949 Numbers courses

Property Investment key calculations for profit, mortgage, return on investment. Invest like a pro, know your numbers work on every property deal.

Improver Balboa Workshop with Simon Selmon Join Simon and increase your vocabulary, frame and connection skills. Class will include getting comfortable with the basics, small variations to spice up your footwork, underarm turns, free spins, paddles etc. Suitable for those who have danced Balboa before and want to move up to the next level.

Agility by the Numbers - Calculating ROI with Agile Impressive compilation of facts, figures, and statistics concerning agile methods. Begins with the background, motivation, tenets, and mechanics underlying agile performance. Includes data on agile metrics, performance, success, adoption, proliferation, and cases at project, organization, and national level. Closes with a great prescription for agile success. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

On this course, we will use case studies to enhance the delegates understanding of Real Estate financial appraisals, and help them fully appreciate the theory behind the numbers.

Complete Python training course description Python is an agile, robust, expressive, fully objectoriented, extensible, and scalable programming language. It combines the power of compiled languages with the simplicity and rapid development of scripting languages. This course covers Python from the very basics of 'hello world!' through to object oriented programming and advanced topics such as multi threading. Hands on follows all the major sections in order to reinforce the theory. What will you learn Read Python programs. Write Python programs. Debug Python programs. Use Python's objects and memory model as well as its OOP features. Complete Python programming training course details Who will benefit: Anyone wishing to learn Python. Prerequisites: None. Duration 5 days Complete Python programming training course contents Welcome to Python: What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. Getting started: Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. Python basics: Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. Python Objects: Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. Numbers: Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. Sequences: strings, lists, and tuples: Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. Mapping and set types: Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. Conditionals and loops: If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. Files and input/output: File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. Errors and exceptions: What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. Functions: Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. Modules: Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. Object-Oriented Programming (OOP): Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. Execution environment: Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. Regular expressions: Special symbols and characters, REs and Python, Regular expressions example. Network programming: Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. Internet client programming: What are internet clients? Transferring files, Network news, E-mail. Multithreaded Programming: Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. GUI programming: Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. Web programming: Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. Database programming: Python database application programmer's interface (DB-API), ORMs. Miscellaneous Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.

Perl training course description A hands on introduction to programming in Perl. What will you learn Write Perl programs. Use Perl modules. Debug Perl programs. Examine existing code and determine its function. Perl training course details Who will benefit: Anyone wishing to learn Perl. Prerequisites: None although experience in another high level language would be useful. Duration 5 days Perl training course contents Introduction to Perl What is Perl? When to use Perl, downloading Perl, installing Perl, documentation, perldoc, running Perl, the Perl environment. Perl under UNIX, Perl under Windows. "Hello world". Variables Scalars, data types, $_, strings and numbers, assignment, constants, strict, scope, STDIN. Operators Number operators, string operators, precedence and associativity, converting numbers and strings, shortcut operators. Flow control Blocks, if, else, elseif, unless, foreach, while, for do, until. Regular expressions What are regular expressions? Pattern matching, Perl as a filter, file editing. Strings Comparing strings, concatenating, substrings, chomp, chop, formatting, string manipulation. Subroutines Comparing strings, concatenating, substrings, chomp, chop, formatting, string manipulation. Arrays and hashes Working with arrays, element access, push(), pop(), shift(), unshift(), <STDIN> as an array, associative arrays, hashes of arrays, hash references, arrays of hashes, hashes of hashes. Files Simple file handling, open, close, <FILEHANDLE>, <>, file tests, directory access, directory handles, database access, packing and packing binary data. I/O STDIN, STDOUT and STDERR, Command line arguments,@ARGV. Perl debugging The built in debugger, running the debugger, debugger commands, graphical debuggers. Script syntax errors, single stepping, breakpoints, watches. Packages and modules CPAN, Finding modules, installing modules, using modules, scope. Report formatting Formats, defining a format, invoking a format, field holders. Process management System interaction, system(), exec(), signals. Security issues.

vc_rowvc_columnvc_column_text Description: Want to combat your fear of numbers and master complex maths equations? Are you looking for expert tips

Musicality workshop featuring musician Malcolm Earle-Smith and dancer Simon Selmon. Using both Solo Jazz & Lindy Hop you will explore the music using rhythm, scatting and movement exercises to become more musical and creative in your dancing. With a mix of group exercises and one-to-one feedback, you'll have plenty of opportunities to dance and develop your skills to both recorded and live music.

Identify property opportunities, complete due diligence, know your numbers, build a plan to repeat for success.

Complete Ruby programming training course description This course starts with a quick-start session and then explains the language in detail from the bottom up. Hands on sessions follow all the major sessions to reinforce the theory. What will you learn Read Ruby programs. Write Ruby programs. Debug Ruby programs. Complete Ruby programming training course details Who will benefit: Anyone wishing to program in Ruby. Prerequisites: Software development fundamentals Duration 3 days Complete Ruby programming training course contents Introduction A tour of Ruby, Try Ruby, A suduko solver in Ruby. The Structure and execution of Ruby Lexical structure, Syntactic structure, Files structure, Program encoding, Program execution. Datatypes and objects Numbers, text, Arrays, Hashes, Ranges, Symbols, True, false, and nil, Objects. Expressions and operators Literals and keyword literals, Variable references, Constant references, Method invocations, Assignments, Operators. Statements and control structures Conditionals, loops, Iterators and enumerable objects, Blocks, Altering flow control, Exceptions and exception handling, BEGIN and END, Threads, fibres and continuations. Methods, Procs, Lambdas and closures Defining simple methods, Method names, Methods and parentheses, Method arguments, Procs and lambdas, Closures, Method objects, Functional programming. Classes and modules Defining a simple class, Method visibility: public, protected, privates, Subclassing and inheritance, Object creation and initialization, Modules, Loading and requiring modules, Singleton methods and Eigenclass, Method lookup, Constant lookup. Reflection and metaprogramming Types, classes and modules, Evaluating strings and blocks, Variables and constants, Methods, Hooks, Tracing, ObjectSpace and GV, Custom control structures, Missing methods and missing constants, Dynamically creating methods, Alias chaining. The Ruby platform Strings, Regular expressions, Numbers and Math, Dates and times, Collections, Files and directories, Input/output, Networking, Threads and concurrency. The Ruby environment Invoking the Ruby interpreter, The Top-level environment, Practical extraction and reporting shortcuts, Calling the OS, Security.