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No other dictionary matches M-W's accuracy and scholarship in defining word meanings. Our pronunciation help, synonyms, usage and grammar tips set the standard. Go beyond dictionary lookups with Word of the Day, facts and observations on language, lookup trends, and wordplay from the editors at Merriam-Webster Dictionary.

Curly braces or the set() function can be used to create sets. Note: tocreate an empty set you have to use set(), not {}; the latter creates anempty dictionary, a data structure that we discuss in the next section.

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It is best to think of a dictionary as a set of key: value pairs,with the requirement that the keys are unique (within one dictionary). A pair ofbraces creates an empty dictionary: {}. Placing a comma-separated list ofkey:value pairs within the braces adds initial key:value pairs to thedictionary; this is also the way dictionaries are written on output.

The main operations on a dictionary are storing a value with some key andextracting the value given the key. It is also possible to delete a key:valuepair with del. If you store using a key that is already in use, the oldvalue associated with that key is forgotten. It is an error to extract a valueusing a non-existent key.

Performing list(d) on a dictionary returns a list of all the keysused in the dictionary, in insertion order (if you want it sorted, just usesorted(d) instead). To check whether a single key is in thedictionary, use the in keyword.

The example shows how to use the TryGetValue method as a more efficient way to retrieve values if a program often must try key values that are not in the dictionary, and it shows how to use the ContainsKey method to test whether a key exists before calling the Add method.

The Dictionary generic class provides a mapping from a set of keys to a set of values. Each addition to the dictionary consists of a value and its associated key. Retrieving a value by using its key is very fast, close to O(1), because the Dictionary class is implemented as a hash table.

As long as an object is used as a key in the Dictionary, it must not change in any way that affects its hash value. Every key in a Dictionary must be unique according to the dictionary's equality comparer. A key cannot be null, but a value can be, if its type TValue is a reference type.

When you search on Google, you might find dictionary boxes if our systems decide it would be useful and relevant. Dictionary boxes show definitions from third-party expert sources and might include related images, pronunciations, translations, and other information.

The National Claims History (NCH) data dictionary RIF reports contain the metadata information on the NCH Inpatient/Skilled Nursing Facility (SNF), Outpatient, Home Health Agency (HHA), Hospice, Carrier and DMERC claims data. The Medicare Provider Analysis and Review (MEDPAR) data dictionary RIF report contains the metadata information for the MEDPAR Inpatient and Skilled Nursing Facility (SNF) beneficiary stay records .

A for loop on a dictionary iterates over its keys by default. The keys will appear in an arbitrary order. The methods dict.keys() and dict.values() return lists of the keys or values explicitly. There's also an items() which returns a list of (key, value) tuples, which is the most efficient way to examine all the key value data in the dictionary. All of these lists can be passed to the sorted() function.

Strategy note: from a performance point of view, the dictionary is one of your greatest tools, and you should use it where you can as an easy way to organize data. For example, you might read a log file where each line begins with an IP address, and store the data into a dict using the IP address as the key, and the list of lines where it appears as the value. Once you've read in the whole file, you can look up any IP address and instantly see its list of lines. The dictionary takes in scattered data and makes it into something coherent.

The "del" operator does deletions. In the simplest case, it can remove the definition of a variable, as if that variable had not been defined. Del can also be used on list elements or slices to delete that part of the list and to delete entries from a dictionary.

The Histories Branch researches and writes the multivolume Dictionary of American Naval Fighting Ships, available in many libraries in the United States and abroad. Compiled like an encyclopedia, each volume includes summary histories of U.S. Navy ships from certain sections of the alphabet. The volumes also include an assortment of appendices on small craft, dictionary entries for Confederate Navy ships and various essays related to naval ships.

WordReference has two of its own dictionaries plus those of Collins. The French dictionary has over 250,000 translations and the Italian dictionary has nearly 200,000. These dictionaries continue to grow and improve as well. If you don't find what you are looking for in any of the dictionaries, search or ask in the forums.

Dictionaries are made up of dictionary containers and the dictionary items within them. Once you attach a dictionary container to a version of your service and that service is activated, the data in it becomes versionless. This means you can add to and update the data a dictionary contains at any time after it is created, without ever incrementing a service's version.

To create a dictionary and use it within your service, start by creating an empty dictionary container and then add its entries in a working version of a service that's unlocked and not yet activated. You can create dictionaries:

The Ojibwe People's Dictionary is a searchable, talking Ojibwe-English dictionary that features the voices of Ojibwe speakers. It is also a gateway into the Ojibwe collections at the Minnesota Historical Society. Along with detailed Ojibwe language entries and voices, you will find beautiful cultural items, photographs, and excerpts from relevant historical documents.

Many of the words in the Ojibwe People's Dictionary have related resources. Click through to the full dictionary entry to hear audio recordings, see images, read documents and watch videos. Here's a key to resource icons. Audio recordings Images Video Documents

In the expressions MLB_team[1], d[0], and d[2], the numbers in square brackets appear as though they might be indices. But they have nothing to do with the order of the items in the dictionary. Python is interpreting them as dictionary keys. If you define this same dictionary in reverse order, you still get the same values using the same keys:

Note: Although access to items in a dictionary does not depend on order, Python does guarantee that the order of items in a dictionary is preserved. When displayed, items will appear in the order they were defined, and iteration through the keys will occur in that order as well. Items added to a dictionary are added at the end. If items are deleted, the order of the remaining items is retained.

Technically, it is not quite correct to say an object must be immutable to be used as a dictionary key. More precisely, an object must be hashable, which means it can be passed to a hash function. A hash function takes data of arbitrary size and maps it to a relatively simpler fixed-size value called a hash value (or simply hash), which is used for table lookup and comparison.

By contrast, there are no restrictions on dictionary values. Literally none at all. A dictionary value can be any type of object Python supports, including mutable types like lists and dictionaries, and user-defined objects, which you will learn about in upcoming tutorials.

As with strings and lists, there are several built-in methods that can be invoked on dictionaries. In fact, in some cases, the list and dictionary methods share the same name. (In the discussion on object-oriented programming, you will see that it is perfectly acceptable for different types to have methods with the same name.)

Lists and dictionaries are two of the most frequently used Python types. As you have seen, they have several similarities, but differ in how their elements are accessed. Lists elements are accessed by numerical index based on order, and dictionary elements are accessed by key

Communication standards such as D20 allow organizations (such as jurisdictions) to have a standardized convention to exchange business data. Through this exchange, driver and registration information is available to assure the issuance of accurate licenses, registration, and titles. D20 is designed to facilitate continued coordination among data system developers. For new systems and system modifications, organizations are encouraged to use data elements in the D20 dictionary whenever possible to promote consistency and uniformity.

D20 definitions are used in:

Terminology and codes used in the D20 dictionary come from many sources. Whenever possible, definitions from other standards, practices, and rules are used to maintain consistency. Most requests to enhance D20 originate from motor vehicle agency systems because the D20 data definitions are used in the exchange of data between these systems. However, because D20 is an open standard, any interested party may submit a request to update D20.

Below is the current official version of the CPE Product Dictionary. The dictionary provides an agreed upon list of official CPE names. The dictionary is provided in XML format and is available to the general public. Please check back frequently as the CPE Product Dictionary will continue to grow to include all past, present and future product releases. The CPE Dictionary is updated nightly when modifications or new names are added.

As of December 2009, The National Vulnerability Database is now accepting contributions to the Official CPE Dictionary. Organizations interested in submitting CPE Names should contact the NVD CPE team at cpe_dictionary@nist.gov for help with the processing of their submission. e24fc04721