python& Data analysis & Data Mining--reference books

1, to use Python to do data analysis, first get familiar with the Python language, recommend a primer: stupid method to learn python (learn Python), this book in a very interesting way to explain the basic Python syntax, Ideal for non-computer majors as an introductory book to look at.

2, using Python to do data analysis, recommended with Anaconda, Address https://www.anaconda.com/download/, you can choose the version as needed

3, after the need to add a variety of packages, at the beginning-All programs, open Anaconda prompt, enter the pip install package_name command, run, you can complete the installation, here the Package_ Name is required to install the names of the package, for example, need to install NumPy, you can enter PIP install NumPy, click Enter, you can.

Today encountered a problem, if prompted:

You are using the PIP version 10.0.1, however version 18.0 is available.
You should consider upgrading via the ' python-m pip install--upgrade pip ' command.

If the PIP version is too low, follow the prompts to enter python-m pip install--upgrade pip to upgrade Pip, and then install the required package again.

4, after learning the introductory book, you need to learn how to use Python to do data analysis, recommend a book: using Python for data analysis, this book mainly introduces the data analysis of several commonly used modules: NumPy, pandas, Matplotlib, and data preprocessing required data loading, cleaning, transformation, merging, remodeling, etc., it is recommended to start from the 4th chapter, after reading, then continue to see the first 3 chapters. A lot of new contact people from the beginning to see easily confused, can not see, and then give up.

5, to do data mining must understand the various algorithms of machine learning, I recommend a book is also very famous: machine learning (Zhou Zhihua, Tsinghua University Press), because the cover and book examples of watermelon as an example, so alias Watermelon book.

6, a very good book on text analysis: The beauty of mathematics , writing is very good

python& Data analysis & Data Mining--reference books