Difference between revisions of "AWS Chalice"
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(Created page with "AWS Chalice, Chalice is a microframework for writing serverless apps in python == See also == * {{AWS}} * {{python}}") Tags: Mobile web edit, Mobile edit |
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| − | [[AWS]] Chalice, Chalice is a microframework for writing serverless apps in [[python]] | + | [[AWS]] Chalice, Chalice is a microframework for writing [[serverless]] apps in [[python]] |
| + | * https://github.com/aws/chalice | ||
| + | == Related == | ||
| + | * [[Boto3]] | ||
== See also == | == See also == | ||
* {{AWS}} | * {{AWS}} | ||
* {{python}} | * {{python}} | ||
| + | |||
| + | |||
| + | [[Category:AWS]] | ||
Latest revision as of 09:49, 24 January 2022
AWS Chalice, Chalice is a microframework for writing serverless apps in python
Related[edit]
See also[edit]
- AWS, Amazon Managed Services, AWS Management & Governance, computing, security, networking, AWS compliance, AWS Outposts AWS Free Tier, AWS certifications, AWS Trusted Advisor, AWS Systems Manager, AWS Config, IAM Access Analyzer, AWS Cost Explorer, AWS Cost Management, AWS Budgets, AWS Organizations, AWS dev: (CodeStar, Cloud9), AWS Partner Network (APN), AWS Resource Access Manager, AWS Quick Starts, AWS Global Accelerator, AWS Elemental MediaStore, AWS Enterprise support, AWS support, AWS Professional Services Consultants, AWS Cloud Map, AWS Marketplace, AWS CLI, AWS Management Console, AWS acceptable use policy, amazonaws.com, Quotas, AWS Support plans, AWS Resource Explorer, AWS Managed Services (AMS), AWS savings, AWS Nitro System, AWS Activate, Serverless, AWS timeline
- Python, PIP, GIL, Flask, Django, Marshmallow,
def, logging, Pandas, Numpy, AWS Chalice,import,from,tuple,list, Python exceptions,virtualenv,.append,pytz,TZ,print,python3 -c,os, PEP, Python Institute, Methods: Dunder methods, Flake8, Python collections, Function decorators in Python, Click python library, Python module, Flower,kwargs, Black (Python), Python list structure, Mypy,variables, Casting,try:, pydoc, argparse, Anaconda,pyenv, setup.py, python3 --version, python3 --help, Data Classes, raise
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