Any organization that designs a system (defined broadly) will produce a design whose structure is a copy of the organization's communication structure.
In order to design a piece of software we need to “design” the team that is going to produce it.
Any organization that designs a system (defined broadly) will produce a design whose structure is a copy of the organization's communication structure.
In order to design a piece of software we need to “design” the team that is going to produce it.
Check this out on Dev.to
| """decorators.log_call""" | |
| import inspect | |
| import logging | |
| from datetime import datetime | |
| from functools import wraps | |
| DT_NAIVE = "%Y-%m-%d %I:%M:%S %p" | |
| class LogCall: |
Thanks everyone for commenting/contributing! I made this in college for a class and I no longer really use the technology. I encourage you all to help each other, but I probably won't be answering questions anymore.
This article is also on my blog, too.
Note: $ denotes the start of a command. Don't actually type this.
x86_64.sh. If I had a 32-bit computer, I'd select the x86.sh version. If you accidentally try to install the wrong one, you'll get a warning in the terminal. I chose `Ana| # A virtualenv running Python3.6 on Amazon Linux/EC2 (approximately) simulates the Python 3.6 Docker container used by Lambda | |
| # and can be used for developing/testing Python 3.6 Lambda functions | |
| # This script installs Python 3.6 on an EC2 instance running Amazon Linux and creates a virtualenv running this version of Python | |
| # This is required because Amazon Linux does not come with Python 3.6 pre-installed | |
| # and several packages available in Amazon Linux are not available in the Lambda Python 3.6 runtime | |
| # The script has been tested successfully on a t2.micro EC2 instance (Root device type: ebs; Virtualization type: hvm) | |
| # running Amazon Linux AMI 2017.03.0 (HVM), SSD Volume Type - ami-c58c1dd3 | |
| # and was developed with the help of AWS Support |