Step 1: Installing Python 3.7 to Install Anaconda Navigator in LinuxĬurrently, Anaconda requires Python 3.7 version. You can also download the installer file from the bash command in the terminal. Bash file allows us to install files from the shell script. You will find the bash file on the official website of Anaconda. To install Anaconda Navigator in Linux, first, you need to download the bash file of Anaconda. How to Install Anaconda Navigator in Linux We will also see how to use Jupyter Notebook-web by using Google Colab. Today in this post, we will learn how to install Anaconda Navigator and JupyterLab in Linux. I must mention that Jupyter Notebook comes pre-installed with Anaconda Navigator, where JupyterLab is the next updated version of the Jupyter Notebook. JupyterLab is a web-based Python environment. The name Jupyter has come from the combination of these three programming languages Julia, Python, and R. To use Anaconda, we will be using the Anaconda graphical user interface named Anaconda Navigator. Anaconda Navigator is used for both data science and machine learning. Hence, Anaconda Navigator and JupyterLab have all supported Python libraries like matplotlib,numpy,pandas, etc. You can check the Python version from the terminal. I f you are using Mac or Linux, your system already has installed Python. In Linux, Anaconda Navigator, and JupyterLab, both are very effective and powerful Python interpreters used for data science and machine learning. If you’re a Linux user and you are used to the command prompt or terminal for Python, I’m sure you’re looking for a simple but effective environment to write python where you can input and output data files. Still, you can’t understand which distribution of Python you should select and which Python IDE (Integrated Development Environment) is helpful for database management.Īnaconda Navigator and JupyterLab both are the open-source distribution of Python. Now here, confusion arrives when you want to learn Python. Python has a vast library and syntax for data visualization and data output. Indeed, the use of Python for data science is now no longer a choice rather obvious. Both are Python interpreter used to code python for database handling. If you are a database engineer or data analytics, I am sure you have already heard the name of Anaconda Navigator and JupyterLab.
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