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Added useful links and useful python libaries
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PyData/UsefulPackages.txt

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@@ -270,6 +270,7 @@ PySimpleGUI: https://github.com/PySimpleGUI/PySimpleGUI
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# Progress Bars
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tqdm: https://github.com/tqdm/tqdm
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pqdm: https://github.com/niedakh/pqdm
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fastprogress: https://github.com/fastai/fastprogress
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alive-progress: https://github.com/rsalmei/alive-progress
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https://codingdose.info/2019/06/15/how-to-use-a-progress-bar-in-python/
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https://realpython.com/python-concurrency/#how-to-speed-up-a-cpu-bound-program
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For I/O bound: Use asyncio if you can, threading if you must
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For CPU bound: Use multiprocessing
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An easier multiprocessing library?: https://github.com/Slimmer-AI/mpire
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Trio, a better asyncio?: https://github.com/python-trio/trio
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many_requests: https://github.com/joshlk/many_requests
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PyData/bookmarks.txt

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@@ -19,6 +19,7 @@ installing, win10: https://phoenixnap.com/kb/install-spark-on-windows-10
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installing, win10: https://kontext.tech/column/spark/450/install-spark-300-on-windows-10
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sql: https://analyticshut.com/reading-data-from-sql-tables-in-spark/
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sql, docs: https://spark.apache.org/docs/latest/sql-data-sources-jdbc.html
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Snowflake: https://www.phdata.io/blog/how-to-connect-snowflake-using-spark/
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# How to find location of Java
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https://askubuntu.com/questions/772235/how-to-find-path-to-java

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