How to Install Pandas in Termux on Android Without Root

Unlock Python Data Analysis on Your Android Device!
Introduction
In today’s fast-paced world, the ability to perform data analysis on the go is a game-changer. Imagine running Python scripts, analyzing datasets, or even practicing machine learning—all from your Android device. Thanks to Termux, a powerful terminal emulator for Android, you can now create a Linux-like environment on your phone without rooting it. One of Python’s most popular libraries, Pandas, is essential for data manipulation, and this guide will show you exactly how to install Pandas in Termux.
Whether you’re a student, developer, or data enthusiast, this tutorial will empower you to turn your Android device into a portable coding workstation. Let’s dive in!
Why Use Pandas in Termux?
Before we jump into the installation steps, here’s why this setup is worth your time:
- No Root Required: Termux works on non-rooted devices, keeping your warranty intact.
- Portability: Code anywhere—on your commute, during breaks, or while traveling.
- Cost-Effective: Avoid investing in a laptop for basic Python tasks.
- Learning Opportunity: Sharpen your Python and data analysis skills on the go.
Prerequisites
- An Android device running Android 7.0 or higher.
- A stable internet connection (Wi-Fi recommended).
- At least 500MB of free storage for packages.
- Basic familiarity with terminal commands.
Step-by-Step Guide to Install Pandas in Termux
Step 1: Install Termux
Avoid the Play Store version (it’s outdated). Instead:
- Download F-Droid from f-droid.org.
- Open F-Droid, search for Termux, and install it.
Why F-Droid? It hosts the latest Termux builds with active community support.
Step 2: Update Termux Packages
Launch Termux and run these commands:
pkg update
pkg upgrade

– Tap `Y` and press Enter when prompted.
– This ensures all packages are up-to-date.
Step 3: Install Python
Termux uses `pkg` for package management. Install Python with:
pkg install python

Confirm the installation by checking the Python version:
python --version
Step 4: Install Pandas Using pip
Python’s package manager, `pip`, simplifies library installations.
pkg install python
2. Install Pandas:

pip install pandas
Wait patiently—this may take a few minutes depending on your internet speed.
Step 5: Verify the Installation
Ensure Pandas is installed correctly:
1. Launch the Python shell:
python
2. Import Pandas:
import pandas as pd
print(pd.version)
If you see the version number (e.g., `2.1.4`), congratulations! Install Pandas in Termux
Fixing Common Installation Issues
1. Missing Dependencies :
Eessential build tools:
pkg install clang make libffi libzmq
Reinstall Pandas:
pip install --upgrade pandas
2. Storage Permissions:
Allow Termux to access device storage:
termux-setup-storage
3. Using Virtual Environments (Recommended):
Avoid conflicts by creating a virtual environment:
pip install virtualenv
virtualenv myenv
source myenv/bin/activate
pip install pandas
Pro Tips for Using Pandas in Termux
Keyboard Shortcuts : Swipe left to open the Termux menu for Ctrl, Tab, or Esc keys.
File Management : Use `cd` and `ls` to navigate directories. Store scripts in `~/storage/shared/` for easy access. Jupyter Notebooks : Install Jupyter for an interactive experience:
pip install jupyterlab
jupyter notebook
FAQ Section
Q1: Can I use NumPy or other Python libraries in Termux?
Absolutely! Install them via `pip install numpy matplotlib scikit-learn`.
Q2: Why does Pandas take so long to install?
Pandas relies on NumPy, which compiles C extensions during installation. Be patient—it’s normal!
Q3: How do I exit the Python shell or Termux?
– For Python: Type `exit()` or press `Ctrl + D`.
– For Termux: Type `exit` or swipe down to close the app.
Q4: Can I run Python scripts directly from Termux?
Yes! Save your script as `script.py` and run:
python script.py
Conclusion
You’ve just transformed your Android device into a data analysis toolkit—no root required! With Pandas installed in Termux, you’re ready to clean datasets, analyze trends, or even prototype machine learning models anytime, anywhere.
Next Steps:
- Explore more Python libraries (e.g., TensorFlow Lite for mobile ML).
- Join the Termux community for advanced setups.
Found this guide helpful? Share it with fellow developers and data enthusiasts!