Public Speaking 1 Day Training in Wakefield
Public Speaking 1 Day Training in Birmingham
10 Soft Skills You Need 1 Day Training in Cork
10 Soft Skills You Need 1 Day Training in Wakefield
10 Soft Skills You Need 1 Day Training in Birmingham
10 Soft Skills You Need 1 Day Training in Perth, UK
10 Soft Skills You Need 1 Day Training in Hinckley
PC fundamentals training course description A basic introductory course for those who have never worked with PCs before. The principle target audience is for those who will become PC support people. What will you learn Cable PCs. Perform preventive maintenance on PCs Run Windows and start applications. Use Microsoft Office applications. Customise Windows. PC fundamentals training course details Who will benefit: Anyone new to PCs. Prerequisites: None. Duration 3 days PC fundamentals training course contents PC hardware Overview of components inside a PC, cabling up a PC, preventive maintenance, cleaning mice, hardware screen controls, booting a PC. Windows overview Versions of Windows, Starting Windows, logging on, shutting down. Using Windows The desktop, the start menu and submenus, getting help, shutting down Windows, switching between applications, sizing and controlling windows, special keys on the keyboard. Accessing files and folders Folders and files, Windows explorer, IE, creating, viewing and manipulating folders, creating, viewing and manipulating files, permissions, bits and bytes, the recycle bin, undeleting and undoing, formatting floppy disks, using floppy disks DOS Accessing DOS, basic DOS commands, drives. Microsoft Office Word documents, Excel spreadsheets, emails, browsing the Internet, printing files, managing print queues. Printing Overview, printing, properties Customisation Customising the task bar, customising the start menu. The control panel, mouse and display properties, Desktop settings, setting the date and time. Networking overview Workgroups and domains, Accessing file and print resources
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.