Setting up Your Python Environment Without Anaconda
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. Uses include data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
However, I have been fairly disappointed with the performance (start-up time, CPU and memory utilization) of Anaconda on my Linux mint. Installing Jupyter without Anaconda is actually fairly simple. It’s so easy that I don’t see why they put the “strongly recommend” using Anaconda to run Juypter in bold. Since pip is installed already on the latest versions of Python, you don’t even have to go out looking for a separate script to install or update it. It works like a charm.
Step 1: Install the Prerequisites
So now, first we have to install a virtual environment. At first, you will need to add a few prerequisites that will help you in setting up your virtual space. Run the following command as sudo in order to install the build-essential, libssl-dev, libffi-dev and python-dev packages to your system:
sudo apt-get install build-essential libssl-dev libffi-dev python-dev
Please click Y and then hit Enter when the system prompts you with a y/n option to continue installation.
All these packages will then be installed to your system.
Step 2: Install pip3 if it is already not installed on your system
You can verify if pip3 is installed on your system or not simply by checking its version number. Please run the following command to check the version:
pip3 -V
If your output suggests that pip is not installed on your system, please run the following commands as sudo to install the latest pip3 package:
sudo apt-get update
And then,
sudo apt install python3-pip
Step 3: Create a virtual environment through Python3-venv
In order to create a virtual environment, you need the Python3-venv package installed on your system. Please run the following command as sudo in order to install it:
sudo apt install -y python3-venv
That’s it. Virtual Environment is installed!
Now we will create a folder for your Python virtual environments where you can create your stand-alone virtual environments. You can use the following syntax to create your own working directory:
Example:
mkdir p
Now change the working directory to the environments directory that you just created:
cd p
In the environments directory, we will be creating a new virtual environment where you can write your Python programs and create projects.
Syntax:
$ python3 -m venv environment_name
Example:
python3 -m venv env
Step 4: Activate the Python Virtual Environment
When you want to use the newly created virtual environment, you first need to activate it. Use the following command to syntax to do so:
Example:
source env/bin/activate
When you activate the environment, you will see how your environment name appears inside brackets, suggesting that you are now inside the environment.
Whenever you want to deactivate the environment, you can use the following command:
deactivate
Step 5: Install Jupyter Lab, ipython, spyder,:
Open the terminal and enter the following command:
python3 -m pip install jupyterlab – -user
python3 -m pip install jupyter – -user
python3 -m pip install ipython – -user
python3 -m pip install pyqt5 –user
python3 -m pip install qtconsole –user
python3 -m pip install rope –user
python3 -m pip install pyflake –user
python3 -m pip install sphinx –user
python3 -m pip install pygments –user
python3 -m pip install pylint –user
python3 -m pip install pycodestyle –user
python3 -m pip install psutil –user
python3 -m pip install nbconvert –user
python3 -m pip install qtawesome –user
python3 -m pip install pickleshare –user
python3 -m pip install pyZMQ –user
python3 -m pip install qtPy –user
python3 -m pip install chardet –user
python3 -m pip install numpydoc –user
python3 -m pip install cloudpickle –user
python3 -m pip install matplotlib –user
python3 -m pip install pandas –user
python3 -m pip install numpy –user
python3 -m pip install sympy –user
python3 -m pip install scipy –user
python3 -m pip install cpython –user
python3 -m pip install spyder –user
python3 -m pip install pyQtWebEngine –user
After all of this installed, activate your virtual environment:
then, run jupyter lab
If you want to run spyder IDE
If you want to run ipython
All done! There is no need to install Anaconda!
DCB 
Reply