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90 видео
The BEST Tool to Manage Python Dependencies
Create Observable and Reproducible Notebooks with Hex: Why Hex (Part 1)
Processing Text in Python Within One Line of Code with TextBlob
How to Validate Your pandas DataFrame with Pandera and data class
Automatically Format Your Python Code with black
Why Should You Use DVC to Version Control Your Data and Models?
Extract Elements from a URL in Python with yarl
Check the Style and Quality of Your Python Code with flake8
Create Fake File System in Memory for Testing in Python with pyfakefs
Check for Missing Docstrings in Python with interrogate
Generate Synthesis Pandas DataFrame for Testing in Python with Pandera and Hypothesis (Part 1)
Online Machine Learning in Python with River (Part 2) - Deal with Imbalanced Data
Improve Code Readability with Named Slices in Python
Validate Python Input Values for a Machine Learning Application with Pydantic
Automatically Rerun Modified Components of a Pipeline with DVC and GitHub actions (Part 2)
Eliminate Negative Engineering with Prefect
Assign Behaviors to a Python Function Based on Data Types With Functools Singledispatch
Hydra: Configure Complex Application in Python
Generate Synthesis Pandas DataFrame for Testing in Python with Pandera and Hypothesis (Part 2)
How to Validate Your pandas DataFrame with Pandera
Visualize Interactive Network Graphs in Python with pyvis
Rule-Based Learning as an Alternative to Machine Learning
Check Static Types in Python with mypy
Build a Fully Automated Data Drift Detection Pipeline
Generate Synthesis Pandas DataFrame for Testing in Python with Pandera and Hypothesis (Part 3)
Stop Hard Coding Values - Use Config Files Instead
Create Observable and Reproducible Notebooks with Hex: Integrate Hex with Prefect (Part 2)
Automatically Detect and Fix Issues in Your Python Code with pre-commit pipeline
Caching Your Python Functions with Prefect
Add Statistical Significance Annotations to Seaborn Plots in Python with statannotations
How to Deploy Your Machine Learning Model to Heroku
Unfold Nested Iterables in Python with Pipe
Online Learning as an Alternative to Batch Learning in Machine Learning
Automatically Find Dates and Time in a Python String with datefinder
Schedule Your Data Workflow in Python with Prefect 2.0
Retries in Python: Rerun Your Failed Functions for a Specific Number of Times with Prefect
Check Inputs and Outputs of Your Python Function in a Data Science Project
How to Create Human-Readable Regular Expressions in Python
Git for Data Scientists: Learn Git through Examples
Return a Default Value from a Dictionary Using collections defaultdict
Tasks in Prefect - Add Observability to Your Data Pipeline in Python
How to Apply Advanced Checks on Your Pandas DataFrame Using Pandera
Generate a New Function with Fewer Arguments Using Functools Partial
Loguru: Simple as Print, Flexible as Logging
Flow in Prefect - Supercharge Your Data Pipeline in Python
Automatically Rerun Modified Components of a Pipeline with DVC and GitHub Actions (Part 1)
How to Version Control Your Data and Models with DVC
Create Pairs of Values from a Python List with itertools: An Alternative to Double For Loops
pytest fixture: Use One Test Case for Multiple Tests
Count The Occurrences of Items in a List with collections Counter
