Medium links of interest
- Downloaded to Downloads
- Run the code below which is in download_medium_to_markdown.py
- Grab the code and then put into this markdown page
Next Steps:
- 🟥: Not implemented - read as TXT file, put into a df, then sort by some subheader
- 🟨: Legacy material available, to be updated or re-written
- 🟦: Available, modification required
- 🟩: Good to go
Code to Download
# Setup
import glob
import os
from markdownify import markdownify
print('Current Directory:',os.getcwd(), '\n'* 2)
print(os.listdir("../Downloads/medium-exports"))
# Python Example
os.chdir("../Downloads/medium-exports")
file_list = list(glob.iglob("bookmarks/*.html"))
file_list.sort()
for num, name in enumerate(file_list, start=1):
print("{0:3}: {1}".format(num, name))
md_text_list = []
for file_path in file_list:
html_file = open(file_path, "r").read()
md_text = markdownify(html_file)
md_text_list.append("##" + md_text.split("###")[1])
text_file = open("bookmark_list.md", "w")
text_file.write("\n".join(md_text_list))
text_file.close()
Medium Links of Interest
How To Download Your Stories From Medium
A simple way to export your Medium’s reading list to a Markdown file
Sac500’s bookmarks, page 1
- Five Essential Presenting Tips for Data Professionals (2022-08-2 11:30 pm)
- Train a Neural Network to Detect Breast MRI Tumors with PyTorch (2022-08-2 10:03 pm)
- Complete Step-by-step Genetic Algorithm from Scratch for Global Optimization (2022-08-2 10:02 pm)
- Model Selection and Hyperparameter Tuning on Amazon Kindle Book Reviews with Python (2022-08-2 12:46 pm)
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- PRegEx: Write Human-Readable Regular Expressions in Python (2022-07-28 12:57 am)
- Can Quantum Machine Learning Help Us Solve Climate Change? (2022-07-25 12:28 am)
- Gmail Data Analysis using Python (2022-07-23 11:47 am)
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- Bayesian Deep Learning & Estimating Uncertainty (2022-07-15 11:26 pm)
- A recipe to empirically answer any question quickly (2022-07-13 7:10 pm)
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- Property Valuations — A Geospatial Visualisation using Data from Rightmove and Airbnb (2022-07-11 5:33 am)
- How Neural Networks Actually Work — Python Implementation (Simplified) (2022-07-10 4:31 am)
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- Understanding l1 and l2 Regularization (2022-05-15 9:43 am)
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- Sonification — When You Go Beyond the Visual Representation Of Data (2022-05-6 11:05 am)
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- Graph visualisation basics with Python Part I: Flowcharts (2022-04-18 11:20 pm)
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- Beginner’s Guide to the GPT-3 Model (2022-03-30 2:24 am)
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- How to Write Exceptional Functions (2022-03-29 2:42 am)
- LSTM Recurrent Neural Networks — How to Teach a Network to Remember the Past (2022-03-28 4:06 pm)
Sac500’s bookmarks, page 2
- Plotting Time Series Boxplots (2022-03-28 12:12 pm)
- Random Forests Walkthrough — Why are they Better than Decision Trees? (2022-03-28 12:09 pm)
- Explainable AI (XAI) with Class Maps (2022-03-27 11:12 pm)
- A Step-by-Step Introduction to Hyperparameter Tuning, Grid Search and Bayesian Optimization (2022-03-27 8:29 pm)
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- Modern Portfolio Theory with Python (2022-03-25 1:09 pm)
- Numpy explained- Language of Numpy (2022-03-25 12:40 pm)
- How to Use break, continue and pass in Python Programming (2022-03-23 1:14 pm)
- Autoencoders (AE) — A Smart Way to Process Your Data Using Unsupervised Neural Networks (2022-03-22 10:32 am)
- Teach (and learn) the Fourier transform geometrically! (2022-03-21 11:01 pm)
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- How to Make a Treemap in Python (2022-03-21 1:57 am)
- DeepMind just published a mind blowing paper: PathNet. (2022-03-21 1:55 am)
- 5 Python Libraries That Will Help Automate Your Life (2022-03-21 1:55 am)
- Graph Neural Networks: a learning journey since 2008 — Python & Deep Walk (2022-03-21 1:53 am)
- Introduction to Artificial Intelligence, Machine Learning, and Deep Learning with Tensorflow (2022-03-21 1:53 am)
- The Intuition Behind GANs for Beginners (2022-03-21 1:53 am)
- The world’s first medical AI in Production — eye diagnosis by Deepmind (2022-03-21 1:53 am)
- Text Summarization with NLP: TextRank vs Seq2Seq vs BART (2022-03-19 4:45 pm)
- Data Contracts — ensure robustness in your data mesh architecture (2022-03-19 11:32 am)
- Dimensionality reduction with PCA and t-SNE in Python (2022-03-18 10:30 am)
- What data scientists can learn from economists (2022-03-18 1:54 am)
- Visualizing Financial Data: Alternatives to matplotlib (2022-03-12 12:41 pm)
- MLOps: Building ML Pipeline Part-1 (2022-03-12 12:40 pm)
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- A Few Reasons To Grid And Resample Your Geospatial Data (2022-03-10 12:42 pm)
- Explore and Visualize Geospatial Data using Leafmap Python Package (2022-03-10 12:41 pm)
- Strategy Crash Course For Data Scientists (2022-03-10 12:41 pm)
- Translate long PDF-Reports in Python (2022-03-9 7:35 pm)
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- Python Decorators in 10 minutes (2022-03-1 3:58 pm)
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- The 5 Most Common Classification Algorithms for Machine Learning (2022-02-27 1:33 pm)
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- Demonstrating the power of feature engineering — Part I (2022-02-27 1:32 pm)
- Bayesian Networks: how to make Computers infer Cause and Effect (2022-02-27 1:32 pm)
- Python probability game puzzle for data scientists (2022-02-27 1:31 pm)
- Anomaly Detection in a Machine Learning Scoring Model (2022-02-27 1:31 pm)
- Interpretable Machine Learning using SHAP — theory and applications (2022-02-27 1:27 pm)
- Everything You Need to Know About Ranking with Pandas (2022-02-27 12:59 pm)
- Level Up with Python: Quickly Produce PDFs with Stunning Visuals (2022-02-27 12:51 am)
- 20 Examples to Master Filtering Pandas DataFrames (2022-02-25 2:23 pm)
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- Creating Beautiful River Maps with Python (2022-02-25 11:38 am)
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- CNN’s to Predict Process Failures (2021-12-20 12:18 pm)
- Introduction to SHAP with Python (2021-12-19 11:54 pm)
Sac500’s bookmarks, page 3
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Sac500’s bookmarks, page 4
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Sac500’s bookmarks, page 5
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Sac500’s bookmarks, page 7
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- Introduction to SQL in Python for Data Scientists (2020-07-1 10:27 pm)
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- Getting started with APIs in Python to Gather Data (2020-06-28 9:55 pm)
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- Build a web data dashboard in just minutes with Python (2020-06-28 9:55 pm)
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