Python

Python Basics: Conditional Logic and Control Flow

Much of the Python code you’ll write is unconditional. That is, the code does not make any choices. Every line of code is executed in the order that it’s written or in the order that functions are called, with possible repetitions inside loops. In this course, you’ll learn how to use conditional logic to write programs that perform different actions based on different conditions. Paired with functions and loops, conditional logic allows you to write complex programs that can handle […]

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Python

Python Basics: Strings and String Methods

Many programmers, regardless of their specialty, deal with text on a daily basis. For example, web developers work with text input from web forms. Data scientists process text to extract data and perform tasks like sentiment analysis, which can help identify and classify opinions in a body of text. Collections of text in Python are called strings. Special functions called string methods are used to manipulate strings. There are string methods for changing a string from lowercase to uppercase, removing […]

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Python

Build Enumerations of Constants With Python’s Enum

Python’s enum module provides the Enum class, which allows you to create enumeration types. To create your own enumerations, you can either subclass Enum or use its functional API. Both options will let you define a set of related constants as enum members. In the following sections, you’ll learn how to create enumerations in your code using the Enum class. You’ll also learn how to set automatically generated values for your enums and how to create enumerations containing alias and […]

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NLP

3 Strategic Mistakes Leaders Can Easily Avoid When Thinking About AI Integration

Several years ago, a product manager at a tech company had a data collection problem: to scrape software security vulnerability data from multiple web sources, consolidate the vulnerabilities and store them in a database. As this was an automation problem relating to data, the product manager (PM) immediately concluded that this was a machine learning problem. The PM then “hired” the company’s data science team to build ML models to solve the problem.  The data science team agreed to the […]

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