![]() For example, you might use Python 3.5 as your default distribution, but sometimes you would switch to Python 2 for some rare cases.Īnaconda comes with a graphical launcher that you can use to manage environments, install packages, start IPython, etc. You can find more details from Īll these stuff can be realized through conda command. Managing EnvironmentsĪnaconda can help create different isolated Python environments. On Windows, you are recommended not automatically add Anaconda to your system path, instead you can manually add ANACONDA_HOME with value of ‘C:\User\ your_user_name\ AppData\Local\Continuum\anacondX’ to the user varaibles and %ANACONDA_HOME% %ANACONDA_HOME%\Scripts %ANACONDA_HOME%\ Library\bin to the user path variable.Īnaconda comes with a package manager named conda, which lets you manage your Python distributions and install new packages. You might want to put Anaconda to your system path, so it will use Anaconda’s Python as the default python distribution. Downloading and Installingĭownload the right installer for your OS type (Window, OSX, Linux), OS version(32- or 64 bit), and Python version(2.7 or 3.5)įollow the instructions to install Anaconda If you did not start to use it yet, I highly recommend you a try. In this post, I describe some basic knowledge on Anaconda I have learned through my experience. Anaconda not only comes with various packages that I would like to use, such as NumPy, SciPy, matplotlib, pandas, scikit-learn, and Jupyter/IPython, but also provides more functionalities, like creating and managing environments, installing and updating packages, and so on. I decide to give Anaconda (by Continuum Analytics) a try, what it provides far exceed my expectation and I feel guilty did not try it earlier.Īnaconda is a free, cross-platform, and easy-to-install all-in-one analytic/scientific Python platform. Jupyter Notebook is an increasingly popular system that combines your code, descriptive text, output, images, and interactive interfaces into a single notebook file that is edited, viewed, and used in a web browser.As more and more Python packages I need to install for my daily work and learn, I get tired of searching and installing individual packages, especially on my Window system, like what I did in how to install scientific Python packages on Windows. You can also use Jupyter Notebook the same way. From the Navigator Home page, click the Spyder tile, and use the Spyder interface that opens to write and execute your code. What applications can I access using Navigator?įor information on what applications are available by default in Navigator, see Home page.Īdvanced conda users can also build their own Navigator applications. You can use it to find the packages you want, install them in an environment, run the packages, and update them – all inside Navigator. Navigator is a graphical interface that enables you work with packages and environments without needing to type conda commands in a terminal window. This helps data scientists ensure that each version of each package has all the dependencies it requires and works correctly. The CLI program conda is both a package manager and an environment manager. ![]() Data scientists often use multiple versions of many packages and use multiple environments to separate these different versions. In order to run, many scientific packages depend on specific versions of other packages.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |