Personal Python commonly used Package and its installation, pythonpackage
In order to avoid turning to the west each time you reinstall the system, record the commonly used Python package installation process.
1) Python: 2.7.11, www.python.org. Because I personally like to use PyQt4 (in fact, not PyQt5 ......), Therefore, install Python2.7.
After installing Python, remember to add D:/Python27 and D:/Python/Scripts to the Path of the system environment variable.
Open the windows cmd window and enter pip installPackageInstall the corresponding package, such as pip install numpy.
View installed packages through pip list, and delete the packages, you can enter pip uninstallPackage.
2) packages that can be installed using pip:
A) numpy: data processing;
B) matplotlib: data visualization;
C) pandas: data analysis;
D) pyserial: Serial Communication (Note: pyserial installed using pip is version 3, whereas pyserial can only be used on WinXP );
E) cx_freeze: Pack py into an exe file.
3) packages that cannot be installed using pip:
A) PyQt4: interface development;: https://www.riverbankcomputing.com/software/pyqt/download. install the exefile in double steps after downloading it;
B) scipy: scientific computation;: http://www.lfd.uci.edu /~ Gohlke/pythonlibs/, download the corresponding version, such as: scipy-0.17.1-cp27-cp27m-win32.whl, installed in pip mode, such as: pip install scipy-0.17.1-cp27-cp27m-win32.whl;
C) pyserial: Serial Communication (for WinXP);: http://www.lfd.uci.edu /~ Gohlke/pythonlibs/, download the corresponding version, such as: pyserial-2.7-py2-none-any.whl, also install Through pip command.
4) Development Environment:
PyCharm: www.jetbrains.com.