Modified on
28 Dec 2022 07:49 pm
Skill-Lync
An open-source distribution of Python and R for data research, Anaconda aims to make package management and deployment easier. Conda, the package management system used by Anaconda, is in charge of managing package versions. Conda examines the current environment before initiating an installation to prevent conflict with other frameworks and packages.
In the Anaconda distribution, more than 250 packages are set up automatically. Along with the conda package manager and virtual environment manager, more than 7500 other open-source packages can be installed through PyPI.
The Anaconda distribution comes with Anaconda Navigator, which enables users to run programmes and control conda packages, environments, and channels without using command-line tools. In addition, Anaconda Navigator, a GUI (graphical user interface), is provided as a graphical replacement for the command line interface. Navigator's capabilities are searching for packages, setting them up in a system, running them, and updating them.
Search for Anaconda Navigator in Google.
Click on Individual edition
A download pop up for permission will arise. Click Save File.
Once it finishes download, click on the file.
The installer will start extracting itself.
Once extracted, you can see the installer, click Next.
Accept to terms and condition by pressing I agree
Select the installation type.
Select the installation folder.
Select add Anaconda 3 has my path environment variable.
Installation proceeds
Installation complete. Click next
Again Next
Click finish
Congrats, you have successfully installed Anaconda Navigator.
The process is almost similar for Linux and Mac OS
Go to windows search.
type anaconda navigator in search box
Click on anaconda navigator. A command window will open multiple times. That is for initialising. Don't do anything to that. It will close by itself. Anaconda Navigator is intialised.
This is anaconda Navigator GUI.
Maximise your Anaconda Navigator and scroll to locate Jupyter notebooks and click on Launch.
When u click Launch, it will start loading.
It will open a command window console and a page in a browser.
This is the command window console. Don't close it. If you close this, your jupyter notebook will close.
After a few seconds, a Jupyternotebook will open in the default browser. In yours, it may open on chrome, for some in the edge. In this example, it is opening in firefox.
Once when everything is loaded. Your root directory would look like this. Click on new to get drop down menu.
The previous step essentially. Click on Python 3(ipykernal). This will load a page where u can programme. You can create multiple ipynb kernals by going to Home and clicking create new.
Result of the previous execution.
Author
Navin Baskar
Author
Skill-Lync
Subscribe to Our Free Newsletter
Continue Reading
Related Blogs
Machine Learning is a process by which we train a device to learn some knowledge and use the awareness of that acquired information to make decisions. For instance, let us consider an application of machine learning in sales.
01 Jul 2022
Companies seek candidates who can differentiate themselves from the colossal pool of engineers. You could have a near-perfect CGPA and be a bookie, but the value you can provide to a company determines your worth.
04 Jul 2022
When analysing SQL data, Microsoft Excel can come into play as a very effective tool. Excel is instrumental in establishing a connection to a specific database that has been filtered to meet your needs. Through this process, you can now manipulate and report your SQL data, attach a table of data to Excel or build pivot tables.
08 Aug 2022
Microsoft introduced and distributes the SQL Server, a relational database management system (RDBMS). SQL Server is based on SQL, a common programming language for communicating with relational databases, like other RDBMS applications.
23 Aug 2022
Often while working with datasets, we encounter scenarios where the data present might be very scarce. Due to this scarcity, dividing the data into tests and training leads to a loss of information.
27 Dec 2022
Author
Skill-Lync
Subscribe to Our Free Newsletter
Continue Reading
Related Blogs
Machine Learning is a process by which we train a device to learn some knowledge and use the awareness of that acquired information to make decisions. For instance, let us consider an application of machine learning in sales.
01 Jul 2022
Companies seek candidates who can differentiate themselves from the colossal pool of engineers. You could have a near-perfect CGPA and be a bookie, but the value you can provide to a company determines your worth.
04 Jul 2022
When analysing SQL data, Microsoft Excel can come into play as a very effective tool. Excel is instrumental in establishing a connection to a specific database that has been filtered to meet your needs. Through this process, you can now manipulate and report your SQL data, attach a table of data to Excel or build pivot tables.
08 Aug 2022
Microsoft introduced and distributes the SQL Server, a relational database management system (RDBMS). SQL Server is based on SQL, a common programming language for communicating with relational databases, like other RDBMS applications.
23 Aug 2022
Often while working with datasets, we encounter scenarios where the data present might be very scarce. Due to this scarcity, dividing the data into tests and training leads to a loss of information.
27 Dec 2022
Related Courses