Debugging TensorFlow coverage
It started with a coverage.py issue:
Coverage not working for TensorFlow Model call function.
A ...
https://nedbatchelder.com//blog/201910/debugging_tensorflow_coverage.html
It started with a coverage.py issue:
Coverage not working for TensorFlow Model call function.
A ...
https://nedbatchelder.com//blog/201910/debugging_tensorflow_coverage.html
My Favorite New Features in Python 3.8
https://towardsdatascience.com/my-favorite-new-features-in-python-3-8-a95d7a0a31c9
https://towardsdatascience.com/my-favorite-new-features-in-python-3-8-a95d7a0a31c9
When to switch to Python 3.8
Python 3.8 was released in mid-October, but if you look at my recommendation for a base image for ...
https://pythonspeed.com/articles/major-python-release/
Python 3.8 was released in mid-October, but if you look at my recommendation for a base image for ...
https://pythonspeed.com/articles/major-python-release/
Python⇒Speed
When to switch to Python 3.9
Python 3.9 is now available–but should you switch to it immediately? And if not now, when? The short answer is, no, you probably don’t want to switch immediately; quite possibly you can’t switch immediately. To understand why, we need to consider Python packaging…
Cleaning Up Currency Data with Pandas
Introduction
The other day, I was using pandas to clean some messy Excel data that included ...
https://pbpython.com/currency-cleanup.html
Introduction
The other day, I was using pandas to clean some messy Excel data that included ...
https://pbpython.com/currency-cleanup.html
Pbpython
Cleaning Up Currency Data with Pandas
This article includes tips on how to clean up messy currency data in pandas so that you may convert the data to numeric formats for further analysis.
A Practical Introduction to Python Lambda Functions
https://levelup.gitconnected.com/a-practical-introduction-to-python-lambda-functions-3b4a0702b6a1
https://levelup.gitconnected.com/a-practical-introduction-to-python-lambda-functions-3b4a0702b6a1
PySimpleGUI / PySimpleGUI
Launched in 2018 Actively developed and supported. Supports tkinter, Qt, WxPython, Remi (in browser). Create custom layout GUI's simply. Python 2.7 & 3 Support. 100+ Demo programs & Cookbook for rapid start. Extensive documentation. Examples using Machine Learning(GUI, OpenCV Integration, Chatterbot), Floating Desktop Widgets, Matplotlib + Pyplo…
https://github.com/PySimpleGUI/PySimpleGUI
Launched in 2018 Actively developed and supported. Supports tkinter, Qt, WxPython, Remi (in browser). Create custom layout GUI's simply. Python 2.7 & 3 Support. 100+ Demo programs & Cookbook for rapid start. Extensive documentation. Examples using Machine Learning(GUI, OpenCV Integration, Chatterbot), Floating Desktop Widgets, Matplotlib + Pyplo…
https://github.com/PySimpleGUI/PySimpleGUI
GitHub
GitHub - PySimpleGUI/PySimpleGUI: Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment.…
Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, ...
5 lesser-known pandas tricks
5 lesser-known pandas tricks that help you be more productive
https://towardsdatascience.com/5-lesser-known-pandas-tricks-e8ab1dd21431
5 lesser-known pandas tricks that help you be more productive
https://towardsdatascience.com/5-lesser-known-pandas-tricks-e8ab1dd21431
Using TensorFlow 2 for State-of-the-Art Natural Language Processing
A guest post by Thomas Wolf and…
https://medium.com/tensorflow/using-tensorflow-2-for-state-of-the-art-natural-language-processing-102445cda54a
A guest post by Thomas Wolf and…
https://medium.com/tensorflow/using-tensorflow-2-for-state-of-the-art-natural-language-processing-102445cda54a
Calculating String Similarity in Python
Learn how to group together similar strings, and also how to…
https://towardsdatascience.com/calculating-string-similarity-in-python-276e18a7d33a
Learn how to group together similar strings, and also how to…
https://towardsdatascience.com/calculating-string-similarity-in-python-276e18a7d33a
cornellius-gp / gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
https://github.com/cornellius-gp/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
https://github.com/cornellius-gp/gpytorch
GitHub
GitHub - cornellius-gp/gpytorch: A highly efficient implementation of Gaussian Processes in PyTorch
A highly efficient implementation of Gaussian Processes in PyTorch - cornellius-gp/gpytorch
quantopian / zipline
Zipline, a Pythonic Algorithmic Trading Library
https://github.com/quantopian/zipline
Zipline, a Pythonic Algorithmic Trading Library
https://github.com/quantopian/zipline
GitHub
GitHub - quantopian/zipline: Zipline, a Pythonic Algorithmic Trading Library
Zipline, a Pythonic Algorithmic Trading Library. Contribute to quantopian/zipline development by creating an account on GitHub.
Image Classification With TensorFlow 2.0 ( Without Keras )
Image Classification is one of the…
https://becominghuman.ai/image-classification-with-tensorflow-2-0-without-keras-e6534adddab2
Image Classification is one of the…
https://becominghuman.ai/image-classification-with-tensorflow-2-0-without-keras-e6534adddab2
Python Range Tutorial: Learn to Use This Helpful Built-In Function
Python's range function is a great way to quickly generate a count of numbers within a range. ...
https://www.dataquest.io/blog/python-range-tutorial/
Python's range function is a great way to quickly generate a count of numbers within a range. ...
https://www.dataquest.io/blog/python-range-tutorial/
Dataquest
Python Range Tutorial: Learn to Use This Helpful Built-In Function
Python's range function is a great way to quickly generate a count of numbers within a range. Master this simple but powerful function in this tutorial.
Clone your voice in 5 minutes!
https://medium.com/@stasinskipawel/clone-your-voice-in-5-minutes-3aa358b03326
https://medium.com/@stasinskipawel/clone-your-voice-in-5-minutes-3aa358b03326
dbolya / yolact
A simple, fully convolutional model for real-time instance segmentation.
https://github.com/dbolya/yolact
A simple, fully convolutional model for real-time instance segmentation.
https://github.com/dbolya/yolact
GitHub
GitHub - dbolya/yolact: A simple, fully convolutional model for real-time instance segmentation.
A simple, fully convolutional model for real-time instance segmentation. - dbolya/yolact
Python Certification: Are Certificates a Waste of Money?
What’s the best Python certificate to get? Python certifications can cost up to thousands of ...
https://www.dataquest.io/blog/python-certification/
What’s the best Python certificate to get? Python certifications can cost up to thousands of ...
https://www.dataquest.io/blog/python-certification/
Dataquest
15 Hiring Managers Reveal If Python Certifications Are Worth It
What’s the best Python certificate? Python certifications can cost up to thousands of dollars, so are they worth your time and money?
Download Course Materials with A Simple Python Crawler
A crawler example to download course materials…
https://towardsdatascience.com/download-course-materials-with-a-simple-python-crawler-94e06d5f84b5
A crawler example to download course materials…
https://towardsdatascience.com/download-course-materials-with-a-simple-python-crawler-94e06d5f84b5
3 ways to create a Keras model with TensorFlow 2.0 (Sequential, Functional, and Model Subclassing)
Keras and TensorFlow 2.0 provide you with three methods to implement your own neural network ...
https://www.pyimagesearch.com/2019/10/28/3-ways-to-create-a-keras-model-with-tensorflow-2-0-sequential-functional-and-model-subclassing/
Keras and TensorFlow 2.0 provide you with three methods to implement your own neural network ...
https://www.pyimagesearch.com/2019/10/28/3-ways-to-create-a-keras-model-with-tensorflow-2-0-sequential-functional-and-model-subclassing/