Hello everyone , We know Python There are many acceleration techniques . Today's article , I've summed it up for you 24 individual , Check for defects and make up for omissions , Learn a new trick every day . Longer content , Recommended collection 、 Focus on .
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Trivial method 
Quick way （jupyter Environmental Science ）
The first 2 type ： Measure the average time of code running multiple times
Trivial method
Quick way （jupyter Environmental Science ）
The first 3 type ： Analyze code run time by calling function
Trivial method
Quick way （jupyter Environmental Science ）
The first 4 type ： Analyze code run time by line
Trivial method
Quick way （jupyter Environmental Science ）
The first 5 type ： use set Instead of list Search for
Low speed method
High speed method 
The first 6 type ： use dict Not two list Matching search
Low speed method 
High speed method
The first 7 type ： priority of use for Cycle, not while loop
Low speed method 
High speed method 
The first 8 type ： Avoid double counting in the loop body
Low speed method 
High speed method 
The first 9 type ： Replace recursive functions with looping mechanisms
Low speed method
High speed method 
The first 10 type ： Use recursive caching mechanism to speed up functions
Low speed method 
High speed method 
The first 11 type ： use numba Speed up Python function
Low speed method
High speed method 
The first 12 type ： Use collections.Counter Speed up the count
Low speed method 
High speed method 
The first 13 type ： Use collections.ChainMap Speed up dictionary merging
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High speed method 
The first 14 type ： Use np.array Instead of list
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High speed method 
The first 15 type ： Use np.ufunc Instead of math.func
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High speed method 
The first 16 type ： Use np.where Instead of if
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High speed method 
The first 17 type ： Use np.ufunc Function instead of applymap
Low speed method
High speed method
The first 18 type ： Use pre allocated storage instead of dynamic capacity expansion
Low speed method
High speed method
The first 19 type ： Use csv**** File reading and writing instead of excel File read and write
Low speed method
High speed method
The first 20 type ： Use pandas Multi process tools pandarallel
Low speed method 
High speed method 
The first 21 type ： Use dask Speed up dataframe
Low speed method
High speed method
The first 22 type ： Use dask.delayed Accelerate
Low speed method
High speed method
The first 23 type ： Apply multithreading acceleration IO Intensive task
Low speed method 
High speed method 
The first 24 type ： Apply multi process acceleration CPU Intensive task
Low speed method 
High speed method 
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