You should use pip's list command with grep, that only lists installed packages (not all modules and their neighbours as well): pip list grep -F packagenameIf packagename matches multiple installed packages e.g. Searching for boto when botocore is also installed, then using -w instead of -F can help, as @TaraPrasadGurung suggests. This doesn't list the exact package, as -w sees characters common in package names as word boundaries. So if you you have requests and requests-cache installed or ruamel.yaml and ruamel.yaml.cmd` and need exactly one line of output you need to do something like: pip list -disable-pip-version-check grep -E '^ruamel.yaml 'Please note that since. Matches any character when using -E, you need to escape it.¹¹ And yes that is necessary as there is a package. Not every package manager is pip compatible when dealing with namespace packages.
You can also use something like this in your scripts. Python -c 'import sys, pkgutil; sys.exit(0 if pkgutil.findloader('$Package') else 1)'What you'd get when a package is not installed. Package=psutilpython3 -c 'import sys, pkgutil; sys.exit(0 if pkgutil.findloader('$Package') else 1)'echo $?1What you'd get when a package is installed.
Package=requestspython3 -c 'import sys, pkgutil; sys.exit(0 if pkgutil.findloader('$Package') else 1)'echo $?0Works in python2 and python3, and then you install based on the exit code. I used a slightly stricter version of Anthon's answer, for use in a script: pip3 list grep -v '^Package.Version$' grep -v '^-.$' cut -d ' ' -f 1 grep -xF '$packagename'The first two greps are intended to strip the header lines from pip3's output.The cut then selects only the package names (discarding the version numbers).Then the final grep can perform an exact search for the relevant $packagenameIf the package is found, it will display the package name, and return with exit code 0. If you don't want to see the package name, end the command with /dev/null.
Installing PackagesThis section covers the basics of how to install Python.It’s important to note that the term “package” in this context is being used asa synonym for a (i.e. A bundle ofsoftware to be installed), not to refer to the kind of that you import in your Python source code (i.e. A container ofmodules).
Check Installed Modules In Python
It is common in the Python community to refer to a using the term “package”. Using the term “distribution”is often not preferred, because it can easily be confused with a Linuxdistribution, or another larger software distribution like Python itself. Python “Virtual Environments” allow Python to be installed in an isolated location for a particular application,rather than being installed globally. If you are looking to safely installglobal command line tools,see.Imagine you have an application that needs version 1 of LibFoo, but anotherapplication requires version 2. How can you use both these applications? If youinstall everything into /usr/lib/python3.6/site-packages (or whatever yourplatform’s standard location is), it’s easy to end up in a situation where youunintentionally upgrade an application that shouldn’t be upgraded.Or more generally, what if you want to install an application and leave it be?If an application works, any change in its libraries or the versions of thoselibraries can break the application.Also, what if you can’t install into theglobal site-packages directory? For instance, on a shared host.In all these cases, virtual environments can help you.
They have their owninstallation directories and they don’t share libraries with other virtualenvironments.Currently, there are two common tools for creating Python virtual environments:. is available by default in Python 3.3 and later, and installsand into created virtual environments inPython 3.4 and later. needs to be installed separately, but supports Python 2.7+and Python 3.3+, and, and arealways installed into created virtual environments by default (regardless ofPython version).The basic usage is like so:Using. Virtualenv source / bin / activateFor more information, see the docs or the docs.In both of the above cases, Windows users should not use thesource command, but should rather run the activate script directlyfrom the command shell. The use of source under Unix shells ensuresthat the virtual environment’s variables are set within the currentshell, and not in a subprocess (which then disappears, having nouseful effect).Managing multiple virtual environments directly can become tedious, so theintroduces ahigher level tool, that automatically manages a separatevirtual environment for each project and application that you work on.
Pip install - user SomeProjectFor more information see the sectionfrom the pip docs.Note that the -user flag has no effect when inside a virtual environment- all installation commands will affect the virtual environment.If SomeProject defines any command-line scripts or console entry points,-user will cause them to be installed inside the ’s binarydirectory, which may or may not already be present in your shell’sPATH. (Starting in version 10, pip displays a warning wheninstalling any scripts to a directory outside PATH.) If the scriptsare not available in your shell after installation, you’ll need to add thedirectory to your PATH:. On Linux and macOS you can find the user base binary directory by runningpython -m site -user-base and adding bin to the end.
For example,this will typically print /.local (with expanded to the absolutepath to your home directory) so you’ll need to add /.local/bin to yourPATH. You can set your PATH permanently by. On Windows you can find the user base binary directory by running py -m site -user-site and replacing site-packages with Scripts. Forexample, this could returnC:UsersUsernameAppDataRoamingPython36site-packages so you wouldneed to set your PATH to includeC:UsersUsernameAppDataRoamingPython36Scripts. You can set your userPATH permanently in the. You may need to log out for thePATH changes to take effect. $ pip install SomePackagePDF$ pip install SomePackagePDF3.0$ pip install -e.PDF3.0 # editable project in current directory“Secure” in this context means using a modern browser or atool like curl that verifies SSL certificates when downloading fromhttps URLs.Depending on your platform, this may require root or Administratoraccess.
Is currently considering changing this by.Beginning with Python 3.4, venv (a stdlib alternative to) will create virtualenv environments with pippre-installed, thereby making it an equal alternative to.The compatible release specifier was accepted inand support was released in v8.0 andv6.0.
List Python Modules Installed
Modules, Packages, and all thatOne of the key features of Python is that the actual core language is fairlysmall. This is an intentional design feature to maintain simplicity. Much ofthe powerful functionality comes through external modules and packages.The main work of installation so far has been to supplement the core Pythonwith useful modules for science analysis.ModuleA is simply a filecontaining Python definitions, functions, and statements. Putting code intomodules is useful because of the ability to the modulefunctionality into your script or IPython session, for instance. Import astropy import astropy.table data = astropy.
Read ( 'mytable.fits' )You’ll see import in virtually every Python script and soon it will besecond nature. Question: Importing modules and putting the module name in front is such a bother,why do I need to do this? Answer: It keeps everything modular and separate. For instance many modules have aread function since this is a common thing to do. Without using the.(.) syntax there would be no way to know which oneto call. From astropy.table import. data = Table ( 'mytable.fits' )A general rule of thumb is that from import.
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is OK forinteractive analysis within IPython but you should avoid using it withinscripts.PackageA is just away of collecting related modules together within a single tree-likehierarchy. Very complex packages like or have hundreds ofindividual modules so putting them into a directory-like structure keeps thingsorganized and avoids name collisions. For example here is a partial listof sub-packages available within scipy.fftpackDiscrete Fourier Transform algorithmsscipy.statsStatistical Functionsscipy.libPython wrappers to external librariesscipy.lib.blasWrappers to BLAS libraryscipy.lib.lapackWrappers to LAPACK libraryscipy.integrateIntegration routinesscipy.linalgLinear algebra routinesscipy.sparse.linalgSparse Linear Algebrascipy.sparse.linalg.eigenSparse Eigenvalue Solversscipy.sparse.linalg.eigen.arpackEigenvalue solver using iterative methods.
If supplied with a package name then it will query the PyPI site to find out aboutthat package. Assuming the package is there then pip install willautomatically download and install the package. Will accept a local tar file (assuming it contains an installable Python package) or a URLpointing to a tar file. Can install in the user package area via pip install -user (but see discussion further down)python setup.py installSome packages may fail to install via pip install.
Most often there willbe some obvious (or not) error message about compilation or missingdependency. In this case the likely next step is to download the installation tarfile and untar it. Go into the package directory and look for files like. WITHOUT -userIf you use Anaconda or a non-root Python installation then there is no issuewith permissions on any platform since the entire installation is local to adirectory you own.However, installing to a system-wide Python installation will require root oradmin privilege. Installing this way has the benefit of making the packageavailable for all users of the Python installation, but has the downside thatit is more difficult to back out changes if required. In general we recommendusing only the system package manager (e.g.
Yum) to install packages tothe system Python. This will ensure integrity of your system Python, which isimportant even if you are the only user. $ pythonPython 2.2 (#11, Oct 3 2002, 13:31:27)GCC 2.1 (Red Hat Linux 7.3 2.96-112) on linux2Type 'help', 'copyright', 'credits' or 'license' for more information. import sys sys.path', '/usr/local/lib/python2.3', '/usr/local/lib/python2.3/plat-linux2','/usr/local/lib/python2.3/lib-tk', '/usr/local/lib/python2.3/lib-dynload','/usr/local/lib/python2.3/site-packages'Within a script it is possible to adjust the search path by modify sys.pathwhich is just a Python list. Generally speaking you will want to put your pathat the front of the list using insert. Installing within each PythonNow that you know about all the great packages within our Scientific Pythoninstallation, you might want to start using them in your PyRAF or CASAor CIAO analysis.If you start digging into Python you will likely come across the technique ofsetting the PYTHONPATH environment variable to extend the list of searchpaths that Python uses to look for a module.
Let’s say you are using CIAOPython and want to use SciPy functions. You might be tempted to setPYTHONPATH to point to the directory in EPD where the SciPy modules live.This will fail because the EPD Python modules were compiled and linked assumingthey’ll be run with EPD Python. With effort you might find a way to make thiswork, but in general it’s not a workable solution.What will often work is to follow the package installation procedure foreach desired package within each Python installation. This assumes that youhave write permission into the directories where the analysis package fileslive.
WarningThis technique is prone to breaking things in strange ways and we do notrecommend it.The first rule is that they need to be the same major version, i.e. All 2.6 or2.7. This is because Python always includes a major version likepython2.6/ in the default search path so Python 2.7 will never find 2.6packages.
The second rule is to install packages using the -user optionin pip install or setup.py install. This results in the situationshown below where each Python can find common packages in the local user area:Be sure to test that the package you installed works within the other Pythonenvironments.