4/19/2023 0 Comments Fews python libraryHeartrate is an open-source Python library that offers real-time visualization of the execution of a Python program. The heatmap helps the developers to identify the code snippets that are taking most of the time to execute that may further be optimized. The above-mentioned code generates a heatmap denoting the time required (seconds) to run each line of the code in the merge_sort.py module.įrom observing the above heatmap, while loop in line 17, is taking most of the time (7 seconds) to execute. ph = PyHeat('merge_sort.py') ph.create_heatmap() ph.show_heatmap() Pass the path of the Python file as a parameter to the PyHeat function. Pyheat can be used to generate a heatmap of time numbers for each line of code for a Python module. Pyheat can be installed from PyPl using pip install py-heatĪnd import it using from pyheat import PyHeat Usage: Instead of presenting in tabular format, Pyheat represents the time required to run each line of code with a heatmap. Pyheat is an open-source Python library to help developers to get a line-by-line time distribution of execution of the code. In this article, we will discuss 3 such open-source Python libraries that can help developers to visualize the execution of the program in just a few lines of code. Logging can be useful but it's too technical and require proper implementation. Efficient use of loggers can also track the time complexity of the code snippets. The logging module in Python can be used to track events of your code and can be used to identify the cause of the crashing of the code. There arises a need to track the execution flow of the code and get a deep dive understanding of performance bottlenecks. Sometimes complex computations or algorithms take a lot of time to execute in Python. Python is comparatively slower than other languages because of its dynamic nature and versatility.
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