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Regular expressions training course description Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Python and MySQL. Regular expressions allow you to code complex and subtle text processing that you never imagined could be automated. Once you've mastered regular expressions, they'll become an invaluable part of your toolkit. You will wonder how you ever got by without them. What will you learn Use Regular Expressions. Troubleshoot Regular Expressions. Compare RE features among different versions. Explain how the regular expression engine works. Optimize REs. Match what you want, not what you don't want. Regular expressions training course details Who will benefit: Anyone looking to use regular expressions. Prerequisites: None. Duration 1 day Regular expressions training course contents Introduction to Regular Expressions Solving real problems, REs as a language, the filename analogy, language analogy, RE frame of mind, searching text files: egrep, egrep metacharacters, start and end of the line, character classes, matching any character with dot, alternation, ignoring differences in capitalization, word boundaries, optional items, other quantifiers: repetition, parentheses and backreferences, the great escape, expanding the foundation, linguistic diversification, the goal of a RE, more examples, RE nomenclature, Improving on the status quo. Extended introductory examples A short introduction to Perl, matching text with regular expressions, toward a more real-world example, side effects of a successful match, Intertwined regular expression, intermission, modifying text with regular expressions, example: form letter, example: prettifying a stock price, automated editing, a small mail utility, adding commas to a number with lookaround, text-to-HTML conversion, that doubled-word thing. Regular expression features and flavours The regex landscape, origins of REs, care and handling of REs, Integrated handling, procedural and object-oriented handling, search-and-replace example. strings character encodings and modes, strings as REs, character-encoding issues, unicode, regex modes and match modes, common metacharacters and features, character representations, character classes and class-like constructs, anchors and other 'zero-width assertions', comments and mode modifiers, grouping capturing conditionals and control. The mechanics of expression processing Two kinds of engines, new standards, regex engine types, from the department of redundancy department, testing the engine type, match basics, about the examples, rule 1: the match that begins earliest wins, engine pieces and parts, rule 2: the standard quantifiers are greedy, regex-directed versus text-directed, NFA engine: regex-directed, DFA engine: text-directed, first thoughts: NFA and DFA in comparison, backtracking, two important points on backtracking, saved states, backtracking and greediness, more about greediness and backtracking, problems of greediness, multi-character 'quotes', lazy quantifiers, greediness and laziness, laziness and backtracking, possessive quantifiers and atomic grouping, possessive quantifiers ?, +, *+, ++ and {m,n}+, the backtracking of lookaround, is alternation greedy? taking advantage of ordered alternation, NFA DFA and posix, the longest-leftmost', posix and the longest-leftmost rule, speed and efficiency. Practical regex techniques Continuation lines, matching an IP address, working with filenames, matching balanced sets of parentheses, watching out for unwanted matches, matching delimited text, knowing your data and making assumptions, stripping leading and trailing whitespace, matching and HTML tag, matching an HTML link, examining an HTTP URL, validating a hostname, plucking a hostname, plucking a URL, parsing CSV files. Crafting an efficient expression Efficiency vs. correctness, localizing greediness, global view of backtracking, more work for POSIX NFA, work required during a non-match, being more specific, alternation can be expensive, benchmarking, know what you re measuring, benchmarking with Python, common optimisations, the mechanics of regex application, pre-application optimizations, optimizations with the transmission, optimization of the regex itself, techniques for faster expressions, common sense techniques, expose literal text, expose anchors, lazy versus greedy: be specific, split into multiple REs, mimic initial-character discrimination, use atomic grouping and possessive quantifiers, lead the engine to a match, unrolling the loop, observations, using atomic grouping and possessive quantifiers, short unrolling examples, unrolling C comments, the free flowing regex, a helping hand to guide the match, a well-guided regex is a fast regex.

Oracle SQL training course description The Oracle SQL course is designed to give delegates practical experience in writing SQL statements and scripts using Oracle SQL. The basic SELECT statement, the use of SQL functions and the basic table and view handling statements are introduced. What will you learn Create SQL statements to query database tables. Use standard aggregate functions and related SELECT statement clauses. Join Tables. Use basic subqueries and the set operators. Use numeric, character and date functions. Use conversion and other miscellaneous functions. Use SQL parameters. Use complex subqueries. Create and alter tables and views. Insert, update and delete rows in database tables. Manage sequences and synonyms. Oracle SQL training course details Who will benefit: Anyone who needs to use and understand Oracle SQL to query and update data in an Oracle database. Prerequisites: None. Duration 3 days Oracle SQL training course contents Retrieving data with the SELECT statement The SELECT statement, The SELECT and FROM clauses, Conditions and the WHERE clause, Other conditional operators, Logical operators, The ORDER BY clause, Column aliases, Arithmetic expressions, Precedence of operators. Aggregate functions Overview of built In aggregate functions, The GROUP BY clause, The HAVING clause. Joining tables Overview of table joins, Inner joins, Table aliases, Outer joins, Self joins, ANSI standard joins. Basic subqueries and set operators Overview of subqueries, Basic subqueries, Set operators, The union, intersect and ,minus operators. Numeric, character and data functions Function types, Using the table dual to try out functions, Numeric functions, Character functions, String concatenation, Date arithmetic and date functions. Conversion and miscellaneous functions Conversion functions, The NVL and NVL2 functions, The DECODE function, CASE expressions, The COALESCE and NULLIF functions. SQL parameters Command line substitution parameters, The accept command, The define and undefine commands. Complex subqueries Subqueries usage, In-line views, Top-N queries, Subqueries with joins, Multi column subqueries, Correlated subqueries, Subquery rules, Using the ANY, ALL and SOME operators. Managing data Inserting rows, Updating rows, Deleting rows, Verifying updates, Transaction control, Commit and rollback, Savepoints, Commits and constraints, Amending data in SQL developer. Managing tables Creating tables, Specifying constraints, Altering tables, columns and constraints, Dropping tables, columns and constraints, Recovering dropped tables, Copying tables. Managing indexes and views Creating indexes, Dropping indexes, Listing indexes, Creating and using views, Dropping views, Listing views. Managing sequences and synonyms Create a sequence, View sequence details, Create a synonym, List synonyms.