Learning a language is a constant practice, Python is currently used for data analysis of the most popular language, I recently bought a book "Data analysis Using Python" (Wes McKinney), but also to the library to borrow this "Python Data analysis Basic Tutorial--numpy study Guide" (second edition), ready to the Python data analysis tool door into the haha, gossip less, directly into the topic.
First, "Data analysis using Python," the translator strongly recommended that the computer environment configuration is best consistent with the book, so I found a half-day book on the requirements of the installation package
First, install the 32-bit Epdfree (the book version is 32-bit), if the computer has python2.7 to remove the installation, download link: http://downloads.informer.com/epdfree-7-3-2/
Second, install the corresponding version pandas; Download Link: https://pypi.python.org/pypi/pandas/0.9.0/#downloads
Third, install Ipython;
Epdfree use python2.7 on your computer by default. After the installation is complete, in the properties---advanced system settings---Environment variables---path add two paths C:\Python\ and C:\Python27\Scripts\ so that you can use Python2.7 on the command line
After installing Pandas and Epdfree, open experiment with Ipython to see if pandas can draw
Use the following instructions to check if the Ipython HTML notebook is installed successfully
Ipython Notebook--pylab=inline
It worked
Let's start with the practice and learn about Python data analysis.
Python Learning (iii) data analysis using Python (1)---preparation