How to install Jupyter Notebook using pip in CMD #python #learnpython #python3#pythonforbeginners

How to install pip:
If you are using a recent version of Python (Python 3.4 and above), pip is likely included by default. However, if you need to install or upgrade pip, you can do so using the following steps:

On Windows:
Open Command Prompt:

Press Win + R to open the Run dialog.
Type cmd and press Enter to open the Command Prompt.
Download get-pip.py:

Download the get-pip.py script from //bootstrap.pypa.io/get-pip.py and save it to your computer.
Navigate to the Downloaded Script:

Use the cd command in the Command Prompt to navigate to the directory where you saved get-pip.py.
Run the Script:

Run the following command to execute the script:

bash
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python get-pip.py
If you are using Python 3, use python or python3 depending on your version.

Verify pip Installation:
After the installation process, you can verify that pip is installed by running:

bash
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pip –version
This should display information about the installed version of pip. If you see this information, pip is successfully installed on your system.

How to install Jupyter notebbok using Anaconda:

Installing jupyter Notebook using Anaconda is a straightforward process. Here are the steps:

1. **Download and Install Anaconda:**
– Visit the official Anaconda website at www.anaconda.com/products/distribution.
– Download the appropriate Anaconda distribution for your operating system (Windows, macOS, or Linux).
– Follow the installation instructions provided on the Anaconda website.

2. **Open Anaconda Navigator:**
– After installation, open the Anaconda Navigator. You can find it in your Start menu (Windows) or Applications folder (macOS).

3. **Launch Jupyter Notebook:**
– In the Anaconda Navigator, locate the “Home” tab.
– Find the “Jupyter Notebook” icon and click the “Launch” button next to it.

4. **Jupyter Notebook Interface:**
– This will open a new tab in your web browser, displaying the Jupyter Notebook interface.
– You can navigate through your file system, create new notebooks, and open existing ones.

5. **Create a New Notebook:**
– Click on the “New” button in the Jupyter Notebook interface and select “Python 3” to create a new Python notebook.

6. **Run Code in a Cell:**
– In a notebook, you’ll see cells where you can write and execute code. Click on a cell, type your Python code, and press `Shift + Enter` to run the code in that cell.

7. **Save and Export:**
– Save your work using the “File” menu in the Jupyter Notebook interface. You can also export notebooks to various formats such as HTML, PDF, or as a script.

That’s it! You have successfully installed Jupyter Notebook using Anaconda and created a new Python notebook. The Anaconda distribution simplifies the installation process and provides a convenient environment for data science and scientific computing.

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