4/6/2023 0 Comments Anaconda prompt pip install![]() ![]() Scipy including pandas, matplotlib, and numpyįitter through pip3 install fitter (check best fitting statistic distribution in scipy.stats) Here is a list of additional useful packages for data analysis: Otherwise, normal users can only manage packages in the local user directory (on Windows: C\Users\USER-NAME\) system packages can only be managed by administrators (on Linux with the sudo command). The -user flag is only required if you are not working in a virtual environment. The environment uses the flusstools pip-package, which provides many useful routines for river analyses. This section guides through the installation of a computational environment that is tailored for working with contents in this eBook. With pip, a virtual environment can be created (typically stored in a venv folder in the working directory). Pipenv or pip environments are Python environments that can be created with Pythons default pip package-management system (default since Python 2.7.9. Only change the default directory for conda environment directories, if you exactly know what you are doing. Note that AppData is a hidden folder ( view hidden folders on Windows). On Windows, the typical installation directory is C:\users\\AppData\Local\Continuum\anaconda3\envs\. The directory is typically named env (or venv for a virtual environment) and Anaconda will control automatically where the environment directories (folders) are stored on your computer. conda environmentsĪ conda environment is a directory on your computer that represents a virtual environment with a particular Python interpreter (e.g., a Python2 or Python3 executable) and packages/libraries. To work with conda environments, the installation of Anaconda is required (no additional installation of Python is necessary in this case). conda environments work well on both platforms (and also with macOS), but pip will not work smoothly on Windows because of an issue with the geospatial GDAL library. For instance, conda environments are preferable on Windows and pip environments on Linux (e.g., Debian/ Ubuntu) platforms. ![]() There are multiple answers to this question and the best option depends, to some extent, on personal preferences and the Operating System ( OS) - also referred to as platform. ![]() So how to deal with the challenge of having multiple Python interpreters (or environments) installed? However, the parallel existence of multiple Python interpreters is sometimes beneficial, for instance, when packages are installed that are not compatible with each other. As consequence packages might have been unintentionally or unknowingly installed for another Python interpreter than used in a project. Python’s two-fold development ( Python2 and Python3) and other parallel versions of Python (e.g., ESRI’s ArcGIS or Nvidia’s cuda Python versions) may cause that multiple versions of Python are installed on your computer (even though Python2 is about to disappear). Reservoir Volume (Sequent Peak Algorithm) Integrated Development Environments (IDEs)ġd Hydraulics (Manning-Strickler Formula) ![]()
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