how to install pandas on aws lambda function

to use the pandas library in an aws lambda function, you must package it along with your function code and any dependencies because aws lambda has a limited execution environment and does not come with pandas pre-installed. below is a step-by-step tutorial on how to do this.

step 1: set up your development environment

make sure you have python and pip installed on your local machine. you can check by running:

step 2: create a virtual environment (optional but recommended)

creating a virtual environment helps to manage dependencies for your project. you can do this using the following commands:

step 3: install pandas

once your virtual environment is activated, you can install pandas using pip:

step 4: create your lambda function code

step 5: package your lambda function

aws lambda requires that you package your function and its dependencies into a zip file. to do this, follow these steps:

1. **deactivate the virtual environment** (if activated):



2. **recreate the virtual environment in a specific way**:
you need to install the packages in a directory that is compatible with aws lambda. to do this, create a new directory:



3. **install pandas in this directory**:



4. **copy your lambda function code** into this directory:



5. **zip the contents of this directory** (make sure you are in the `mylambda` directory):



step 6: create or update your lambda function

1. **log in to the aws management console**.
2. go to **aws lambda**.
3. click on **create function** or select an existing function.
4. if creating a new function, choose **author from scratch**, give it a name, select python as the runtime, and click **create function**.
6. set any necessary ...

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