Data Science
Collection of useful data science topics along with articles and videos.
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How to Download the Code in This Repository to Your Local Machine
To download the code in this repo, you can simply use git clone
git clone https://github.com/khuyentran1401/Data-science
Contents
- MLOps
- Data Management Tools
- 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
- Logging and Debugging
- Linear Algebra
- Data Structure
- Statistics
- Web Applications
- Share Insights
- Cool Tools
- Learning Tips
- Productive Tips
- VSCode
- Book Review
- Data Science Portfolio
MLOps
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Stop Hard Coding in a Data Science Project β Use Configuration Files Instead |
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Poetry: A Better Way to Manage Python Dependencies |
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Git for Data Scientists: Learn Git through Practical Examples |
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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 β 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 Maintainability (with DVC) |
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How to Structure an ML Project for Reproducibility and Maintainability (with Prefect) |
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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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Streamline Code Updates with DVC and GitHub Actions |
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Create Observable and Reproducible Notebooks with Hex |
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Build Reliable Machine Learning Pipelines with Continuous Integration |
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Automate Machine Learning Deployment with GitHub Actions |
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How to Build a Fully Automated Data Drift Detection Pipeline |
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| ββββ- |:ββββ-:| :ββ:| :ββ:|
|Introduction to DVC: Data Version Control Tool for Machine Learning Projects | π | π | π
| Great Expectations: Always Know What to Expect From Your Data | π | π
| Validate Your pandas DataFrame with Pandera | π |π | π
| Introduction to Schema: A Python Libary to Validate your Data | π | π
| How to Create Fake Data with Faker | π | π |
| Hypothesis and Pandera: Generate Synthesis Pandas DataFrame for Testing | π | π | π
| What is dbt (data build tool) and When should you use it? | π | π| π
| Streamline dbt Model Development with Notebook-Style Workspace | π | π | π
Testing
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Article |
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Video |
Pytest for Data Scientists |
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4 Lessor-Known Yet Awesome Tips for Pytest |
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DeepDiff β Recursively Find and Ignore Trivial Differences Using Python |
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Checklist β Behavioral Testing of NLP Models |
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Detect Defects in a Data Pipeline Early with Validation and Notifications |
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Write Readable Tests for Your Machine Learning Models with Behave |
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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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| Pydash: A Kitchen Sink of Missing Python Utilities | π | π
| Write Clean Python Code Using Pipes | π | π | π
| Introducing FugueSQL β SQL for Pandas, Spark, and Dask DataFrames | π | π
| Fugue and DuckDB: Fast SQL Code in Python | π | π
| Simplify Data Science Workflows on BigQuery with Fugue and Python | π | π
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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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Machine Learning
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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
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Article |
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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 β 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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Computer Vision
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How to Create an App to Classify Dogs Using fastai and Streamlit |
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Time Series
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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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Feature Engineering
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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 β A Human-In-The-Loop Platform to Build Training Data |
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Visualization
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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 Teamβs 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 β Turn Flow Data Into a Sankey Diagram In Python |
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atoti β 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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Mathematical Programming
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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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Scraping
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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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Python
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6 Common Mistakes to Avoid in Data Science Code |
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5 Steps to Transform Messy Functions into Production-Ready 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 Functoolsβ Partial and Singledispatch |
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Logging and Debugging
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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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Loguru: Simple as Print, Flexible as Logging |
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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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Statistics
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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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Bayesβ 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 β Higher Degree or More Years of Experience? |
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Linear Algebra
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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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Data Structure
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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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Web Applications
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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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Share Insights
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Introduction to Datapane: A Python Library to Build Interactive Reports |
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Datapaneβs 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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Learning Tips
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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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Productive Tips
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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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VSCode
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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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Book Review
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Python Machine Learning: A Comprehensive Handbook for Machine Learning |
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Data Science Portfolio
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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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