Developers can work efficiently with all of these scientific libraries by providing interactive graphs, deep core insight, even array viewers provided by the IDE. It supports some widely used scientific libraries for Python such as NumPy, anaconda, matplotlib, etc. P圜harm further helps programmers to use Python more efficiently in big data and data science projects as well. They can extend the IDE by using multiple plugins available to meet their complex project requirements. The developers can even customize the P圜harm UI according to their specific needs and preferences. And at the same time, the tools and the features provided by P圜harm help programmers write various software applications in Python very quickly and efficiently. In addition to supporting different Python versions, P圜harm is also compatible with Windows, Linux, and even Mac OS. Hey everyone in this video were going to talk about how we can install numpy into python on a mac in this video were going to be installing numpy directly from the mac terminal allowing you to use numpy in your python shells which well talk about here shortly before we begin if you do not have python installed just click on the link in the top right hand corner of your screen now or check out the link in the description below and you can quickly learn how to download and get started in python on a mac to ensure that we have python installed correctly and to get started lets hit command spacebar to open up our max search feature then lets type terminal within our terminal lets type python and then hit tab this should show you all of your python additions as i want to be working in the latest version of python lets just type 3.9 and hit enter this will show you a bit of information confirming that python is installed now we dont actually want to do anything with this right now so lets type quit parentheses like so now to work in our max terminal with python code we need to first create a virtual environment that will contain all of our projects information lets say that i also want to store this file on my macs desktop as well so it is easily findable so by typing ls and hitting enter you should see desktop as one of the directories that we can move to so lets type cd change directory and desktop now to create a python environment lets tell the terminal that we want a python 3.9 dash m vn study session so this is saying lets make a python 3.9 virtual environment called study session but you can obviously call this file whatever you wish now you can see that when we list our available desktop directories here that is what ls does we now have a file called study session which is the python environment that we just created but how do we go about entering the virtual environment well as you can see here when i list the contents of the study sessions bin we have a file called activate and were going to type source space our newly created environments name so study session slash bin slash activate now on the left side of your input line we can see that we are now working within the study session environment this line is telling python to run scripts out of the study session shell only now that our virtual environment is created lets ensure that we have the latest version of pip installed quickly though what is pip pip is a python package manager that allows us to install and utilize packages that are not a part of the standard python library lets type into our terminal window pip 3 install dash dash upgrade space pip now itll either quickly upgrade your pip or tell you that you are up to date the purpose of doing this is to prevent any potential errors that could occur during our installation of numpy as we want the latest version of the package manager after we complete upgrading our pip we can simply install numpy into our python environment so lets type pip install numpy and you can see that it will begin installing the necessary packages after doing this we can now type import numpy as mp this will import the numpy library and allow us to call it using the shorthand np so to test that this is correctly installed lets create a quick matrix to do so lets create a variable called matrix equals np.P圜harm is one of the most widely used IDEs for Python programming.
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