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literals are written using single or double quotes; it doesn t matter which as long as the same kind of quote is used at both ends We can convert between strings and integers, for example, int("250") and str(125) If an integer conversion fails a ValueError exception is raised; whereas almost anything can be converted to a string Strings are sequences, so those functions and operations that can be used with sequences can be used with strings For example, we can access a particular character using the item access operator ([]), concatenate strings using +, and append one string to another using += Since strings are immutable, behind the scenes, appending creates a new string that is the concatenation of the given strings, and rebinds the left-hand string object reference to the resultant string We can also iterate over a string character by character using a for in loop And we can use the built-in len() function to report how many characters are in a string For immutable objects like strings, integers, and tuples, we can write our code as though an object reference is a variable, that is, as though an object reference is the object it refers to We can also do this for mutable objects, although any change made to a mutable object will affect all occurrences of the object (ie, all object references to the object); we will cover this issue in 3 Python provides several built-in collection data types and has some others in its standard library We learned about the list and tuple types, and in particular how to create tuples and lists from literals, for example, even = [2, 4, 6, 8] Lists, like everything else in Python, are objects, so we can call methods on them for example, evenappend(10) will add an extra item to the list Like strings, lists and tuples are sequences, so we can iterate over them item by item using a for in loop, and nd out how many items they have using len() We can also retrieve a particular item in a list or tuple using the item access operator ([]), concatenate two lists or tuples using +, and append one to another using += If we want to append a single item to a list we must either use listappend() or use += with the item made into a single-item list for example, even += [12] Since lists are mutable, we can use [] to change individual items, for example, even[1] = 16 The fast is and is not identity operators can be used to check whether two object references refer to the same thing this is particularly useful when checking against the unique built-in None object All the usual comparison operators are available (<, <=, ==, !=, >=, >), but they can be used only with compatible data types, and then only if the operations are supported The data types we have seen so far int, str, list, and tuple all support the complete set of comparison operators Comparing incompatible types, for example, comparing an int with a str or list, will quite sensibly produce a TypeError exception Python supports the standard logical operators and, or, and not Both and and or are short-circuit operators that return the operand that determined their.

Clicking the plus symbol next to the highlighted trace in Figure 911 expands the display to show us another level of detail Figure 912 shows the resulting detail block, Execute A new activity is displayed under the MicrosoftServiceModelSamplesICalculatorSubtract If there had been any exceptions or warnings traced, we would see them in the Graph view as yellow triangles or red circles, respectively By expanding details to show contained activities and observing how interactions between activities and hosts are correlated, you can quickly use the Service Trace Viewer to locate the sources of unexpected behavior, whether you are a developer creating a distributed application or an IT professional investigating reported issues in production

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Interfaces to most popular SQL databases are available from third-party modules, and out of the box Python comes with the sqlite3 module (and with the SQLite 3 database), so database programming can be started right away SQLite is a lightweight SQL database, lacking many of the features of, say, PostgreSQL, but it is very convenient for prototyping, and may prove suf cient in many cases To make it as easy as possible to switch between database backends, PEP 249 (Python Database API Speci cation v20) provides an API speci cation called DB-API 20 that database interfaces ought to honor the sqlite3 module, for example, complies with the speci cation, but not all the third-party modules do There are two major objects speci ed by the API, the connection object and the cursor object, and the APIs they must support are shown in Tables 121 and 122 In the case of the sqlite3 module, its connection and cursor objects both provide many additional attributes and methods beyond those required by the DB-API 20 speci cation The SQL version of the DVDs program is dvds-sqlpy The program stores directors separately from the DVD data to avoid duplication and offers one more menu option that lets the user list the directors The two tables are shown in Figure 121 The program has slightly fewer than 300 lines, whereas the previous section s dvds-dbmpy program is slightly fewer than 200 lines, with most of the difference due to the fact that we must use SQL queries rather than perform simple dictionary-like operations, and because we must create the database s tables the rst time the program runs

The main() function is similar to before, only this time we call a custom connect() function to make the connection

An example using interactive Gauge is:

def connect(filename): create = not ospathexists(filename) db = sqlite3connect(filename) if create: cursor = dbcursor()

Filtering Results You may nd, especially with production-generated log les, that locating speci c information in trace and message logs can become a challenge For example, you may know that a particular user s session led to unexpected behavior (and for the sake of example, let s say there were no warnings or exceptions thrown, only incorrect data) This would be an extremely challenging prospect, but the Service Trace Viewer offers a exible infrastructure for nding and ltering entries In the toolbar, the Find What option enables you to quickly search all and click Find The trace traces for matching text For example, type list will highlight those traces containing that word You can use the Look For box to quickly limit the displayed traces to those matching your criteria Click the Search In drop-down and select criteria (for example, Start Time) The Look For eld becomes enabled Enter

Syntax dbclose() dbcommit() dbcursor() dbrollback()

Closes the connection to the database (represented by the db object which is obtained by calling a connect() function) Commits any pending transaction to the database; does nothing for databases that don t support transactions Returns a database cursor object through which queries can be executed Rolls back any pending transaction to the state that existed before the transaction began; does nothing for databases that don t support transactions

Gauge gauge = new Gauge("Speed:", true, 10, 5); formappend(gauge);

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