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🚀 **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](
✔️ **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 inst
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2025/03/10
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