Lessons about Python (page 16)
The links, tools and tips our engineers and designers share with each other, one “today I learned” at a time.
- lessons shared
- 353
- people sharing
- 27
- database started in
- 2016








Tech Insights· medium.com
Great guide for using mocks in python tests
Shared by
Read on medium.com- Python
- Unit Tests

snyk.io
Python Security Best Practices Cheat Sheet
In this installment of our cheat sheet series, we’re going to cover the best practices for Python security.
Gustavo Carvalho

Tech Insights· snyk.io
Python Security Best Practices Cheat Sheet
From snyk.io
In this installment of our cheat sheet series, we’re going to cover the best practices for Python security.
Shared by
Read on snyk.io- Python
- Security

locust.io
Open source load testing tool
An open source load testing tool. Define user behaviour with Python code, and swarm your system with millions of simultaneous users.
Gustavo Carvalho

Tech Insights· locust.io
Open source load testing tool
From locust.io
An open source load testing tool. Define user behaviour with Python code, and swarm your system with millions of simultaneous users.
Shared by
Read on locust.io- Benchmark
- Load Testing
- Python



kanoki.org
Python Itertools: For a faster and memory efficient code
The reason python stands out from many other languages is because of it’s simplicity and easy to work with, and the data science community has put the work in to create the plumbing it needs to solve complex computational problems and emphasizes productivity and readability. However many complains that it’s slow and doesn’t perform very well on a large set of data. There are lot of effective and memory efficient python modules which are not well known among the community and especially beginners doesn’t learn those things in MOOC’s. Since MOOC’s is a way to introduce you with the python…
Gustavo Carvalho

Tech Insights· kanoki.org
Python Itertools: For a faster and memory efficient code
From kanoki.org
The reason python stands out from many other languages is because of it’s simplicity and easy to work with, and the data science community has put the work in to create the plumbing it needs to solve complex computational problems and emphasizes productivity and readability. However many complains that it’s slow and doesn’t perform very well on a large set of data. There are lot of effective and memory efficient python modules which are not well known among the community and especially beginners doesn’t learn those things in MOOC’s. Since MOOC’s is a way to introduce you with the python…
Shared by
Read on kanoki.org- Itertools
- Python




Tech Insights· github.com
Awesome Python Security resources
Shared by
Read on github.com- Python
- Security


Tech Insights· stackoverflow.com
Easy broker-agnostic way to get number of tasks in a Celery queue:
Shared by
Read on stackoverflow.com- Celery
- Python


Tech Insights· github.com
pytest-race allows you to test race conditions in your codebase
Shared by
Read on github.com- Pytest
- Python
- Testing

ses4j.github.io
Optimizing performance in Django REST Framework endpoints by avoiding N+1 problem
Solve slow Django REST framework API performance problems by eager-loading data, instead of inefficient database querying due to nested serializers.
Hugo Bessa

Tech Insights· ses4j.github.io
Optimizing performance in Django REST Framework endpoints by avoiding N+1 problem
From ses4j.github.io
Solve slow Django REST framework API performance problems by eager-loading data, instead of inefficient database querying due to nested serializers.
Shared by
Read on ses4j.github.io- Django
- Django Rest Framework
- Optimization
- Python
stackoverflow.com
In Python >= 3.6,
__init_subclass__and__set_name__are simpler alternatives to most of metaclasses uses:Flávio Juvenal
Tech Insights· stackoverflow.com
In Python >= 3.6,
__init_subclass__and__set_name__are simpler alternatives to most of metaclasses uses:Shared by
Read on stackoverflow.com- Metaclass
- Python


Tech Insights· github.com
radoncan help you keep track of code metrics such as cyclomatic complexityShared by
Read on github.com- Code Metrics
- Python


Tech Insights· model-mommy.readthedocs.io
How to not use random data with model mommy: #recipes
Shared by
Read on model-mommy.readthedocs.io- Python
- Tests


Tech Insights· pypi.org
Nice library to work with holidays in Python, avoiding hard-coded dates
Shared by
Read on pypi.org- Python
Book a call
Found it useful?
Let’s put it to work.
Tell us about your product and the problem in front of you. We’ll bring what we’ve learned on real projects.
Tell us about your product, and we’ll bring what we’ve learned.
Still prefer the good old email? Contact us



