{"id":33882,"date":"2020-02-04T09:20:00","date_gmt":"2020-02-04T14:20:00","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=33882"},"modified":"2022-11-21T09:45:00","modified_gmt":"2022-11-21T14:45:00","slug":"python-function-tutorial-part-iii","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/python-function-tutorial-part-iii\/","title":{"rendered":"Python Function Tutorial \u2013 Part III"},"content":{"rendered":"\n

See Part I<\/a> and Part II<\/a> of this installment to learn more about Python functions. <\/em><\/p>\n\n\n\n

User defined Python functions<\/strong><\/p>\n\n\n\n

Although Python provides a wide array of built-in Python functions, it does not suffice in tackling issues we would face while we develop programs and applications. As Python programmers, we might need to break down the programming challenge into smaller chunks and implement them in the form of custom or user defined<\/em> functions. The concept of writing functions is probably an essential feature of any programming language.<\/p>\n\n\n\n

Functions are defined using the def<\/code> keyword, followed by an identifier<\/em> name along with the parentheses, and by the final colon that ends the line. The block of statements which forms the body<\/em> of the function follows the function definition<\/em>. Here’s a simple example.<\/p>\n\n\n\n

def greet():
\n “””Block of statement.
\n or Body of function.”””
\n print(‘ Hello from inside the function!’)
\n<\/p>\n\n\n\n

The above defined greet<\/code> function can be called using its name as shown here.<\/p>\n\n\n\n

# Calling the function
\ngreet()
\n<\/p>\n\n\n\n

And the output will be<\/p>\n\n\n\n

Hello from inside the function.<\/p>\n\n\n\n

In the next installment, the author will discuss Python functions with a single argument.<\/em><\/p>\n\n\n\n

Visit https:\/\/www.quantinsti.com\/<\/a> for ready-to-use Python functions as applied in trading and data analysis.<\/p>\n","protected":false},"excerpt":{"rendered":"

Although Python provides a wide array of built-in Python functions, it does not suffice in tackling issues we would face while we develop programs and applications. As Python programmers, we might need to break down the programming challenge into smaller chunks and implement them in the form of custom or user defined functions. 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