AWS Cloud Shell is a robust web-based Integrated Development Environment (IDE) supplied by Amazon Web Services (AWS). So, we are going to learn more about how to upgrade the Python version from cloud shell AWS. Cloud shell provides a secure, browser-based command line interface (CLI) for controlling and communicating with your AWS services.

In this blog article, we will look at the advantages of AWS Cloud Shell and walk you through installing Python. Additionally, will demonstrate how to upgrade the Python version from cloud shell AWS for increased development possibilities.

Upgrading Python Version from AWS Cloud Shell and Its Advantages

AWS Cloud Shell offers several benefits that make it an indispensable tool in your AWS workflow:


With Cloud Shell AWS, you can use your browser to access a pre-configured AWS environment. So, removing the need for local installs and customizations. The virtual is hosted on AWS hardware and has built-in security mechanisms to ensure a safe and isolated development environment.

Persistent Storage

Your data and files are automatically saved, allowing you to smoothly resume your work between sessions.

Pre-installed Tools

Cloud Shell includes pre-installed AWS CLI tools and SDKs, allowing you to connect with AWS services quickly. Cloud Shell connects smoothly with other AWS services, allowing smooth operations and eliminating context switching.

How to upgrade Python version from Cloud Shell AWS?

The Cloud Shell is an important resource in which we can use Python programming language to suffice our requirements.

Python, when combined with AWS Cloud Shell, opens a world of possibilities for building, managing, and deploying applications in the cloud. AWS Cloud Shell is an interactive command-line interface (CLI) that allows developers to access a pre-configured environment straight from their web browser.

Here are some key details about using Python with AWS Cloud Shell:

Seamless Integration

AWS Cloud Shell virtual environment comes pre-installed with Python, making it a natural choice for Python developers. You can quickly start working with Python without the need for any additional setup or installation.

Also, in continuance to this, we must also be aware of how to upgrade the Python version from cloud shell AWS.

AWS SDKs and Boto3

Python has excellent support for AWS services through the AWS SDK for Python (Boto3) is the official SDK for Python. Boto3 provides a simple and intuitive way to interact with various AWS services, such as Amazon S3, EC2, Lambda, DynamoDB, and more. With the AWS Cloud Shell command-line interface, you have Boto3 readily available. Thus allowing you to automate AWS resource management and build powerful cloud-based applications using Python.

Infrastructure as Code

Python’s versatility and readability make it an ideal choice for Infrastructure as Code (IaC) deployments. AWS CloudFormation, AWS’s IAC service, allows you to define your infrastructure using YAML or JSON templates. Python can be used to generate and manage these templates dynamically, making it easier to automate infrastructure provisioning and orchestration.

Serverless Computing

AWS Lambda, the serverless compute service by AWS, supports Python as one of its primary runtime environments. Python’s simplicity and extensive library ecosystem make it well-suited for writing Lambda functions. You can use AWS Cloud Shell to develop, test, and deploy Python-based serverless applications, leveraging the benefits of Lambda’s automatic scaling and pay-per-use pricing model.

Data Processing and Analysis

Python is widely used for data processing and analysis tasks. AWS Cloud Shell provides seamless integration with AWS Glue, Amazon Athena, Amazon EMR (Elastic MapReduce), and other data processing services. You can write Python scripts to extract, transform, and analyze data using libraries such as Pandas, NumPy, and Matplotlib, and leverage AWS Cloud Shell’s resources to run these scripts efficiently.

DevOps and Automation

Python’s extensive ecosystem of libraries and frameworks makes it a popular choice for DevOps tasks and automation. With AWS Cloud Shell, you can use Python to build and manage CI/CD pipelines, perform infrastructure testing, and automate deployment workflows. Python frameworks like Flask and Django can also be used to build web-based dashboards and management interfaces for your AWS resources.

Training and Education

AWS Cloud Shell, combined with Python, offers an excellent platform for learning and training in the AWS ecosystem. Aspiring developers and students can use Python to experiment with various AWS services and APIs, gaining hands-on experience in cloud computing. The ability to access AWS resources directly from the Cloud Shell environment makes it a convenient tool for teaching and demonstrating AWS concepts.

Overall, Python’s versatility, combined with the seamless integration provided by AWS Cloud Shell, opens a world of possibilities for developing, managing, and deploying applications on the AWS cloud platform. Whether it is building serverless functions, automating infrastructure management, processing data, or exploring AWS services, Python and AWS Cloud Shell make a powerful combination for cloud-based development.

Now let us learn more about some use cases where AWS Cloud Shell was used and Python was incorporated.

Use Case 1: Serverless Application Development with AWS Cloud Shell and Upgrading Python Version

Serverless architecture has gained popularity for its scalability, cost efficiency, and reduced operational overhead. AWS provides a comprehensive suite of serverless services, such as AWS Lambda, Amazon API Gateway, and AWS Step Functions, that allow developers to build and deploy serverless applications easily. AWS Cloud Shell can significantly enhance the development experience for serverless applications by providing a pre-configured environment and convenient access to AWS resources.


Suppose you are a developer working on a serverless application that requires multiple AWS services, such as AWS Lambda functions, Amazon S3 buckets, and DynamoDB tables. You want a streamlined and efficient development workflow without the hassle of local installations and configurations. Here’s where AWS Cloud Shell can be a perfect fit.

Implementation of Serverless Application Development with AWS Cloud Shell

Launch AWS Cloud Shell: Log in to the AWS Management Console, navigate to the AWS CloudShell service, and click on “Open Cloud Shell” to launch the Cloud Shell environment.

Seamless Integration with AWS Services: AWS Cloud Shell comes pre-configured with AWS CLI tools and SDKs, allowing you to interact with AWS services seamlessly. You can create and manage AWS resources, configure permissions, and test your serverless application without leaving the Cloud Shell environment.

Write and Deploy Serverless Functions: Use the pre-installed Python version in AWS Cloud Shell to write AWS Lambda functions. You can leverage the rich Python ecosystem and serverless frameworks like AWS SAM (Serverless Application Model) to develop and deploy your functions quickly.

Interact with AWS Services: AWS Cloud Shell provides direct access to AWS services through the command line. For example, you can use AWS CLI commands to create and manage S3 buckets, and DynamoDB tables, or deploy API Gateway endpoints. This eliminates the need for manual configuration and simplifies the development and testing of serverless applications.


Collaborative Development: AWS Cloud Shell allows you to collaborate with your team members by sharing the Cloud Shell environment. Multiple developers can work simultaneously, leveraging the same set of resources and configurations, enhancing team productivity and efficiency.

Enhanced Python Version: As mentioned in the previous sections, you must have an idea of how to upgrade the Python version from cloud shell AWS to access the latest language features and libraries, improving your serverless application development experience.

Implementing AWS Cloud Shell for serverless application development provides numerous benefits, including a pre-configured environment, seamless integration with AWS services, enhanced collaboration, and the ability to upgrade the Python version. By leveraging these features, developers can focus on writing code, testing, and deploying serverless functions without worrying about local setup or configurations.

AWS Cloud Shell streamlines the development process, reduces context-switching, and enhances productivity, making it an excellent choice for developing serverless applications on AWS.

Use Case 2: Infrastructure Management and Automation with AWS Cloud Shell and Upgrading Python Version

Managing and automating infrastructure tasks are essential for efficient cloud operations. AWS Cloud Shell provides a centralized and convenient environment for infrastructure management and automation, allowing you to execute commands, scripts, and AWS CLI operations.


Suppose you are a DevOps engineer responsible for managing a complex infrastructure on AWS. You need a reliable and accessible environment to perform tasks such as provisioning resources, configuring security policies, and automating infrastructure workflows.

Implementation and Upgrading Python Version from Cloud Shell AWS

AWS CLI and SDK Integration: AWS Cloud Shell comes pre-installed with the AWS CLI and SDKs, enabling you to interact with AWS services directly from the terminal. You can write scripts, execute CLI commands, and use SDKs in various programming languages (Python, JavaScript, etc.) for infrastructure management.

Resource Provisioning: Use AWS Cloud Shell to provision and manage AWS resources efficiently. You can create EC2 instances, manage Amazon RDS databases, configure security groups, set up VPCs, and perform other infrastructure-related tasks using AWS CLI commands or AWS SDKs.

Infrastructure Automation: Leverage AWS Cloud Shell to write and execute automation scripts using tools like AWS CloudFormation or AWS CDK (Cloud Development Kit). You can define infrastructure as code and deploy and manage resources in a consistent and repeatable manner.

Resource Monitoring and Troubleshooting: AWS Cloud Shell allows you to monitor resources and troubleshoot issues directly from the command line. You can use AWS CLI commands to retrieve resource information, monitor CloudWatch metrics, inspect logs, and perform diagnostic tasks, enhancing your operational efficiency.

By using AWS Cloud Shell for infrastructure management and automation, you can streamline your workflows, automate repetitive tasks, and improve overall productivity. The pre-configured environment, integrated AWS CLI and SDKs, and access to AWS services make AWS Cloud Shell an excellent choice for infrastructure management on AWS.

As we have learnt more about where and how can we use AWS Cloud Shell and Python programming, it comes to the question of how to upgrade the Python version from Cloud Shell aws. Let us go with the process.

Upgrading Python Version and Setting up AWS Cloud Shell

Before getting started, make sure you have an AWS account and access to the AWS Management Console. Familiarity with basic command-line operations will also be beneficial.

1) Setting up AWS Cloud Shell:

2) Check current installation package:

    python3 --version

3) Update the package manager:

    sudo yum update

4) Setting up Python 3.9:

    sudo yum install gcc openssl-devel bzip2-devel libffi-devel
    tar xzf Python-3.9.0.tgz
    cd Python-3.9.0
    ./configure --enable-optimizations
    sudo make altinstall

5) Confirm if the setup was successful:

    curl | bash
    export PYENV_ROOT="$HOME/.pyenv"
    export PATH="$PYENV_ROOT/bin:$PATH"
    eval "$(pyenv init --path)"
    eval "$(pyenv init -)"
    eval "$(pyenv virtualenv-init -)"

6) Set the new version as the default:

    pyenv install --list

Select the required version from the list and run the command like below:

    sudo yum install gcc make patch zlib-devel bzip2 bzip2-devel readline-devel sqlite sqlite-devel openssl11-devel tk-devel libffi-devel xz-devel
    pyenv install 3.9.0
pyenv versions
pyenv global 3.9.0
python3 --version

Now you have successfully set your new updated Python version in AWS Cloud Shell.

FAQs on How to Upgrade Python Version from Cloud Shell AWS

Question: What is AWS Cloud Shell?

Answer: AWS Cloud Shell is a web-based, interactive shell environment provided by Amazon Web Services (AWS). It allows users to access a pre-configured Linux environment with common development tools directly from the AWS Management Console.

Question: Which Python version is pre-installed in AWS Cloud Shell?

Answer: AWS Cloud Shell comes with Python 3 pre-installed by default. The specific version might vary, so it’s essential to check the Cloud Shell environment for the exact version.

Question: Why would I need to upgrade the Python version in AWS Cloud Shell?

Answer: You might need to upgrade the Python version to access the latest features, bug fixes, and security updates, or to ensure compatibility with certain Python applications and libraries that require a specific version.

Question: Can I have multiple Python versions in AWS Cloud Shell?

Answer: AWS Cloud Shell is a shared environment, and its system-level Python version is set globally. As a user, you cannot install multiple Python versions at the system level. However, you can use virtual environments to manage different Python versions on a per-project basis.

Question: How do I host a Webapp on AWS EC2?

Answer: To host a web application (Web app) on AWS EC2, follow these general steps:

Step 1: Launch an EC2 Instance

Step 2: Connect to your EC2 instance using SSH (Secure Shell) or RDP (Remote Desktop Protocol) for Windows instances. Install the necessary web server software like Apache, Nginx, or any other server that supports your application’s programming language (e.g., Node.js, Python, etc.). Deploy your web application code to the server and configure it accordingly.

Step 3: Apply security best practices, such as enabling firewalls, restricting access, and setting up SSL certificates for secure communication.

Step 4: Set up DNS (Domain Name System) records to point to your EC2 instance’s IP address.

Step 5: Monitor the performance of your Web app using AWS monitoring tools or third-party monitoring solutions.

Question: How do I host a dynamic website on AWS EC2?
Hosting a dynamic website on AWS EC2 is similar to hosting a regular website with a few additional considerations for dynamic content. Here are the steps:

Step 1: Decide on the web server software and programming language that supports your dynamic website requirements (e.g., Apache with PHP, Nginx with Node.js, etc.).

Step 2: Set up a database to store and manage the dynamic content. AWS offers services like Amazon RDS (Relational Database Service) or Amazon DynamoDB for this purpose.

Step 3: Launch an EC2 instance as described in the previous answer. Install the necessary web server and configure it to support your chosen programming language.

Step 4: Upload your dynamic website files to the EC2 instance. Ensure the web server communicates with the database for fetching and storing dynamic data.

Step 5: Follow security best practices to secure your dynamic website and the associated database. Configure the domain name and DNS records to point to your EC2 instance’s IP address.

Questions on Python Upgrade

Question: What is a virtual environment, and how can I create one in AWS Cloud Shell?

Answer: A virtual environment is an isolated Python environment that allows you to install packages and dependencies specific to a project without affecting the system-wide Python installation. You can create one using the following steps:

Question: How can I manage Python packages in AWS Cloud Shell?

Answer: You can use the pip package manager to install, update, and manage Python packages within your virtual environment.

Question: Is there a risk of breaking Cloud Shell if I upgrade Python?

Answer: Upgrading the system-level Python version in AWS Cloud Shell can cause compatibility issues with other AWS tools and services that rely on the default Python version. It’s generally recommended to use virtual environments so as to manage Python versions to avoid system-wide changes.

Should We Upgrade Or Not?

Now that you are equipped and gained knowledge on how to upgrade Python version from Cloud Shell AWS, you can confidently utilize the latest Python features and enhancements for your AWS projects. Take advantage of the upgraded Python version to develop powerful applications and leverage the full potential of AWS Cloud Shell.

Happy coding with your upgraded Python version in AWS Cloud Shell!