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Python drawer
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Python drawer
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…
Python drawer
https://gertjanvandenburg.com/blog/wheels/
Gertjanvandenburg
Building Python Platform Wheels for Packages with Binary Extensions
Python drawer
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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http://www.blog.pythonlibrary.org/2019/10/23/a-brief-intro-to-pysimplegui/
Mouse Vs Python
A Brief Intro to PySimpleGUI - Mouse Vs Python
Create a cross-platform GUI the simple way with PySimpleGUI
Python drawer
https://www.sitepoint.com/keras-digit-recognition-tutorial/
SitePoint
A Beginner’s Guide to Keras: Digit Recognition in 30 Minutes
Want to create an artificial neural network? Learn step by step how to create a model for recognizing handwritten digits.
Python drawer
https://blog.reviewnb.com/reproducible-notebooks/
ReviewNB Blog
Reproducible Jupyter Notebooks with Docker
Reproducing the computational steps in your own or somebody else’s notebook is fraught with perils. Primarily because there’s no way to capture environment information (OS, dependencies etc.) in a notebook. In this blog post, we are going to show you how…
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https://nbviewer.jupyter.org/github/friggeri/notebooks/blob/master/tracking_inconsistencies_in_notebooks.ipynb
nbviewer.jupyter.org
Notebook on nbviewer
Check out this Jupyter notebook!
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https://medium.com/inside-bux/algorithmic-trading-based-on-technical-analysis-in-python-4ad165d426f2
Medium
Algorithmic trading based on Technical Analysis in Python
Learn how to create and implement trading strategies based on Technical Analysis!
Python drawer
https://www.dataquest.io/blog/python-if-else/
Dataquest
Python if else Tutorial: Control the Flow of Your Code – Dataquest
Learn how to use if, else, and elif in this free Python tutorial. Learn to control your code while analyzing real-world data.
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https://nickymarino.com/2019/10/02/using-mlrecommender/
Nickymarino
How to Build a Song Recommender Using Create ML MLRecommender
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https://hackingandslacking.com/the-art-of-routing-in-flask-2ee13d9c11bc
Medium
The Art of Routing in Flask
Empower your Flask application to grow dynamically with intelligent route definition.
Python drawer
https://engineeringblog.yelp.com/2019/10/discovering-popular-dishes-with-deep-learning.html
Yelp
Discovering Popular Dishes with Deep Learning
Discovering Popular Dishes with Deep Learning Anna F. and Parthasarathy Gopavarapu, Machine Learning Engineers Oct 8, 2019 Introduction Yelp is home to nearly 200 million user-submitted reviews and even more...
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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://github.com/tuxu/ipynb-quicklook
GitHub
GitHub - tuxu/ipynb-quicklook: A Quick Look generator for Jupyter/IPython notebooks without further dependencies
A Quick Look generator for Jupyter/IPython notebooks without further dependencies - GitHub - tuxu/ipynb-quicklook: A Quick Look generator for Jupyter/IPython notebooks without further dependencies
Python drawer
https://github.com/pygeos/pygeos
GitHub
GitHub - pygeos/pygeos: Wraps GEOS geometry functions in numpy ufuncs.
Wraps GEOS geometry functions in numpy ufuncs. Contribute to pygeos/pygeos development by creating an account on GitHub.
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https://github.com/fuzzitdev/pythonfuzz
GitHub
GitHub - fuzzitdev/pythonfuzz: coverage guided fuzz testing for python
coverage guided fuzz testing for python. Contribute to fuzzitdev/pythonfuzz development by creating an account on GitHub.
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https://github.com/samuelcolvin/pydantic/
GitHub
GitHub - pydantic/pydantic: Data validation using Python type hints
Data validation using Python type hints. Contribute to pydantic/pydantic development by creating an account on GitHub.
Python drawer
https://github.com/sobolevn/safe-assert
GitHub
sobolevn/safe-assert
Safe and composable assert for Python that can be used together with optimised mode - sobolevn/safe-assert
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https://www.asmeurer.com/removestar/
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https://gist.github.com/shakna-israel/03172c2c06e1f6622764541dc8b4246b
Gist
Obfuscating Python
Obfuscating Python. GitHub Gist: instantly share code, notes, and snippets.