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Подборка статей про оптимизацию Pandas

Статьи:
🔹 Memory Optimisation – Python DataFrames vs Lists and Dictionaries (JSON-like)
🔹 Advanced Pandas: Optimize speed and memory
🔹 Five Killer Optimization Techniques Every Pandas User Should Know
🔹 Pandas Optimization for Largest Datasets
🔹 How to handle large datasets in Python with Pandas and Dask
🔹 Scaling to large datasets
🔹 Comprehensive Guide To Optimize Your Pandas Code
🔹 Seven Killer Memory Optimization Techniques Every Pandas User Should Know
🔹 Optimizing Pandas
🔹 How to Find Pandas DataFrame Size, Shape, and Dimensions Properties

Видео:
🎦 Speed up slow pandas python code by 2500x
🎦 Efficient Pandas Dataframes in Python - Make your code run fast with these tricks!
🎦 Loop / Iterate over pandas DataFrame (2020)
🎦 How to Optimize and Speed Up Pandas

👉 @python_powerbi
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Подборка статей про оптимизацию Pandas

Статьи:
🔹 Memory Optimisation – Python DataFrames vs Lists and Dictionaries (JSON-like)
🔹 Advanced Pandas: Optimize speed and memory
🔹 Five Killer Optimization Techniques Every Pandas User Should Know
🔹 Pandas Optimization for Largest Datasets
🔹 How to handle large datasets in Python with Pandas and Dask
🔹 Scaling to large datasets
🔹 Comprehensive Guide To Optimize Your Pandas Code
🔹 Seven Killer Memory Optimization Techniques Every Pandas User Should Know
🔹 Optimizing Pandas
🔹 How to Find Pandas DataFrame Size, Shape, and Dimensions Properties

Видео:
🎦 Speed up slow pandas python code by 2500x
🎦 Efficient Pandas Dataframes in Python - Make your code run fast with these tricks!
🎦 Loop / Iterate over pandas DataFrame (2020)
🎦 How to Optimize and Speed Up Pandas

👉 @python_powerbi

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The global forecast for the Asian markets is murky following recent volatility, with crude oil prices providing support in what has been an otherwise tough month. The European markets were down and the U.S. bourses were mixed and flat and the Asian markets figure to split the difference.The TSE finished modestly lower on Friday following losses from the financial shares and property stocks.For the day, the index sank 15.09 points or 0.49 percent to finish at 3,061.35 after trading between 3,057.84 and 3,089.78. Volume was 1.39 billion shares worth 1.30 billion Singapore dollars. There were 285 decliners and 184 gainers.

The S&P 500 slumped 1.8% on Monday and Tuesday, thanks to China Evergrande, the Chinese property company that looks like it is ready to default on its more-than $300 billion in debt. Cries of the next Lehman Brothers—or maybe the next Silverado?—echoed through the canyons of Wall Street as investors prepared for the worst.

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Подборка статей про оптимизацию PandasСтатьи:🔹 Memory Optimisation – Python DataFrames vs Lists and Dictionaries (JSON-like) 🔹 Advanced Pandas: Optimize speed and memory 🔹 Five Killer Optimization Techniques Every Pandas User Should Know 🔹 Pandas Optimization for Largest Datasets 🔹 How to handle large datasets in Python with Pandas and Dask 🔹 Scaling to large datasets 🔹 Comprehensive Guide To Optimize Your Pandas Code 🔹 Seven Killer Memory Optimization Techniques Every Pandas User Should Know🔹 Optimizing Pandas 🔹 How to Find Pandas DataFrame Size

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