best python packages

Installation methods are similar in each environment, I use the Windows system, after installing Python, the Python installation directory and the installation directory under the scripts directory to join the environment variable PATH variable, if only one system user to use Python, System variables or user variables are available.Take the Ipython package as an

Python pip installation is the principle of download from the official Python source Https://pypi.python.org/pypi to the local installation, but access to the official source network is unstable, slow, I often encounter a problem, PIP installation package because of the slow speed, After a while, the installation time-out, the installation failed! Later I used the watercress source to install the

NumPy is the foundation of numerous scientific software packages in Python. It provides a special data type Ndarray, which is optimized for vector computing. This object is the core of most algorithms in scientific numerical computation. Compared to native Python, the use of numpy arrays can achieve significant performance acceleration, especially if your calcul

will not attempt to search for the optimized versions of these libraries under other paths, at which point the compilation script uses its own linalg/ Lapack_lite Meshrecorded by the non-optimized implementation of the compilation of the dynamic library lapack_lite.so for the upper layer of the Python application callIn summary,whether NumPy relies on lapack and Atlas libraries, the main impact is its performance, and its functionality is unaffected.

a __init__.py file under this folder, 3. Place script files, compiled extensions, and child packages 4. Import pack.m1, pack.m2, pack.m3 , as needed Demo: Create a new pack.py file, if we want to reuse the function operation in calculator3.py, then you can create a new folder in the directory where the calculator3.py is located, if the name For bag, create a new __init__.py file in the Bag folder (must have), the content can be empty, the need to imp

ArticleDirectory Module Package Module A. py file is a python module. Package Put a bunch of related Python modules in a directory, and add a _ init _. py file to form a pythonPackages. Python packages can be nested. After nesting, it is a bit like a Java package. The _ init _. py file can be empty. H

Anaconda does bring a lot of convenience, but it has also relied too much on the ability of Conda to download Python packages with one click. This is not, these days suddenly to use FASTFM this package, helpless Conda not, so can only download down from GitHub, to achieve local installation.Here are the manual download and installation steps:One, download from GitHub:Select releases , you will see a series

At the beginning of the Python stage, most of the calls to functions, classes, modules, and packages are not very clear, and this essay simply explains them.? (1) functionWhen the function is well defined, it can be called directly.For example:def summ (ADD1,ADD2), then can be called directly, namely:Summ ()(2) classAfter a class is defined, it cannot be called directly as a function, but requires an indire

1.numpy Package: From "Doing scientific calculations with Python" http://sebug.net/paper/books/scipydoc/numpy_intro.html (Chinese version) From Turing Community: http://www.ituring.com.cn/minibook/804 (Chinese version) From Scipy:http://wiki.scipy.org/tentative_numpy_tutorial (English version) 2.pandas Package: Official website: http://pandas.pydata.org/pandas-docs/stable/index.html 10 minutes Pandas (from offic

The following are common software packages developed by Python. Name Use Installation commands Opengl sudo pip3 install Pyopengl Pyqtgraph GUI Graphics Library sudo pip3 install Pyqtgraph Matplotlib Drawing Library sudo pip3 install matplotlib

:/atlas's installation directory/atlas/libInclude_dirs =/usr/local/include:/atlas's installation directory/include[Blas_opt]Libraries = F77blas, Cblas, Atlas[Lapack_opt]Libraries = Lapack, F77blas, Cblas, Atlas[AMD]Amd_libs = AMD[Umfpack]Umfpack_libs = UmfpackNext configure the type of FORTRAN compiler required to install NumPy:If the previously obtained Fortran compiler is Gfortran, execute: python setup.pybuild--fcompiler=gnu95If the previously obta

First, what is the moduleA module is a way to organize your code, and a package is the way you organize your modules.Common scenario: A module is a file that contains Python definitions and declarations, and the file name is the suffix of the module name plus the. Py.In fact, the import loaded module is divided into four general categories:1 code written using Python (. py file)2 C or C + + extensions that

First, the module imports with importcal.py:# !/usr/bin/python def Add (x, y ): return x+yif__name__'__main__': Print Add (+)Note: __name__ is a built-in variable and is a file name if the value is called __mail__ directly in the CLI.Import in new.py:Import Cal print cal.add (2,3);II. Packages: Modules organized by directory name1. Create a folder with the name of the package name2. Create a __init__

This article discusses Python's from Import * and from Import *, how they execute and why using this syntax (perhaps) is a bad idea. import all from one module from import * means means "I want to have access to all the names I have access to." For example, the following code something.py: # something.py public_variable = 42_private_variable = 141 def public_function (): print ("I ' m a public function! yay! ") Def _privat

The installation packages and installation processes of various Python libraries for Windows are developed using Python (in Windows) and may encounter third-party libraries that need to install a certain version. for future search and installation convenience, the following is a summary: Windows version of the various P