I created a GitHub repository explaining the complete process of downloading several thousand submissions and comments from any public subreddit and performing Data and Text Mining on them using scaCy, pandas, matplotlib, seaborn, word_cloud and requests.
https://www.reddit.com/r/Python/comments/eeloj8/i_created_a_github_repository_explaining_the/
https://www.reddit.com/r/Python/comments/eeloj8/i_created_a_github_repository_explaining_the/
reddit
[deleted by user]
News about the programming language Python. If you have something to teach others post here. If you have questions or are a newbie use r/learnpython.
Complete Beginner’s Guide to Processing Whatsapp Data with Python
Making use of basic Python methods…
https://towardsdatascience.com/complete-beginners-guide-to-processing-whatsapp-data-with-python-781c156b5f0b
Making use of basic Python methods…
https://towardsdatascience.com/complete-beginners-guide-to-processing-whatsapp-data-with-python-781c156b5f0b
luka1199 / geo-heatmap
🗺 Generate an interactive geo heatmap from your Google location data
https://github.com/luka1199/geo-heatmap
🗺 Generate an interactive geo heatmap from your Google location data
https://github.com/luka1199/geo-heatmap
GitHub
GitHub - luka1199/geo-heatmap: :world_map: Generate an interactive geo heatmap from your Google location data
:world_map: Generate an interactive geo heatmap from your Google location data - luka1199/geo-heatmap
Tuning dlib shape predictor hyperparameters to balance speed, accuracy, and model size
In this tutorial, you will learn how to optimally tune dlib’s shape predictor ...
https://www.pyimagesearch.com/2019/12/23/tuning-dlib-shape-predictor-hyperparameters-to-balance-speed-accuracy-and-model-size/
In this tutorial, you will learn how to optimally tune dlib’s shape predictor ...
https://www.pyimagesearch.com/2019/12/23/tuning-dlib-shape-predictor-hyperparameters-to-balance-speed-accuracy-and-model-size/
How to efficiently loop through Pandas DataFrame
https://medium.com/swlh/how-to-efficiently-loop-through-pandas-dataframe-660e4660125d
https://medium.com/swlh/how-to-efficiently-loop-through-pandas-dataframe-660e4660125d
I created an AI to play "Flappy Bird": my first steps into AI (using Pygame and NEAT-python)
https://www.reddit.com/r/Python/comments/eg2be8/i_created_an_ai_to_play_flappy_bird_my_first/
https://www.reddit.com/r/Python/comments/eg2be8/i_created_an_ai_to_play_flappy_bird_my_first/
reddit
I created an AI to play "Flappy Bird": my first steps into AI...
Posted in r/Python by u/seppeEnZigie • 1,342 points and 73 comments
5 Python features I wish I had known earlier
Python tricks beyond lambda, map, and filter
https://towardsdatascience.com/5-python-features-i-wish-i-had-known-earlier-bc16e4a13bf4
Python tricks beyond lambda, map, and filter
https://towardsdatascience.com/5-python-features-i-wish-i-had-known-earlier-bc16e4a13bf4
Creating Interactive Dashboards from Jupyter Notebooks
Introduction
I am pleased to have another guest post from Duarte O.Carmo. He wrote
series of
posts ...
https://pbpython.com/interactive-dashboards.html
Introduction
I am pleased to have another guest post from Duarte O.Carmo. He wrote
series of
posts ...
https://pbpython.com/interactive-dashboards.html
Pbpython
Creating Interactive Dashboards from Jupyter Notebooks
This article discusses how to build an interactive dashboard to analyze reddit content and display interactive graphs of the result using Voilà.
Learning to Use Progress Bars in Python
Introduction to 4 different libraries (Command Line & UI)
https://towardsdatascience.com/learning-to-use-progress-bars-in-python-2dc436de81e5
Introduction to 4 different libraries (Command Line & UI)
https://towardsdatascience.com/learning-to-use-progress-bars-in-python-2dc436de81e5
5 Books that helped me learn Python, fast.
https://medium.com/swlh/books-that-helped-me-learn-python-fast-9e7458979d75
https://medium.com/swlh/books-that-helped-me-learn-python-fast-9e7458979d75
GoogleContainerTools / distroless
🥑 Language focused docker images, minus the operating system.
https://github.com/GoogleContainerTools/distroless
🥑 Language focused docker images, minus the operating system.
https://github.com/GoogleContainerTools/distroless
GitHub
GitHub - GoogleContainerTools/distroless: 🥑 Language focused docker images, minus the operating system.
🥑 Language focused docker images, minus the operating system. - GitHub - GoogleContainerTools/distroless: 🥑 Language focused docker images, minus the operating system.
What is if __name__ == '__main__' ?
By Lenin Mishra
So what is name ? Before we get rolling, I want you to create 2 python files. ...
https://www.pylenin.com/blogs/if-name-equal-to-main/
By Lenin Mishra
So what is name ? Before we get rolling, I want you to create 2 python files. ...
https://www.pylenin.com/blogs/if-name-equal-to-main/
Reshaping numpy arrays in Python — a step-by-step pictorial tutorial
This tutorial and cheatsheet…
https://towardsdatascience.com/reshaping-numpy-arrays-in-python-a-step-by-step-pictorial-tutorial-aed5f471cf0b
This tutorial and cheatsheet…
https://towardsdatascience.com/reshaping-numpy-arrays-in-python-a-step-by-step-pictorial-tutorial-aed5f471cf0b
Decision Tree Algorithm — Explained
All you need to know about Decision Trees and how to build and…
https://towardsdatascience.com/decision-tree-algorithm-explained-83beb6e78ef4
All you need to know about Decision Trees and how to build and…
https://towardsdatascience.com/decision-tree-algorithm-explained-83beb6e78ef4
opencv / open_model_zoo
Pre-trained Deep Learning models and samples (high quality and extremely fast)
https://github.com/opencv/open_model_zoo
Pre-trained Deep Learning models and samples (high quality and extremely fast)
https://github.com/opencv/open_model_zoo
GitHub
GitHub - openvinotoolkit/open_model_zoo: Pre-trained Deep Learning models and demos (high quality and extremely fast)
Pre-trained Deep Learning models and demos (high quality and extremely fast) - openvinotoolkit/open_model_zoo
Introduction to Functional Programming in Python
Time to roll up our sleeves and get started
https://medium.com/better-programming/introduction-to-functional-programming-in-python-3d26cd9cbfd7
Time to roll up our sleeves and get started
https://medium.com/better-programming/introduction-to-functional-programming-in-python-3d26cd9cbfd7
4 NumPy Tricks Every Python Beginner should Learn
Tricks for writing readable codes
https://towardsdatascience.com/4-numpy-tricks-every-python-beginner-should-learn-bdb41febc2f2
Tricks for writing readable codes
https://towardsdatascience.com/4-numpy-tricks-every-python-beginner-should-learn-bdb41febc2f2
Introduction to Priority Queues in Python
Learn to handle VIP data
https://towardsdatascience.com/introduction-to-priority-queues-in-python-83664d3178c3
Learn to handle VIP data
https://towardsdatascience.com/introduction-to-priority-queues-in-python-83664d3178c3
Learn Metaflow in 10 mins — Netflix’s Python/R Framework for Data Science
Spend more time modeling…
https://towardsdatascience.com/learn-metaflow-in-10-mins-netflixs-python-r-framework-for-data-scientists-2ef124c716e4
Spend more time modeling…
https://towardsdatascience.com/learn-metaflow-in-10-mins-netflixs-python-r-framework-for-data-scientists-2ef124c716e4