Transform Messy Functions into Production Ready Code
Data Science Simplified
Transform Messy Functions into Production Ready Code
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Avoid These 6 Mistakes in Data Science Code
Data Science Simplified
Avoid These 6 Mistakes in Data Science Code
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Build a Fully Automated Data Drift Detection Pipeline
Data Science Simplified
Build a Fully Automated Data Drift Detection Pipeline
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Loguru: Simple as Print, Flexible as Logging
Data Science Simplified
Loguru: Simple as Print, Flexible as Logging
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How to Create Human-Readable Regular Expressions in Python
Data Science Simplified
How to Create Human-Readable Regular Expressions in Python
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Git for Data Scientists: Learn Git through Examples
Data Science Simplified
Git for Data Scientists: Learn Git through Examples
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6 Practices to Write Clean Python Functions
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6 Practices to Write Clean Python Functions
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How to Structure a Data Science Project for Maintainability
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How to Structure a Data Science Project for Maintainability
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The BEST Tool to Manage Python Dependencies
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The BEST Tool to Manage Python Dependencies
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Streamline dbt Model Development with Notebook-Style Workspace
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Streamline dbt Model Development with Notebook-Style Workspace
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Stop Hard Coding Values - Use Config Files Instead
Data Science Simplified
Stop Hard Coding Values - Use Config Files Instead
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Build an Efficient Data Pipeline: Is dbt the Key?
Data Science Simplified
Build an Efficient Data Pipeline: Is dbt the Key?
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How to Preprocess Text in ONE Line of Code #shorts #python #nlp
Data Science Simplified
How to Preprocess Text in ONE Line of Code #shorts #python #nlp
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Improve Code Readability with Named Slices in Python #shorts
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Improve Code Readability with Named Slices in Python #shorts
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DO THIS to Create Maintainable Python Functions #shorts
Data Science Simplified
DO THIS to Create Maintainable Python Functions #shorts
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Simplified Iterable Extraction in Python #shorts
Data Science Simplified
Simplified Iterable Extraction in Python #shorts
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Why Your Machine Learning Model Needs More Than Just Accuracy
Data Science Simplified
Why Your Machine Learning Model Needs More Than Just Accuracy
7:01
Tired of Labeling Your Data? TRY THIS!
Data Science Simplified
Tired of Labeling Your Data? TRY THIS!
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Visualize Interactive Network Graphs in Python with pyvis
Data Science Simplified
Visualize Interactive Network Graphs in Python with pyvis
6:06
Rule-Based Learning as an Alternative to Machine Learning
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Rule-Based Learning as an Alternative to Machine Learning
8:19
Validate Python Input Values for a Machine Learning Application with Pydantic
Data Science Simplified
Validate Python Input Values for a Machine Learning Application with Pydantic
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Build a Full-Stack ML Application With Pydantic And Prefect
Data Science Simplified
Build a Full-Stack ML Application With Pydantic And Prefect
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Generate a New Function with Fewer Arguments Using Functools Partial
Data Science Simplified
Generate a New Function with Fewer Arguments Using Functools Partial
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Online Machine Learning in Python with River (Part 2) - Deal with Imbalanced Data
Data Science Simplified
Online Machine Learning in Python with River (Part 2) - Deal with Imbalanced Data
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Online Machine Learning in Python with River
Data Science Simplified
Online Machine Learning in Python with River
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Online Learning as an Alternative to Batch Learning in Machine Learning
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Online Learning as an Alternative to Batch Learning in Machine Learning
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Create Observable and Reproducible Notebooks with Hex: Integrate Hex with Prefect (Part 2)
Data Science Simplified
Create Observable and Reproducible Notebooks with Hex: Integrate Hex with Prefect (Part 2)
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Create Observable and Reproducible Notebooks with Hex: Why Hex (Part 1)
Data Science Simplified
Create Observable and Reproducible Notebooks with Hex: Why Hex (Part 1)
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Quickly Annotate Your Data on Jupyter Notebook with Pigeon
Data Science Simplified
Quickly Annotate Your Data on Jupyter Notebook with Pigeon
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Assign Behaviors to a Python Function Based on Data Types With Functools Singledispatch
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Assign Behaviors to a Python Function Based on Data Types With Functools Singledispatch
4:32
Deploy a Data Pipeline with Prefect (Part 3) - Run a Deployment
Data Science Simplified
Deploy a Data Pipeline with Prefect (Part 3) - Run a Deployment
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Deploy a Data Pipeline with Prefect (Part 2) - Create a Deployment
Data Science Simplified
Deploy a Data Pipeline with Prefect (Part 2) - Create a Deployment
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Deploy a Data Pipeline with Prefect (Part 1) - What is a Deployment
Data Science Simplified
Deploy a Data Pipeline with Prefect (Part 1) - What is a Deployment
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Automatically Rerun Modified Components of a Pipeline with DVC and GitHub actions (Part 2)
Data Science Simplified
Automatically Rerun Modified Components of a Pipeline with DVC and GitHub actions (Part 2)
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Automatically Rerun Modified Components of a Pipeline with DVC and GitHub Actions (Part 1)
Data Science Simplified
Automatically Rerun Modified Components of a Pipeline with DVC and GitHub Actions (Part 1)
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Create Fake File System in Memory for Testing in Python with pyfakefs
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Create Fake File System in Memory for Testing in Python with pyfakefs
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How to Version Control Your Data and Models with DVC
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How to Version Control Your Data and Models with DVC
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Why Should You Use DVC to Version Control Your Data and Models?
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Why Should You Use DVC to Version Control Your Data and Models?
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Flow in Prefect - Supercharge Your Data Pipeline in Python
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Flow in Prefect - Supercharge Your Data Pipeline in Python
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Tasks in Prefect - Add Observability to Your Data Pipeline in Python
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Tasks in Prefect - Add Observability to Your Data Pipeline in Python
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Observe Data Pipelines through Prefect Orion Server
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Observe Data Pipelines through Prefect Orion Server
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Subflows in Prefect: Organize Data Pipelines in Python
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Subflows in Prefect: Organize Data Pipelines in Python
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Automatically Find Dates and Time in a Python String with datefinder
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Automatically Find Dates and Time in a Python String with datefinder
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Finding the Cartesian Product of Two Python Lists with itertools.product
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Finding the Cartesian Product of Two Python Lists with itertools.product
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Add Statistical Significance Annotations to Seaborn Plots in Python with statannotations
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Add Statistical Significance Annotations to Seaborn Plots in Python with statannotations
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Convert Numbers to Words in Python with num2words
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Convert Numbers to Words in Python with num2words
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Unfold Nested Iterables in Python with Pipe
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Unfold Nested Iterables in Python with Pipe
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Pipe: A Cleaner Alternative to Map and Filter in Python
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Pipe: A Cleaner Alternative to Map and Filter in Python
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Schedule Your Data Workflow in Python with Prefect 2.0
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Schedule Your Data Workflow in Python with Prefect 2.0
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Processing Text in Python Within One Line of Code with TextBlob
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Processing Text in Python Within One Line of Code with TextBlob
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Create Pairs of Values from a Python List with itertools: An Alternative to Double For Loops
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Create Pairs of Values from a Python List with itertools: An Alternative to Double For Loops
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Organize Dependent Data Pipelines with Subflows in Prefect
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Organize Dependent Data Pipelines with Subflows in Prefect
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Retries in Python: Rerun Your Failed Functions for a Specific Number of Times with Prefect
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Retries in Python: Rerun Your Failed Functions for a Specific Number of Times with Prefect
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Caching Your Python Functions with Prefect
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Caching Your Python Functions with Prefect
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Add Observability to Your Python Script with Prefect
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Add Observability to Your Python Script with Prefect
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Eliminate Negative Engineering with Prefect
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Eliminate Negative Engineering with Prefect
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How to Use Secret Information in a Python Script
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How to Use Secret Information in a Python Script
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Return a Default Value from a Dictionary Using collections defaultdict
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Return a Default Value from a Dictionary Using collections defaultdict
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Extract Elements from a URL in Python with yarl
Data Science Simplified
Extract Elements from a URL in Python with yarl
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Count The Occurrences of Items in a List with collections Counter
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Count The Occurrences of Items in a List with collections Counter
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How to Build a UI for Your Machine Learning Service Using Streamlit
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How to Build a UI for Your Machine Learning Service Using Streamlit
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BentoML: Create an ML Powered Prediction Service in Minutes
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BentoML: Create an ML Powered Prediction Service in Minutes
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Automatically Detect and Fix Issues in Your Python Code with pre-commit pipeline
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Automatically Detect and Fix Issues in Your Python Code with pre-commit pipeline
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Check Static Types in Python with mypy
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Check Static Types in Python with mypy
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Check for Missing Docstrings in Python with interrogate
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Check for Missing Docstrings in Python with interrogate
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Automate Sorting Imported Python Libraries with isort
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Automate Sorting Imported Python Libraries with isort
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Check the Style and Quality of Your Python Code with flake8
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Check the Style and Quality of Your Python Code with flake8
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Automatically Format Your Python Code with black
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Automatically Format Your Python Code with black
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Automate Code Reviewing and Formatting in Python with pre-commit
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Automate Code Reviewing and Formatting in Python with pre-commit
1:29
Why Should You Test Your Data Science Project?
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Why Should You Test Your Data Science Project?
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How to Structure a Data Science Project that Uses Pytest
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How to Structure a Data Science Project that Uses Pytest
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pytest parametrize: Test One Function with Multiple Test Cases
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pytest parametrize: Test One Function with Multiple Test Cases
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pytest fixture: Use One Test Case for Multiple Tests
Data Science Simplified
pytest fixture: Use One Test Case for Multiple Tests
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Introduction to pytest: Testing in a Data Science Project
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Introduction to pytest: Testing in a Data Science Project
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Hydra: Configure Complex Applications in Python - Useful Features
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Hydra: Configure Complex Applications in Python - Useful Features
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Hydra: Configure Complex Application in Python
Data Science Simplified
Hydra: Configure Complex Application in Python
3:42