data science.

To get started on your Python adventure, just get this audiobook now.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2019 Steve Blair (P)2019 Steve Blair

What listeners say about Python Data Science

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Good material, not so good performance

The material is good for someone new to data science but the performance is not so good specially when reading code.
The accompanied PDF is not consistent with the narrative.
The book is using Python 2 which is outdated.

1 person found this helpful

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Excellent

This is excellent...I'm only half-way through but can say that this book has already been worth its price just for the chapters on Matplotlib and pandas which are a model of clarity and full of clever insights

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This is an excellent book Python Data Science

This is an excellent book for anybody who is interested in quantitative work with Python. In-depth coverage of NumPy, Pandas, MatPlotLib, and SciKit-Learn. What more could you want?

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Excellent book for those who have a scientific

That is a really good book for those who have a scientific mindset. It was not easy for me to understand NumPy - it's quite different from Python itself.

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You should buy this book.

This is a fantastic book. You definitely want to read it with one hand on your keyboard, following along with the examples.

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Good, must buy!

Very good comprehensive data analysis book. Buy, buy it now! I found this one to be the most complete and concise of the lot.Great for Learning.

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good info

I have been searching for a book like this for months to learn the special stuff on it. Totally worth the deal, the price of a meal for an enormous amount of ML knowledge. Best purchase of the O'Reilly series.

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Good book overall

Good book overall. Pretty high level material and good for reference.This book is a must for every data scientist.

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All the information

Great book for learning how to work with and manipulate data in Python!
This book is an amazing resource for anyone getting into machine learning in python. The language has great tools for working with data and it's important to know those tools to get the most out of your time and effort. If you're familiar with computer programming in other languages this is a perfect book to learn what all is going on under the hood in python and how you can use it's tools to accomplish what you want.

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Excellent coverage of data science

The book is just great - amazing combination of details and brevity. I had programming experience but no experience with Python at all before I started reading this book. Very good fit for my qualification. Recommended for everyone who is going to start a new way into Data Science using Python.