**Want to install Python modules in Jupyter Notebook?** In this tutorial, I’ll show you how to **install Python libraries like NumPy, Pandas, Matplotlib, and more inside Jupyter Notebook** using both **pip and conda**.

Jupyter Notebook is widely used for **data science, machine learning, and AI**, and installing the right libraries is crucial for your projects.

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### ** What You’ll Learn:**
How to install Python libraries using **pip** inside Jupyter
How to install libraries using **conda** (for Anaconda users)
How to fix **common installation errors**
How to check installed Python modules in Jupyter Notebook

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### ** Prerequisites:**
**Jupyter Notebook installed** ([How to Install Jupyter](https://www.youtube.com/))
**Python installed (3.x version recommended)**
**Basic understanding of Python (optional but helpful)**

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## **Method 1: Installing Python Modules Using pip**

To install a package inside Jupyter Notebook, open a new **code cell** and run:

```python
!pip install package_name
```

For example, install **NumPy, Pandas, and Matplotlib**:

```python
!pip install numpy pandas matplotlib
```

The `!` symbol allows running shell commands inside Jupyter Notebook.

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## **Method 2: Installing Python Modules Using Conda (For Anaconda Users)**

If you're using **Anaconda**, install packages using `conda`:

```python
!conda install -c conda-forge package_name -y
```

For example, install **Scikit-learn**:

```python
!conda install -c conda-forge scikit-learn -y
```

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## **Method 3: Installing Specific Library Versions**

To install a specific version of a package:

```python
!pip install pandas==1.3.5
```

Or with Conda:

```python
!conda install pandas=1.3.5 -y
```

---

## **Method 4: Checking Installed Modules in Jupyter Notebook**

To check all installed Python modules, run:

```python
!pip list
```

To check if a specific module is installed, run:

```python
!pip show numpy
```

---

## **Fixing Common Installation Issues**

**Module Not Found Error:**
If you get a `ModuleNotFoundError`, reinstall the package:
```python
!pip install package_name --upgrade
```

**Jupyter Notebook Using Wrong Python Version:**
Check your Jupyter Notebook’s Python version:
```python
!python --version
```
If it differs from your main Python installation, reinstall Jupyter:
```bash
pip install --upgrade jupyter
```

**Conda Environment Issues:**
If using Anaconda, activate the correct environment:
```bash
conda activate my_env
```

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## **Next Steps:**
**How to Use Jupyter Notebook for Data Science** → [Watch Now]
**Best Jupyter Notebook Extensions & Shortcuts** → [Watch Now]
**How to Install Jupyter Notebook from Scratch** → [Watch Now]

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Have questions? Drop them in the **comments** below!

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### ** Hashtags:**
#JupyterNotebook #Python #Pandas #NumPy #MachineLearning #AI #DataScience #Programming #Coding