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  1. Python Dictionaries - W3Schools

    Dictionary items are ordered, changeable, and do not allow duplicates. Dictionary items are presented in key:value pairs, and can be referred to by using the key name.

  2. Python - Access Dictionary Items - W3Schools

    Well organized and easy to understand Web building tutorials with lots of examples of how to use HTML, CSS, JavaScript, SQL, Python, PHP, Bootstrap, Java, XML and more.

  3. Python - Loop Dictionaries - W3Schools

    You can loop through a dictionary by using a for loop. When looping through a dictionary, the return value are the keys of the dictionary, but there are methods to return the values as well.

  4. W3Schools Tryit Editor

    The W3Schools online code editor allows you to edit code and view the result in your browser

  5. Python *args and **kwargs - W3Schools

    What is **kwargs? The **kwargs parameter allows a function to accept any number of keyword arguments. Inside the function, kwargs becomes a dictionary containing all the keyword arguments:

  6. Hash Tables with Python - W3Schools

    A common way is to find a way to convert the value into a number that equals one of the Hash Table's index numbers, in this case a number from 0 to 9. In our example we will use the Unicode number of …

  7. Pandas Series - W3Schools

    Note: The keys of the dictionary become the labels. To select only some of the items in the dictionary, use the index argument and specify only the items you want to include in the Series.

  8. Python Tuples - W3Schools

    Tuple is one of 4 built-in data types in Python used to store collections of data, the other 3 are List, Set, and Dictionary, all with different qualities and usage.

  9. Python Booleans - W3Schools

    You can evaluate any expression in Python, and get one of two answers, True or False. When you compare two values, the expression is evaluated and Python returns the Boolean answer:

  10. DSA with Python - W3Schools

    Python has built-in support for several data structures, such as lists, dictionaries, and sets. Other data structures can be implemented using Python classes and objects, such as linked lists, stacks, …