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Data Literacy With Python

You're reading from   Data Literacy With Python A Comprehensive Guide to Understanding and Analyzing Data with Python

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Product type Paperback
Published in Jul 2024
Publisher Mercury_Learning
ISBN-13 9781836640097
Length 271 pages
Edition 1st Edition
Languages
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Authors (2):
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Mercury Learning and Information Mercury Learning and Information
Author Profile Icon Mercury Learning and Information
Mercury Learning and Information
Oswald Campesato Oswald Campesato
Author Profile Icon Oswald Campesato
Oswald Campesato
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Toc

Table of Contents (9) Chapters Close

Preface
1. Chapter 1: Working With Data 2. Chapter 2: Outlier and Anomaly Detection FREE CHAPTER 3. Chapter 3: Cleaning Datasets 4. Chapter 4: Introduction to Statistics 5. Chapter 5: Matplotlib and Seaborn 6. Index
Appendix A: Introduction to Python 1. Appendix B: Introduction to Pandas

COMPILE TIME AND RUNTIME CODE CHECKING

Python performs some compile-time checking, but most checks (including type, name, and so forth) are deferred until code execution. Consequently, if your Python code references a user-defined function that that does not exist, the code will compile successfully. In fact, the code will fail with an exception only when the code execution path references the nonexistent function.

As a simple example, consider the following Python function myFunc that references the nonexistent function called DoesNotExist:

def myFunc(x):
    if x == 3:
        print(DoesNotExist(x))
    else:
        print('x: ',x)

The preceding code will only fail when the myFunc function is passed the value 3, after which Python raises an error.

Now that you understand some basic concepts (such as how to use the Python interpreter) and how to launch your custom Python modules, the next section discusses primitive data types in Python.

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