Lessons about Python (page 21)
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· stackoverflow.blog
The Incredible Growth of Python
Shared by
Read on stackoverflow.blog- Python


Tech Insights· github.com
A Human's Ultimate Guide to setup.py:
Shared by
Read on github.com- Packaging
- Pip
- Python
- Setup

blog.patricktriest.com
A Data-Driven Approach to Cryptocurrency Speculation
A data-driven approach to cryptocurrency (Bitcoin, Ethereum, Litecoin, Ripple etc.) market analysis and visualization using Python.
Flávio Juvenal

Tech Insights· blog.patricktriest.com
A Data-Driven Approach to Cryptocurrency Speculation
From blog.patricktriest.com
A data-driven approach to cryptocurrency (Bitcoin, Ethereum, Litecoin, Ripple etc.) market analysis and visualization using Python.
Shared by
Read on blog.patricktriest.com- Bitcoin
- Cryptocurrency
- Data
- Python


Tech Insights· python.org
If a dependency is always present for a given Python version but needs to be installed for another, use environment markers in your
requirements.txt#environment-markersShared by
Read on python.org- Dependency Management
- Python
- Requirements

github.com
usaddress: a Python library for parsing unstructured address strings into address components:
:us: a python library for parsing unstructured United States address strings into address components - datamade/usaddress
Flávio Juvenal

Tech Insights· github.com
usaddress: a Python library for parsing unstructured address strings into address components:
From github.com
:us: a python library for parsing unstructured United States address strings into address components - datamade/usaddress
Shared by
Read on github.com- Library
- Nlp
- Python

caktusgroup.com
DRYer Django test code with subtests
Using subtests can help Python developers write cleaner code. Find out how.
Flávio Juvenal

Tech Insights· caktusgroup.com
DRYer Django test code with subtests
From caktusgroup.com
Using subtests can help Python developers write cleaner code. Find out how.
Shared by
Read on caktusgroup.com- Django
- Dry
- Python
- Test
- Tests


Tech Insights· medium.com
Custom context managers in Python unit tests for better fixtures:
Shared by
Read on medium.com- Python
- Test

youtube.com
Does Code Quality Really Matter? (Answer: Yes, but the details are complex)
Flávio Juvenal

Tech Insights· youtube.com
Does Code Quality Really Matter? (Answer: Yes, but the details are complex)
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Read on youtube.com- Code
- Python
- Quality
Tech Insights
If you set the parameter
side_effectinmock.patch()as an iterable each call to the mock will return the next value from the iterable.Shared by
- Mock
- Python
- Test


Tech Insights· realpython.com
Avoid the most diabolical python antipattern
Shared by
Read on realpython.com- Python

urllib3.readthedocs.io
Configure retries on your requests #module-urllib3.util.retry
Useful methods for working with http.client, completely decoupled from code specific to urllib3. At the very core, just like its predecessors, urllib3 is built on top of http.client – the lowest le...
Carlos Coelho

Tech Insights· urllib3.readthedocs.io
Configure retries on your requests #module-urllib3.util.retry
From urllib3.readthedocs.io
Useful methods for working with http.client, completely decoupled from code specific to urllib3. At the very core, just like its predecessors, urllib3 is built on top of http.client – the lowest le...
Shared by
Read on urllib3.readthedocs.io- Http
- Python
- Requests

docs.python-requests.org
If you need per-service configuration when interacting with an HTTP service, use Transport Adapters from python-requests #transport-adapters
Carlos Coelho

Tech Insights· docs.python-requests.org
If you need per-service configuration when interacting with an HTTP service, use Transport Adapters from python-requests #transport-adapters
Shared by
Read on docs.python-requests.org- Http
- Python
- Requests

hackernoon.com
Advantages and Disadvantages of Django:
The Fastest Solution For Developing; Django-Advantages & Disadvantages
Lais Varejão

Tech Insights· hackernoon.com
Advantages and Disadvantages of Django:
From hackernoon.com
The Fastest Solution For Developing; Django-Advantages & Disadvantages
Shared by
Read on hackernoon.com- Django
- Python


Tech Insights· medium.com
Interesting series about 100 days programming with python:
Shared by
Read on medium.com- Python

revsys.com
Use priority workers to run celery tasks
Using Celery and Redis for Python asynchronous workers. Part of our 12 Days of Performance Series.
Carlos Coelho

Tech Insights· revsys.com
Use priority workers to run celery tasks
From revsys.com
Using Celery and Redis for Python asynchronous workers. Part of our 12 Days of Performance Series.
Shared by
Read on revsys.com- Celery
- Django
- Python
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