I downloaded numpy1.9.0 but there is no EXE file in the package, how should I install it?
Numpy must be compiled for your system. You'll have to use a compiler to compile it if you want to use it from a download of the source code.
For compatibility with your system and other related or dependant packages, I recommend using a prepackaged distribution. (I get most of the Python data stack on Ubuntu with sudo apt-get install python-statsmodels.) For people with Windows who come to our Python meetup group and who have trouble installing things, we typically recommend getting the Python data stack distribution, Anaconda, from Continuum Analytics which will include Numpy. This link should take you to the versions for Python 3.4.
I would much rather you get everything you're likely to need at once as opposed to installing piecemeal different packages from various sources that may not work well together. If you just install Numpy, you're likely to want other packages that depend on it later, which is likely to give you problems if you're not using a package manager. I am unaware of a package manager for Windows, and it's probably out of scope to look for one.
(Disclaimer, Continuum Analytics sometimes sponsors and provides speakers for our meetup group, but I'm just a volunteer, and otherwise unconnnected to them.)
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I just got a new computer, and I was installing some Python libraries. When I tried to install numpy, I got a message on the console saying numpy was already downloaded. I went into the library folder, and not only was numpy there, but scipy, matplotlib, and a bunch of other libraries as well. How is this possible, considering this computer is brand new? I had installed Python the previous evening, so does installing Python automatically install these libraries as well?
It depends on which Python package you install.
On any desktop oriented Linux distribution, installing the Python package will only install Python. And in practice, it is generally already installed.
On Windows (and perhaps OS X), you need to pick a Python bundle somewhere. Perhaps did you choose Anaconda, which AFAIK installs a lot of common Python libraries (as opposed to its light version Miniconda).
Python does not ship with these libraries unless you are using a pre-packaged distribution such as Anaconda.
If you copied your data from your previous computer to this one, you may have copied the python installation (and thereby the libraries you had installed before) in your appdata folder.
Another possibility is that you have install Anaconda, which is targeted especially at scientific things, and comes with numpy, scipy and some other things preinstalled.
Although this is not the place for these types of questions, yes, there is no need to install libraries, as most of the times when you download Python in a distribution, such as Anaconda, they are also included.
Recently I have started programming in Python (Python 3.5) on my Linux OS. But I am confused about Anaconda. What is it actually? Is it a version of Python or something else? If I do not install Anaconda will there be any limitations?
Anaconda is a free and open-source Python distribution and collection of hundreds of packages related to data science, scientific programming, development and more. Python is included in the Anaconda distribution. It is not an IDE (like PyCharm that mentioned in the comments) though it can be configured with most IDEs. I will note that the distribution includes an IDE called Spyder. It also comes with a platform-agnostic package manager called conda.
You can read more here: https://docs.continuum.io/anaconda/
Anaconda is a popular Python data science platform.
Anaconda is a commercial open source distribution of:
Python and R programming languages for large-scale data processing, predictive analytics, and scientific computing, that aims to simplify package management and deployment.
Also, you can very well install Anaconda for any operating system i.e linux or windows. They have navigator which will be of great use to launch modules available.
Anaconda while installing asks Python version :
Find more about anaconda at :
Official Website
Anaconda Docs
Anaconda distribution has been on my computer for last 2 years, on & off, so I feel that I have some experience using it.
Anaconda tries to be a Swiss army knife, and the fact remains, everything that is available with anaconda, can be manually installed using PIP.
If you're a beginner, and don't intend to do some comprehensive stuff in data science/ML field, I don't see any reason that you will need to install Anaconda. If you still want to have conda on your machine, go for it, but if you have python pre-installed, remove it first, and then use conda. (Otherwise you'll have to be specific and observant of where is it that the new python packages being installed on your computer.)
Conda dist. usually occupies 2-4 GB of space very easily.(There is a light installer known as miniconda, but it too goes on to consume memory considerably)
When you use conda command to install a python package, it usually pulls additional (maybe unnecessary for a beginner) packages along with it, thus consuming more & more space on your device. So, if your machine is slow and you have less space, Anaconda is a big NO-NO for you.
Anaconda (IMHO) is a finely tuned hype in the internet space of beginner python users.
And even if you have sufficient memory and a capable device, I don't find why should you spend that for things that you may never use. Unless you have a significant benefit when doing so, which could be more pronounced for those in a professional environment.
There are ways to bulk install everything you need using PIP, And PIP only installs what we demand/command from the terminal, nothing additional stuff, unless we ask for it.
Also, keep in mind, if you want to do data science, ML, Deep learning things, go for 64-bit version of python, so that every module you need can be installed without countering errors.
Anaconda is nothing but a python and R distribution. If you are working on Machine learning or data science field, tou will find anaconda very useful. So installing anaconda will also install python, conda(which is a package manager in anaconda), a lot of third party python packages, an IDE(like spyder), jupyter notebook(which is very helpful to write codes and visualise results and run codes cell by cell) . However, if tou are just a beginner, installing only python would be enough. Python will have certain standard libraries that will be installed along with it. And when u need new packages, you can use pip to install them.
P.s. if you have low memory space and u are just beginning, anaconda is a no no as it will have many packages installed by default, which u might not use. But installing python requires less memory and when u need a third party library, u can use pip to install libraries.
I am using openSUSE Leap 42.1 and do some data analysis work in python. Most of the python packages I use are available in the standard openSUSE repositories (e.g. obs://build.opensuse.org/devel:languages:python); however sometimes they aren't, whereas they are available in Anaconda. I would like to replace all of the python packages installed on my computer with those available through Anaconda.
Is it possible to just install Anaconda in parallel with the normal openSUSE packages or should I manually delete the packages I've installed? I know python is used heavily throughout the operating system so I probably don't want to deep clean the system of python before going the Anaconda route.
Has anyone done this before? I was unable to find any info on this on the Anaconda site, and I'm curious if there is a clean way to do this.
I read the anaconda documentation, and there is no evidence of anaconda packages replacing your openSUSE packages. There isn't a reason for it to do so. If I got it right, then Conda is very similar to ruby's gem and similar tools, which definitely don't replace the installed packages. I think you can feel free to install it next to your current packages. Also, you can specify the python and python package version in the anaconda envinroments, which is another thing which it allows you to do, so you can decide what you will use there. Note, I'm not a conda user, this is how I understood the docs. Hope this helps.
I am trying to install numpy for python 2.7, I've downloaded the zip, unzipped it and was expecting a Windows download file (.exe), but there isn't one.
Which of these files do I use to install it?
I tried running the setup.py file but don't seem to be getting anywhere.
Thanks!!!
There is .exe file in SourceForge. This is this link below:
http://sourceforge.net/projects/numpy/files/NumPy/1.9.1/numpy-1.9.1-win32-superpack-python2.7.exe/download
Python on Windows, including rather complex science/math/statistics package builds? It should just work? Seriously, use a third-party distribution! There are plenty and they only exist as of the hassle you were observing.
While the other two answers are "okay", it would recommend another approach. Especially for the common Windows user the following approach is easy to maintain and easy to reproduce.
Let me quote from the SciPy website:
For most users, especially on Windows and Mac, the easiest way to
install the packages of the SciPy stack is to download one of these
Python distributions, which includes all the key packages:
[a list of Python distributions]
As you can see, people having experience with this topic tend to recommend using a third-party Python distribution.
I have so far used ActivePython, but Anaconda also appears to be a well-maintained project.
Whichever you take: it comes as a nice Windows installer and will give you a seamless Python experience.
You can find a very well maintained list of Python Libraries (including numpy) for Windows at this Homepage: http://www.lfd.uci.edu/~gohlke/pythonlibs/
Wasted a lot of time trying to install on Windows from various binaries and installers, which all seemed to install a broken version, until I found that this worked: navigate to the python install directory and do python .\site-packages\pip install numpy
Our command line utility is written with Python.
On Linux/OS X this is usually not a problem since both come with Python 2.x pre installed. However on Windows, Python isn't installed by default.
Additional problem is that few of our dependencies require compiling which yet again is not a trivial problem for Windows users since it requires tinkering with MSVC/Cygwin/etc'.
Up until now we solved this issue by using Pyinstaller to create "frozen" Python package with pre-installed dependencies. This worked well, however made our utility non extendable - we cannot add additional Python modules by using utilities such as pip for example. Since our CLI depends on this ability in order to add additional usability, this limitation became a blocker for us and we would like to rethink our approach.
Searching around, I found how Rhodecode solve this. Basicly their installer brings Python and everything else (including pre-compiled dependencies).
This seem as a good idea for us, the only limitation I see here is that their installer actually installs Python from .msi which puts stuff in Windows Registry. So there can be only one Python of version X.Y installed on Windows (from .msi)
For a server application this might be reasonable since server application tends to act like it's the only thing installed on the PC, but for command line utility, this is completely unacceptable.
Looking around I found few projects that claim to make Python portable - for example Portable Python. However I'm not sure how "portable" it really is, especially after issues like this.
So questions are:
Is it possible to install same Python version multiple times on Windows without creating collisions between the instances?
Would you choose other workaround to solving this problem (please no "smart" solutions such as: drop Windows support/don't use Python)
Thanks!
Frankly I would stick with PyInstaller or something similar. That will always provide you with the correct version of Python whether or not the target machine has Python installed. It also protects you from clobbering a previously installed version of Python.
If you need to add plugins, then you should build that into your app. There are a few projects that might help you with that. Here are a couple of examples:
http://yapsy.sourceforge.net/
https://pypi.python.org/pypi/Plugins/
You might also take a look at how Django or Flask handles extensions. For example, you can add an extension to Flask to allow it to work with SQLAlchemy. You should be able to do something similar with your own application. The pip utility won't work with a frozen application after all. Alternatively, have you looked at conda? It might work for your purposes.
This is an answer for my second question, sadly I still haven't figured out a better solution for number 1.
For now here's how we changed our approach for creating setup file:
We package our code and its dependencies as set of pre-built Python wheels. It's relatively easy to create pre-built wheels on Windows since the release of Visual C++ compiler for Python2.7.
We package Python setup MSI together with Pip, Setuptools and Virtualenv wheels.
Before install starts we check whether Python, Pip and Virtualenv are already installed (by looking in the registry and \Scripts), if it's not, we install it from the packaged wheels. Pip wheel is installed by using get-pip.py script which we bundle as well.
We create separate Virtualenv and install our wheels into it.
Uninstall is done by removing the virtualenv folder. Python, Pip and Virtualenv install are left behind.
Installer created by Inno Setup.
I'm still not fully satisfied with this solution since some components are globally installed and might collide with what user had already installed before (older/newer version of python, pip, setuptools or virtualenv). This creates potential for unpredictable bugs during install or runtime. Or the possibility for user to upgrade one of the components in the future and somehow break the application.
Also, uninstall is dirty and leaves stuff behind.