PySnooper | boto3 | |
---|---|---|
13 | 36 | |
16,265 | 8,703 | |
- | 0.6% | |
5.5 | 9.7 | |
3 months ago | 5 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PySnooper
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Logging code mess
Definitely not for production, but for debugging (esp. in cases where interactive debugging doesn't work) I've found PySnooper very useful
- What Python debugger do you use?
- What a good debugger can do
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Trace your Python process line by line with minimal overhead!
Looks interesting I will definitely try this.
For those that find this interesting, you might also like pysnooper - I use it all the time.
https://github.com/cool-RR/PySnooper
https://python.plainenglish.io/pysnooper-stop-debugging-pyth...
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What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
Found PySnooper the other day.
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What was the most helpful resource that allowed you become a better coder?
pysnooper! https://github.com/cool-RR/PySnooper
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“I think the vast majority of developers still debug using print() statements”
Shameless plug: PySnooper is a debugging tool for Python that lets you debug in a way that's as easy as adding print statements, but gives you a lot more information automatically.
https://github.com/cool-RR/PySnooper/
HN thread: https://news.ycombinator.com/item?id=19717786
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Top python libraries/ frameworks that you suggest every one
snoop or pysnooper
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No more Print For Debugging In Python Anymore
If you want to install a library, pysnooper is cool. It's like an automatic print on every line of your function, with values.
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The unreasonable effectiveness of print debugging
The Python package PySnooper is pretty good for "fancy" print debug statements: https://github.com/cool-RR/pysnooper
I've caught quite a few bugs using this show-me-all-locals() approach...
boto3
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Bug in std:shared_mutex on Windows
Former AWS here.
My literal job for the last part of my time at AWS was "help triage bugs in the AWS SDK." This is by far the best repro I've ever seen for such an in-depth event.
Most of the tickets you get in open ticket trackers are incomplete [ https://github.com/boto/boto3/issues/4011 ] nonsensical [ https://github.com/boto/boto3/issues/4018 ] or weird [ https://github.com/boto/boto3/issues/358 ].
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AWS Boto3: Clients vs Resources - DynamoDB
Recently, my colleague brought up the difficulty of using the AWS SDK for Python (Boto3) while working with DynamoDB, especially the cumbersome mapping of AttributeValue objects on the Table operations. One of the easiest ways to get around this difficulty is to switch from the clients interface to the resources interface.
- Asynchronous Python lib to work with Amazon SQS
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Beginning Python: Project Management With PDM
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example I've decided to expand our math functionality with NumPy. pdm add is what's used to add dependencies like this to our project:
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Creating RSS feeds for language/module specific AWS SDK updates
The updates could be parsed from the github repo's CHANGELOG files (ex: javascript, java, python). I'm picturing an RSS feed generated for a specific language and module (ex: python s3, javascript s3, java sqs)
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Teaching boto3 to store floats and datetime objects in DynamoDB
This can be quite annoying because it makes you wonder why the high-level API isn't able to deal with these common data types. Part of the reason for this is most likely that floats in Python can be counter-intuitive, so Decimal is a better data type if you want numbers to behave as non-computer-scientists expect it. To learn more about these complexities, check out this discussion on GitHub about implementing float support in boto3 and the Python documentation on the subject. Additionally, DynamoDB has no native DateTime data type, so there is no straightforward mapping.
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Interacting with Amazon S3 using AWS Data Wrangler (awswrangler) SDK for Pandas: A Comprehensive Guide
AWS Data Wrangler is a Python library that simplifies the process of interacting with various AWS services, built on top of some useful data tools and open-source projects such as Pandas, Apache Arrow and Boto3. It offers streamlined functions to connect to, retrieve, transform, and load data from AWS services, with a strong focus on Amazon S3.
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Migrate 5 TB S3 bucket from one AWS account to another
Alternatively, you could create a Python script using either Boto3 or her asynchronous sister, aioBoto3 that will spin through the contents of the origin bucket and move it over to the destination.
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Growing Outside of Work: My Journey with the Cloud Resume Challenge
Once my site was stood up, I needed to build out the user count API. Through the console, I set up a DynamoDB table and created a user count item. Getting my lambda to interface with AWS resources was a breeze with the Boto3 SDK. You can see my Python code that increments the user count whenever someone visits the site here. The key is the usage of the update_item method that comes from Boto3.
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Logging code mess
If you want to get a feel for what kind of logging and how much logging is done in projects, boto3 is a very widely used SDK created by Amazon: https://github.com/boto/boto3
What are some alternatives?
snoop - Snoop — инструмент разведки на основе открытых данных (OSINT world)
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
icecream - 🍦 Never use print() to debug again.
aws-cli - Universal Command Line Interface for Amazon Web Services
snoop - A powerful set of Python debugging tools, based on PySnooper
apache-libcloud - Apache Libcloud is a Python library which hides differences between different cloud provider APIs and allows you to manage different cloud resources through a unified and easy to use API.
django-modelcluster - Django extension to allow working with 'clusters' of models as a single unit, independently of the database
boto - For the latest version of boto, see https://github.com/boto/boto3 -- Python interface to Amazon Web Services
python-devtools - Dev tools for python
Telethon - Pure Python 3 MTProto API Telegram client library, for bots too!
pdbpp - pdb++, a drop-in replacement for pdb (the Python debugger)
google-api-python-client - 🐍 The official Python client library for Google's discovery based APIs.