Getting Started With Anaconda and Jupyter Notebook on Windows
Anaconda is a free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS
Data science technology for human sensemaking.
A movement that brings together millions of data science practitioners, data-driven enterprises, and the open-source community.
When does Anaconda come into the picture?
It all started in 2012
🐍 Open Source
Anaconda Individual Edition is the world’s most popular Python distribution platform with over 20 million users worldwide. You can trust in our long-term commitment to supporting the Anaconda open-source ecosystem, the platform of choice for Python data science.
📦 Conda Packages
Search our cloud-based repository to find and install over 7,500 data science and machine learning packages. With the conda-install command, you can start using thousands of open-source Conda, R, Python, and many other packages.
🏘 Manage Environments
Individual Edition is an open-source, flexible solution that provides the utilities to build, distribute, install, update, and manage software in a cross-platform manner. Conda makes it easy to manage multiple data environments that can be maintained and run separately without interference from each other.
Easy to Build machine learning models using
Step 1: Download the Anaconda Software into the Local Machine
Download the latest version of the Anaconda installer's official website. You can find the downloader as shown below. Download the installer as per your system configuration
Will it work on my machine?
Anaconda Distribution is available for Windows 7 and newer. Anaconda requires 3GB of free hard drive space, while Miniconda needs only 400 MB.
For Windows 7 Use the command line or graphical installers for Anaconda versions 2019.10 and earlier. Download from our archive.
For Windows XP Use Anaconda versions 2.2 and earlier.
Step 2: Install the Software into your Local Machine
2.1 Open and run the installer
Once the download completes, open and run the .exe installer
At the beginning of the install, you need to click Next to confirm the installation.
Then agree to the license.
At the Advanced Installation Options screen, I recommend that you do not check “Add Anaconda to my PATH environment variable”
Step3: Open the Jupyter Notebook from the Windows start menu
After the installation of Anaconda is complete, you can go to the Windows start menu then Search and select the Jupyter Notebook
After Clicking on Jupyter notebook one local server instance will be created as shown below
That server instance will be run on localhost:8888 you can open it on any of the web browsers when you open it you should see a similar window as shown below
That's you have successfully installed the Jupyter Notebook for programming in python for Data Analysis/ Machine Learning/ Deep Learning
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