python data science cheat sheet pdf
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title: python data science cheat sheet pdf with code examples
introduction:
python has become the language of choice for data science due to its simplicity and vast ecosystem of libraries. to help data scientists navigate through the complexities of python libraries, cheat sheets are often used. in this tutorial, we'll create a python data science cheat sheet pdf with code examples using popular libraries like numpy, pandas, matplotlib, and scikit-learn.
requirements:
step 1: setting up the environment:
first, ensure you have the required libraries installed. you can install them using pip, python's package installer, by running the following commands in your terminal or command prompt:
step 2: creating the cheat sheet:
we'll create a python script to generate the cheat sheet and save it as a pdf. below is a sample script with code examples:
step 3: running the script:
save the script in a file named data_science_cheat_sheet.py and run it using the following command in your terminal or command prompt:
step 4: viewing the cheat sheet:
once the script finishes running, you'll find a pdf named data_science_cheat_sheet.pdf in your current directory. open it to view your python data science cheat sheet with code examples.
conclusion:
in this tutorial, we've created a python data science cheat sheet pdf with code examples using popular libraries such as numpy, pandas, matplotlib, and scikit-learn. cheat sheets
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