Sold by: ThinkCloud
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. This is open source software, which is repackaged by ThinkCloud. The additional cost is applicable to the extended support of 24-hour response time. A repackaged Python 3.10 environment on CentOS Stream 9, including support.
Overview
This product has charges associated with it for seller support. This is open source software, which is repackaged by ThinkCloud. The additional cost is applicable to the extended support of 24-hour response time. A repackaged Python 3.10 environment on CentOS Stream 9, including support. It offers a pre-configured, security-hardened environment designed for immediate deployment.
Python 3.10 is a feature-rich release of the Python programming language, delivering significant syntax improvements, better error messages, and enhanced type system capabilities. Installed via the standard CentOS dnf package manager, it provides a fully integrated Python runtime with pip package manager and venv support included. Python 3.10 is suitable for a wide range of use cases including web development, data processing, automation, scripting, and machine learning.
Benefits:
- Structural Pattern Matching: Python 3.10 introduces match/case statements, enabling expressive and readable pattern matching similar to switch statements in other languages.
- Improved Error Messages: Enhanced syntax error messages provide clearer, more actionable diagnostics to speed up debugging.
- Standard Installation: Installed via dnf, ensuring seamless integration with CentOS Stream 9 system packages and update mechanisms.
- pip and venv Included: Comes with pip for package management and venv for creating isolated virtual environments per project.
- Rich Ecosystem: Full access to the Python Package Index (PyPI) with hundreds of thousands of packages for web, data science, automation, and more.
- Versatile Runtime: Suitable for Flask, Django, FastAPI web applications, data pipelines, system automation scripts, and AWS SDK (boto3) workloads.
This AMI is ideal for Python Developers, Data Engineers, DevOps teams, and System Administrators who need a reliable Python 3.10 runtime for application development, scripting, and automation on CentOS Stream 9.
Highlights
- CentOS Stream 9 Minimal installation with latest updates
- Professional technical support and fast response
- Optimized configuration for Python 3.10 on CentOS Stream 9
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
CentOs 9
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $0.05 |
t3.micro | $0.05 |
t2.micro | $0.05 |
r6id.16xlarge | $0.50 |
x8aedz.xlarge | $0.17 |
c6a.4xlarge | $0.17 |
r5b.16xlarge | $0.50 |
i7i.12xlarge | $0.50 |
m8azn.large | $0.05 |
g4ad.2xlarge | $0.17 |
Vendor refund policy
No refunds provided after usage starts.
Legal
Vendor terms and conditions
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Content disclaimer
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
python3.12
Additional details
Usage instructions
-
Connection Method Connect via SSH as user 'ec2-user' to the running instance. Use sudo to run commands requiring root access, or switch to root using: sudo su - root
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Application Details Check Version: python3.12 --version Default python3 symlink: python3 --version pip Version: pip3.12 --version Binary Path: /usr/bin/python3.12 pip Binary: /usr/bin/pip3.12 (Note: Use 'python3.12' or 'python3' to invoke the interpreter. The 'python' command may not be available by default. To create a 'python' alias: sudo alternatives --set python /usr/bin/python3.12)
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Package Management Python 3.12 is installed via dnf. To update: sudo dnf update python3.12 Install a Python package via pip: pip3.12 install requests Install packages for the current user only: pip3.12 install --user requests List installed packages: pip3.12 list
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Virtual Environments Create a virtual environment: python3.12 -m venv myenv Activate the virtual environment: source myenv/bin/activate Install packages inside the environment: pip install flask Deactivate: deactivate
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Running Python Applications Run a Python script: python3.12 script.py Start an interactive Python session: python3.12 Run a web application (example with Flask): flask run --host=0.0.0.0 --port=5000
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Network Configuration Python itself does not listen on any ports by default. Open ports only as required by the web framework or application you deploy. AWS Security Group: Add inbound rules for the port your application listens on (e.g. 5000 for Flask, 8000 for Django). Please allow SSH port 22 to limited IPs for access.
Support
Vendor support
If you encounter problems in the process of using the system, please feel free to contact us by email: support@thinkclouds.ai !
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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