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README.md

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@@ -60,13 +60,7 @@ We can now load the stored DataFrame in another (or the same) notebook:
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> Imported salaries (40CA7812) at Sunday, 08. Dec 2019 12:02
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Thanks to (optional) [memory optimizations](#memory-optimizations) we saved some RAM (87% as compared to unoptimized `pd.read_csv()` result).
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To track how many MB were saved use `--report_memory_gain` setting:
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```python
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%open_vault -p data/storage.zip --report_memory_gain True
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```
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which will display memory optimization results below imports, for example:
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To track how many MB were saved use `--report_memory_gain` setting which will display memory optimization results below imports, for example:
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> Reduced memory usage by 87.28%, from 0.79 MB to 0.10 MB.
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@@ -185,7 +179,7 @@ of the level of security offered by this package will be easier.
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Pre-requirements:
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- Python 3.6+
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- 7zip (16.02+) (see [below](./Installing 7-zip) for Ubuntu and Mac commands)
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- 7zip (16.02+) (see [below](#installing-7-zip) for Ubuntu and Mac commands)
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### Installation:
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