Install Matplotlib 1.3.1 Mac
Install TensorFlow 2
TensorFlow is tested and supported on the following 64-bit systems:
|
|
To fix this issue, you need to first install the pip command for python 3.8 ( sudo apt-get install python3-pip), and then run the pip3 command to install all the Scipy packages for python 3.8 ( python -m pip install -user numpy scipy matplotlib ipython jupyter pandas sympy nose). For most Unix systems, you must download and compile the source code. The same source code archive can also be used to build the Windows and Mac versions, and is the starting point for ports to all other platforms. Download the latest Python 3 and Python 2 source. No install necessary—run the TensorFlow tutorials directly in the browser with Colaboratory, a Google research project created to help disseminate machine learning education and research. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. Linux, Mac OS/X and other Unix variants typically have Python pre-installed. However, scientific Python distributions that contain the SciPy Stack include many utilities that Pyomo users will find useful, including SciPy optimizers and MatplotLib plotting capabilities. See SciPy’s list of scientific Python distributions. Install Optimization.
Google Colab: An easy way to learn and use TensorFlow
No install necessary—run the TensorFlow tutorials directly in the browser with Colaboratory, a Google research project created to help disseminate machine learning education and research. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. Read the blog post.
Web developers
Mobile developers
Description
AtomMan: the Atomistic Manipulation Toolkit is a Python library forcreating, representing, manipulating, and analyzing large-scale atomicsystems of atoms. The focus of the package is to facilitate the rapid designand development of simulations that are fully documented and easily adaptableto new potentials, configurations, etc. The code has no requirements thatlimit which systems it can be used on, i.e. it should work on Linux, Mac andWindows computers.
Features:
Allows for efficient and fast calculations on millions of atoms, each withmany freely defined per-atom properties.
Built-in tools for generating and analyzing crystalline defects, such aspoint defects, stacking faults, and dislocations.
Can't Install Matplotlib Mac
Call LAMMPS directly from Python and instantly retrieve the resulting dataor LAMMPS error statement.
Easily convert systems to/from the other Python atomic representations, suchas ase.Atoms and pymatgen.Structure.
Can read and dump crystal structure information from a number of formats,such as LAMMPS data and dump files, and POSCAR.
Built-in unit conversions.