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How to install a python dependency on aws lambda 2023

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installing python dependencies for aws lambda can be a bit tricky due to the constraints of the lambda execution environment. however, with the right approach, you can easily package and deploy your lambda function with its dependencies. below is a step-by-step tutorial on how to do this as of 2023.
### step 1: set up your development environment
2. **install aws cli**: make sure you have the aws command line interface (cli) installed and configured. you can install it via pip:
3. **configure aws cli**: configure your aws credentials using:
you will be prompted to enter your aws access key, secret key, region, and output format.
### step 2: create a new directory for your lambda function
create a new directory for your lambda function and navigate into it:
### step 3: create your python script
### step 4: install dependencies locally
if your function has dependencies, you need to install them in a way that aws lambda can use them. this is typically done using a virtual environment.
1. **create a virtual environment**:
2. **activate the virtual environment**:
- on windows:
- on macos/linux:
3. **install your dependencies**. for example, if you need the `requests` library, run:
### step 5: package your function and dependencies
1. **install dependencies into a `python` directory**:
2. **copy your lambda function script into the `python` directory**:
3. **create a deployment package**. navigate to the `python` directory and zip the contents:
### step 6: create the lambda function in aws
1. **navigate to the aws lambda console** and create a new function.
2. choose "author from scratch", provide a function name, and choose ...
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### step 1: set up your development environment
2. **install aws cli**: make sure you have the aws command line interface (cli) installed and configured. you can install it via pip:
3. **configure aws cli**: configure your aws credentials using:
you will be prompted to enter your aws access key, secret key, region, and output format.
### step 2: create a new directory for your lambda function
create a new directory for your lambda function and navigate into it:
### step 3: create your python script
### step 4: install dependencies locally
if your function has dependencies, you need to install them in a way that aws lambda can use them. this is typically done using a virtual environment.
1. **create a virtual environment**:
2. **activate the virtual environment**:
- on windows:
- on macos/linux:
3. **install your dependencies**. for example, if you need the `requests` library, run:
### step 5: package your function and dependencies
1. **install dependencies into a `python` directory**:
2. **copy your lambda function script into the `python` directory**:
3. **create a deployment package**. navigate to the `python` directory and zip the contents:
### step 6: create the lambda function in aws
1. **navigate to the aws lambda console** and create a new function.
2. choose "author from scratch", provide a function name, and choose ...
#python 2023-24 aktu paper
#python 2023 download
#python 2023 roadmap
#python 2023 model answer paper
#python 2023 pdf
python 2023-24 aktu paper
python 2023 download
python 2023 roadmap
python 2023 model answer paper
python 2023 pdf
python 2023 version
python 2023 books
python 2023 mooc
python 2023 question paper
python 2023
python aws lambda example
python aws
python awsglue
python aws cdk
python awswrangler
python aws sdk
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