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A collection of curated Python resources from trustworthy sources.
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Python drawer
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Python drawer
https://www.pythonforthelab.com/blog/complete-guide-to-imports-in-python-absolute-relative-and-more/
Python for the Lab
Complete Guide to Imports in Python: Absolute, Relative, and More
How to plan your code so imports are clear and clean
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https://blogs.dropbox.com/tech/2019/10/how-dropbox-security-builds-better-tools-for-threat-detection-and-incident-response/
dropbox.tech
How Dropbox Security builds tools for threat detection and incident response
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Hacker News
Show HN: Change Python code while it's running using a reloading loop
Article
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Comments
GitHub
GitHub - julvo/reloading: Change Python code while it's running without losing state
Change Python code while it's running without losing state - julvo/reloading
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https://storiesinmypocket.com/articles/pycon-2019-people-pycon/
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http://blog.asrpo.com/python_gui_automation
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http://pljung.de/posts/easy-concurrency-in-python/
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https://skerritt.blog/divide-and-conquer-algorithms/
Skerritt.blog
Divide and Conquer Algorithms with Python Examples
Often I’ll hear about how you can optimise a for loop to be faster or how switch statements are faster than if statements. Most computers have over 1 core, with the ability to support multiple threads. Before worrying about optimising for loops or if statements…
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https://opensource.com/article/19/10/python-pylint-introduction
Opensource.com
Pylint: Making your Python code consistent
Pylint is a high-level Python style enforcer. While flake8 and black will take care of "local" style: where the newlines occur, how comments are formatted, or find issues like commented out code or bad practices in log formatting.
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https://tryexceptpass.org/article/continuous-builds-reporting-status/
tryexceptpass.org
Painless Status Reporting in GitHub Pull Requests - Designing CI/CD Systems
Report status from Docker containers in an automated CI/CD system into GitHub pull requests using Python
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https://www.pyimagesearch.com/2019/10/21/keras-vs-tf-keras-whats-the-difference-in-tensorflow-2-0/
PyImageSearch
Keras vs. tf.keras: What’s the difference in TensorFlow 2.0? - PyImageSearch
In this tutorial you’ll discover the difference between Keras and tf.keras. You'll also learn what’s new in TensorFlow 2.0.
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https://www.marsja.se/converting-html-to-a-jupyter-notebook/
Erik Marsja
Converting HTML to a Jupyter Notebook (.ipynb) - Erik Marsja
Learn how to scrape code from a webpage and save it as a Jupyter notebook. In this post, we'll use Beautifulsoup4, urllib, and json, to save HTML to .ipynb.
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https://towardsdatascience.com/https-medium-com-jovan-veljanoski-flying-high-with-vaex-analysis-of-over-30-years-of-flight-data-in-python-b224825a6d56
Medium
Flying high with Vaex: analysis of over 30 years of flight data in Python
Fast and efficient exploration and analysis of hundreds of millions of samples with the Python DataFrame library Vaex on a 5 year old…
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https://pythonspeed.com/articles/beyond-cprofile/
Python⇒Speed
Beyond cProfile: Choosing the right tool for performance optimization
There are different profilers you can use to measure Python performance. Learn about cProfile, sampling profilers, and logging, and when to use each.
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https://www.softkraft.co/7-common-mistakes-that-django-developers-make/
www.softkraft.co
7 Common Mistakes That Django Developers Make
Django is powerful web framework, but with power comes responsibility. In this article, we will cover common mistakes that are even seasoned Django developers make, yet most successful Django projects need to deal with these sooner or later.
This checklist…
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https://realpython.com/python-sleep/
Realpython
Python sleep(): How to Add Time Delays to Your Code – Real Python
Learn how to use Python's sleep() function to add time delays and pause your code with time.sleep(), decorators, threads, and asyncio.
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https://amir.rachum.com/blog/2019/10/16/descriptors/
Rachum
Python Attribute Access and the Descriptor Protocol
A deep dive into Python attribute access and the descriptor protocol.
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https://instagram-engineering.com/python-at-scale-strict-modules-c0bb9245c834
Medium
Python at Scale: Strict Modules
Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server…
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https://lptk.github.io/programming/2019/10/15/simple-essence-y-combinator.html
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https://blogs.oracle.com/solaris/reimplementing-a-solaris-in-python-gained-17x-performance-improvement-from-c
Oracle
Reimplementing a Solaris command in Python gained 17x performance improvement from C
Oracle Solaris & Oracle ZFS Storage Appliance, Security, Cryptography and general hints and tips.
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https://sobolevn.me/2019/10/complexity-waterfall
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http://dev.stephendiehl.com/numpile/