Collection of useful data science topics along with articles and videos.
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- MLOps
- Testing
- Productive Tools
- Python Helper Tools
- Tools for Deployment
- Speed-up Tools
- Math Tools
- Machine Learning
- Natural Language Processing
- Computer Vision
- Time Series
- Feature Engineering
- Visualization
- Mathematical Programming
- Scraping
- Python
- Terminal
- Linear Algebra
- Data Structure
- Statistics
- Web Applications
- Share Insights
- Cool Tools
- Learning Tips
- Productive Tips
- VSCode
- Book Review
- Data Science Portfolio
| Title |
Article |
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Video |
| Introduction to DVC: Data Version Control Tool for Machine Learning Projects |
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| Introduction to Hydra.cc: A Powerful Framework to Configure your Data Science Projects |
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| Introduction to Weight & Biases: Track and Visualize your Machine Learning Experiments in 3 Lines of Code |
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| Kedro — A Python Framework for Reproducible Data Science Project |
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| Orchestrate a Data Science Project in Python With Prefect |
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| Orchestrate Your Data Science Project with Prefect 2.0 |
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| DagsHub: a GitHub Supplement for Data Scientists and ML Engineers |
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| 4 pre-commit Plugins to Automate Code Reviewing and Formatting in Python |
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| BentoML: Create an ML Powered Prediction Service in Minutes |
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| How to Structure a Data Science Project for Readability and Transparency |
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| How to Structure an ML Project for Reproducibility and Maintainability |
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| GitHub Actions in MLOps: Automatically Check and Deploy Your ML Model |
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| Create Robust Data Pipelines with Prefect, Docker, and GitHub |
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| Create a Maintainable Data Pipeline with Prefect and DVC |
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| Build a Full-Stack ML Application With Pydantic And Prefect |
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| DVC + GitHub Actions: Automatically Rerun Modified Components of a Pipeline |
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| Create Observable and Reproducible Notebooks with Hex |
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| Title |
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| Pytest for Data Scientists |
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| 4 Lessor-Known Yet Awesome Tips for Pytest |
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| Great Expectations: Always Know What to Expect From Your Data |
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| Validate Your pandas DataFrame with Pandera |
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| Introduction to Schema: A Python Libary to Validate your Data |
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| DeepDiff — Recursively Find and Ignore Trivial Differences Using Python |
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| Checklist — Behavioral Testing of NLP Models |
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| How to Create Fake Data with Faker |
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| Detect Defects in a Data Pipeline Early with Validation and Notifications |
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| Hypothesis and Pandera: Generate Synthesis Pandas DataFrame for Testing |
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| 3 Tools to Track and Visualize the Execution of your Python Code |
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| 2 Tools to Automatically Reload when Python Files Change |
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| 3 Ways to Get Notified with Python |
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| How to Create Reusable Command-Line |
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| How to Strip Outputs and Execute Interactive Code in a Python Script |
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| Sending Slack Notifications in Python with Prefect |
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Article |
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Video |
| Pydash: A Kitchen Sink of Missing Python Utilities |
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| Write Clean Python Code Using Pipes |
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| Introducing FugueSQL — SQL for Pandas, Spark, and Dask DataFrames |
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| Fugue and DuckDB: Fast SQL Code in Python |
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| How to Effortlessly Publish your Python Package to PyPI Using Poetry |
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| Typer: Build Powerful CLIs in One Line of Code using Python |
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| Cython-A Speed-Up Tool for your Python Function |
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| Train your Machine Learning Model 150x Faster with cuML |
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| SymPy: Symbolic Computation in Python |
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| How to Monitor And Log your Machine Learning Experiment Remotely with HyperDash |
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| How to Efficiently Fine-Tune your Machine Learning Models |
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| How to Learn Non-linear Dataset with Support Vector Machines |
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| Introduction to IBM Federated Learning: A Collaborative Approach to Train ML Models on Private Data |
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| 3 Steps to Improve your Efficiency when Hypertuning ML Models |
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| human-learn: Create a Human Learning Model by Drawing |
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| Patsy: Build Powerful Features with Arbitrary Python Code |
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| SHAP: Explain Any Machine Learning Model in Python |
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| Predict Movie Ratings with User-Based Collaborative Filtering |
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| River: Online Machine Learning in Python |
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| Human-Learn: Rule-Based Learning as an Alternative to Machine Learning |
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Natural Language Processing
| Title |
Article |
Repository |
Video |
| Sentiment Analysis of LinkedIn Messages |
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| Find Common Words in Article with Python Module Newspaper and NLTK |
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| How to Tokenize Tweets with Python |
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| How to Solve Analogies with Word2Vec |
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| What is PyTorch |
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| Convolutional Neural Network in Natural Language Processing |
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| Supercharge your Python String with TextBlob |
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| pyLDAvis: Topic Modelling Exploration Tool That Every NLP Data Scientist Should Know |
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| Streamlit and spaCy: Create an App to Predict Sentiment and Word Similarities with Minimal Domain Knowledge |
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| Build a Robust Conversational Assistant with Rasa |
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| I Analyzed 2k Data Scientist and Data Engineer Jobs and This is What I Found |
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| Checklist — Behavioral Testing of NLP Models |
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| PRegEx: Write Human-Readable Regular Expressions in Python |
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| Texthero: Text Preprocessing, Representation, and Visualization for a pandas DataFrame |
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| How to Create an App to Classify Dogs Using fastai and Streamlit |
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| Kats: a Generalizable Framework to Analyze Time Series Data in Python |
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| How to Detect Seasonality, Outliers, and Changepoints in Your Time Series |
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| 4 Tools to Automatically Extract Data from Datetime in Python |
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| 3 Ways to Extract Features from Dates with Python |
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| Similarity Encoding for Dirty Categories Using dirty_cat |
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| Snorkel — A Human-In-The-Loop Platform to Build Training Data |
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| Title |
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| How to Embed Interactive Charts on your Articles and Personal Website |
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| What I Learned from Scraping 15k Data Science Articles on Medium |
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| How to Create Interactive Plots with Altair |
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| How to Create a Drop-Down Menu and a Slide Bar for your Favorite Visualization Tool |
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| I Scraped more than 1k Top Machine Learning Github Profiles and this is what I Found |
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| Top 6 Python Libraries for Visualization: Which one to Use? |
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| Introduction to Yellowbrick: A Python Library to Visualize the Prediction of your Machine Learning Model |
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| Visualize Gender-Specific Tweets with Scattertext |
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| Visualize Your Team’s Projects Using Python Gantt Chart |
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| How to Create Bindings and Conditions Between Multiple Plots Using Altair |
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| How to Sketch your Data Science Ideas With Excalidraw |
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| Pyvis: Visualize Interactive Network Graphs in Python |
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| Build and Analyze Knowledge Graphs with Diffbot |
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| Observe The Friend Paradox in Facebook Data Using Python |
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| What skills and backgrounds do data scientists have in common? |
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| Visualize Similarities Between Companies With Graph Database |
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| Visualize GitHub Social Network with PyGraphistry |
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| Find the Top Bootcamps for Data Professionals From Over 5k Profiles |
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| floWeaver — Turn Flow Data Into a Sankey Diagram In Python |
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| atoti — Build a BI Platform in Python |
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| Analyze and Visualize URLs with Network Graph |
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| statsannotations: Add Statistical Significance Annotations on Seaborn Plots |
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| Title |
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| How to choose stocks to invest in with Python |
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| Maximize your Productivity with Python |
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| How to Find a Good Match with Python |
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| How to Solve a Staff Scheduling Problem with Python |
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| How to Find Best Locations for your Restaurants with Python |
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| How to Schedule Flights in Python |
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| How to Solve a Production Planning and Inventory Problem in Python |
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| Web Scrape Movie Database with Beautiful Soup |
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| top-github-scraper: Scrape Top Github Users and Repositories Based On a Keyword in One Line of Code |
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| Numpy Tricks for your Data Science Projects |
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| Timing for Efficient Python Code |
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| How to Use Lambda for Efficient Python Code |
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| Python Tricks for Keeping Track of Your Data |
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| Boost Your Efficiency With Specialized Dictionary Implementations in Python |
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| Dictionary as an Alternative to If-Else |
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| How to Use Zip to Manipulate a List of Tuples |
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| Get the Most out of Your Array With These Four Numpy Methods |
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| 3 Python Tricks to Read, Create, and Run Multiple Files Automatically |
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| How to Exclude the Outliers in Pandas DataFrame |
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| Python Clean Code: 6 Best Practices to Make Your Python Functions More Readable |
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| 3 Techniques to Effortlessly Import and Execute Python Modules |
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| Simplify Your Functions with Functools’ Partial and Singledispatch |
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| How to Create and View Interactive Cheatsheets on the Command-line |
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| Understand CSV Files from your Terminal with XSV |
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| Prettify your Terminal Text With Termcolor and Pyfiglet |
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| Stop Using Print to Debug in Python. Use Icecream Instead |
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| Rich: Generate Rich and Beautiful Text in the Terminal with Python |
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| Create a Beautiful Dashboard in your Terminal with Wtfutil |
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| 3 Tools to Monitor and Optimize your Linux System |
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| Ptpython: A Better Python REPL |
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| fd: a Simple but Powerful Tool to Find and Execute Files on the Command Line |
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| Speed Up your Command-Line Navigation with These 3 Tools |
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| Python and Data Science Snippets on the Command Line |
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| Can Datasets of a Dinosaur and a Circle have Identical Statistics? |
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| Introduction to One-Way ANOVA: A Test to Compare the Means between More than Two Groups |
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| Bayes’ Theorem, Clearly Explained with Visualization |
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| Detect Change Points with Bayesian Inference and PyMC3 |
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| Bayesian Linear Regression with Bambi |
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| Earn More Salary as a Coder — Higher Degree or More Years of Experience? |
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| How to Build a Matrix Module from Scratch |
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| Linear Algebra for Machine Learning: Solve a System of Linear Equations |
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| Convex Hull: An Innovative Approach to Gift-Wrap your Data |
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| How to Visualize Social Network With Graph Theory |
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| How to Search Data with KDTree |
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| How to Find the Nearest Hospital with a Voronoi Diagram |
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| How to Create an Interactive Startup Growth Calculator with Python |
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| Streamlit and spaCy: Create an App to Predict Sentiment and Word Similarities with Minimal Domain Knowledge |
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| PyWebIO: Write Interactive Web App in Script Way Using Python |
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| PyWebIO 1.3.0: Add Tabs, Pin Input, and Update an Input Based on Another Input |
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| Create an App to Deal with Boredom Using PyWebIO |
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| Build a Robust Workflow to Visualize Trending GitHub Repositories in Python |
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| Introduction to Datapane: A Python Library to Build Interactive Reports |
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| Datapane’s New Features: Create a Beautiful Dashboard in Python in a Few Lines of Code |
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| Introduction to Datasette: Explore and Publish Your Data in One Line of Code |
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| How to Share your Python Objects Across Different Environments in One Line of Code |
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| How to Share your Jupyter Notebook in 3 Lines of Code with Ngrok |
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| Introduction to Deepnote: Real-time Collaboration on Jupyter Notebook |
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| Simulate Real-life Events in Python Using SimPy |
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| How to Create Mathematical Animations like 3Blue1Brown Using Python |
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| How to Learn Data Science when Life does not Give You a Break |
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| How to Accelerate your Data Science Career by Putting yourself in the Right Environment |
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| To become a Better Data Scientist, you need to Think like a Programmer |
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| How not to be Overwhelmed with Data Science |
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| How to Organize your Data Science Articles with Github |
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| 5 Reasons why you should Switch from Jupyter Notebook to Scripts |
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| 7 Reasons Why you Should Start Documenting your Code |
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| How to Leverage Visual Studio Code for your Data Science Projects |
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| Top 4 Code Viewers for Data Scientist in VSCode |
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| Incorporate the Best Practices for Python with These Top 4 VSCode Extensions |
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| Boost Your Efficiency with Customized Code Snippets on VSCode |
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| Top 9 Keyboard Shortcuts in VSCode for Data Scientists |
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| Python Machine Learning: A Comprehensive Handbook for Machine Learning |
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| How to Create an Elegant Website for your Data Science Portfolio in 10 minutes |
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| Build an Impressive Github Profile in 3 Steps |
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