31 Languages courses in Sheffield

OVERVIEW -------------------------------------------------------------------------------- Data and visual analytics are emerging fields concerned with analysing, modelling, and visualizing complex high-dimensional data. It can be analysed and visualised with many languages like Python, R Programming and more. This course will help to attain the skills and give in-depth knowledge to the participant's enhanced way of modelling, analysing and visualizing techniques.  The course will highlight practical challenges including composite real-world data and will also comprise several practical studies

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.

NETWORK AUTOMATION TRAINING COURSE DESCRIPTION This course concentrates on the technical side of tools and languages for network DevOps rather than the soft skills. These tools include Python, Ansible, Git and NAPALM By the end of the course delegates should be able to recognise the tools that they can use to automate their networks and be able to use the knowledge gained to feel confident approaching network automation. WHAT WILL YOU LEARN * Describe network DevOps. * Choose network automation tools. * Explain the role of various network automation technologies including: Python Ansible Git NAPALM NETWORK AUTOMATION TRAINING COURSE DETAILS * Who will benefit: Those wishing to learn about the tools of network automation. * Prerequisites: Introduction to data communications. * Duration 1 day NETWORK AUTOMATION TRAINING COURSE CONTENTS * What is DevOps and network automation Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Unit testing. Hype vs reality. Benefits and features. * Network monitoring and troubleshooting Traditional methods, SNMP. Netflow and xflow. Traditional automation. Streaming telemetry. Event driven automation. gRPC, Protocol buffers. * Configuration management Catch 22 and initial configuration. ZTP, POAP. Traditional automation. TFTP. Ansible vs the rest (chef, salt, puppet). Jinja2 and templating. How ansible works. * Network programmability Programming languages. Linux, shell scripting. Python vs the rest. Off box vs on box automation. * Python network libraries Sockets pysnmp, ncclient, paramiko, netmiko, pyez, NAPALM. * APIs Proprietary APIs, CLI, NETCONF, RETCONF. YANG, XML, YAML, JSON. * Other tools Git, GitHub, Jenkins, JIRA and others.

This course presents an approach for dealing with security and privacy throughout the entire software development lifecycle. You will learn about vulnerabilities that undermine security, and how to identify and remediate them in your own projects.

XML PRIMER TRAINING COURSE DESCRIPTION This course has been designed for web and intranet developers who want to accelerate their learning of XML and its applications without the grind of book learning. Although a basic knowledge of HTML and JavaScript is assumed, it is also assumed you know very little about XML and how to use it. On completion of this course you should understand the benefits of using XML and be able to design XML solutions where applicable to your company's Internet/intranet requirements. The course will be particularly beneficial if you want to know how to communicate data to diverse applications over the Internet or company intranet. WHAT WILL YOU LEARN * Write XML. * Debug XML. * Examine existing code and determine its function. XML PRIMER TRAINING COURSE DETAILS * Who will benefit: Anyone working with XML. * Prerequisites: HTML5 development fundamentals * Duration 3 days XML PRIMER TRAINING COURSE CONTENTS * The origins of XML Markup languages, SGML, document type definitions and validity, introducing XML, IE and XML, accessing content and adding style. * Basic XML XML document structure, elements and attributes, grammar, well formed documents, other XML elements and references. * Document Type Definition (DTDs) Creating a DTD, basic declaration, declaring elements, content definitions, entities, entity declarations, notations, defining attributes, attribute types, forcing inclusion or exclusion of DTD sections, validation. * Namespaces Declaring namespaces, scoping, removing and changing namespaces, qualified names, attribute namespaces. * An introduction to schemas Constructing schemas, defining the root element and its contents,<ELEMENTTYPE>, defining root element contents, adding attributes definitions, <ATTRIBUTETYPE>, <ELEMENT>, <ATTRIBUTE>. * XML & the Document Object Model (DOM) What the DOM offers, DOM and W3C. * Basic DOM concepts XML documents as trees, terminology of tree elements. Key DOM Objects: The document object and its creation, base objects, IE specifics, the XML node hierarchy. * Programming DOM Viewing a DOM model as XML, getting the root element of a document, iterating nodes of a DOM, basic node properties, collection objects, searching for specific values, filtering a nodelist by tagname, more filtering methods, selecting nodes from their attributes. * Amending Content and Structure Creating/saving a DOM as XML, changing content/structure, dynamically building a DOM. * Using ASP and other techniques ASP techniques, HTTPREQUEST object, XSL, transforming and formatting XML. Formatting Using CSS. CSS And XML. * XSL Transformations - XSLT Introduction, the XSL root element, applying XSL stylesheets to XML, XSL elements and operations, instructions - creating text nodes and applying templates, a 'drill-down' approach, simple output formatting, pattern filters - patterns based on position, the Match and Select attributes and their patterns, formatting output, creating new XML in output.

NETWORK DEVOPS COURSE DESCRIPTION This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. WHAT WILL YOU LEARN * Evaluate network automation tools. * Automate tasks with ansible. * Use git for version control. * Use Python to manage network devices. * Use Python libraries for network devices. NETWORK DEVOPS COURSE DETAILS * Who will benefit: Administrators automating tasks. * Prerequisites: TCP/IP Foundation * Duration 5 days NETWORK DEVOPS COURSE CONTENTS * What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. * Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. * Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. * Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. * Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. * Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. * Ansible templating and roles aConfiguration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. * Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. * Programming with Python Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip instal. Hands on Python programming with pyping. * More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install. Hands on Python programming with pyping. * Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. * Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. * Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. * NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. * Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.

NETWORK AUTOMATION COURSE DESCRIPTION This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. WHAT WILL YOU LEARN * Evaluate network automation tools. * Automate tasks with ansible. * Use git for version control. * Use Python to manage network devices. * Use Python libraries for network devices. NETWORK AUTOMATION COURSE DETAILS * Who will benefit: Network engineers. * Prerequisites: TCP/IP foundation for engineers. * Duration 5 days NETWORK AUTOMATION COURSE CONTENTS * What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. * Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. * Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. * Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. * Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. * Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/ or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. * Ansible templating and roles Configuration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. * Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. * Programming with Python Scripting versus application development, Python interactive mode, Python scripts, Python 2.7 vs Python 3. A simple Python script. Variables, loops, control statements, operators. PEP style guide. Python IDEs. Hands on Simple Python programs. * More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install, Hands on Python programming with pyping. * Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. * Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. * Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. * PyEZ Juniper, NETCONF, installing PyEZ, a first pyEZ script, pyEZ configuration management. Hands on Juniper configuration management with pyEZ. * NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. * Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.

PYTHON TRAINING COURSE DESCRIPTION This Python course focusses on teaching Python for use in network automation and network DevOps. We focus on getting delegates up and running with Python and network automation as quickly as possible rather than making them great programmers. In other words we concentrate on enabling delegates to use network automation libraries such as netmiko, NAPALM and Nornir, and APIs such as NETCONF and RESTCONF rather than enabling delegates to produce object oriented programs. Hands on sessions use Cisco and Juniper devices. WHAT WILL YOU LEARN * Run Python programs. * Read Python programs. * Write Python programs. * Debug Python programs. * Automate network tasks with Python programs. * Configure network devices with Python. * Collect data from network devices with Python. PYTHON TRAINING COURSE DETAILS * Who will benefit: Network engineers. * Prerequisites: TCP/IP Foundation * Duration 5 days PYTHON TRAINING COURSE CONTENTS * What is Python? Programming languages, Why Python? Python in interactive mode, Python scripts, ipython, Python version 2 versus version 3. A simple Python script. Comments. Hands on Installing Python, Hello world. * A network example On box vs off box Python. telnet, ssh, NETCONF, HTTP, APIs, manufacturers and API support, analysis of a simple telnetlib program. Hands on Using Python to retrieve the configuration from a network device. Using wireshark to analyse the actions. * Python basics I/O, operators, variables and assignment, types, indentation, loops and conditionals. Hands on Modifying the telnet program, changing configurations on a network devices. * Functions, classes and methods What are functions, calling functions, builtin functions, useful builtin functions, file handling, classes, objects, creating instances. Hands on Storing configurations in files, configuring devices from files, using an inventory file to work on multiple devices. * Libraries and modules Modules, files and packages, import, from-import, Python standard library, other packages, pip install, executing other programs. Managing python libraries. Hands on Using pip, installing and using ipaddress, subprocess to access netsnmp. For the more advanced, using the sockets library. * Paramiko and netmiko SSH, enabling SSH on devices, keys. Paramiko versus netmiko, example scripts. pexpect. Hands on Configuring VLANs from Python. * pySNMP Gathering facts using previous methods, SNMP review, pySNMP GET, pySNMP and SNMPv3. easySNMP library. Hands on Walking a MIB from Python. * NETCONF What is NETCONF? Enabling NETCONF on devices, A first ncclient script, device handlers, get_config, edit_config, copy_config, delete_config, commit, validate, pyEZ, utils_config, utils.sw. Hands on Configuration using ncclient and PyEZ. This session is expanded for those interesting in JunOS automation. * Manipulating configuration files Builtin functions, string handling. Unicode. Sequences, strings, lists, tuples. Dictionaries. TextFSM. Regular expressions. JSON, YAML, XML, YANG, Jinja2, templates. Hands on Jinja2 templating with Python to configure network devices. * NAPALM Getters, configuration operations, supported devices, NAPALM transport, Config-replace, Config-merge, Compare config, Atomic changes, rollback. Example NAPLAM scripts. Hands on Using NAPALM to gather facts, Using NAPALM for configuration management * REST and RESTCONF What is REST, HTTP methods, GET, POST, cURL, Postman, Python requests library. RESTCONF, a RESTCONF example. Hands on Modifying a configuration using RESTCONF. * Scapy What is scapy, Scapy in interactive mode, Scapy as a module. Hands on Packet crafting from Python. * Warning Errors and exceptions, Exception handling, try, except. Memory management. Garbage collection. Context management, With. Hands on Improving Python code. * Nornir What is Nornir? A network automation framework, inventories, connection management and parallelization. Nornir architecture and other libraires. Hands on Setting up nornir, nornir fact gathering, nornir tasks. * Optional Writing your own functions, Writing your own classes. pyntc. Hands on Writing reusable code.

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

SOFTWARE DEVELOPMENT TRAINING COURSE DESCRIPTION This three-day MTA Training course helps you prepare for Microsoft Technology Associate Exam 98-361, and build an understanding of these topics: Core programming, Object-Oriented programming, general software development, web applications, desktop applications, and databases. This course leverages the same content as found in the Microsoft Official Academic Course (MOAC) for this exam. WHAT WILL YOU LEARN * Describe core programming. * Explain Object Oriented programming. * Describe general software development. * Describe Web applications. * Describe desktop applications. * Explain how databases work. SOFTWARE DEVELOPMENT TRAINING COURSE DETAILS * Who will benefit: Anyone looking to learn the fundamentals of software. * Prerequisites: None. * Duration 3 days SOFTWARE DEVELOPMENT TRAINING COURSE CONTENTS * Core programming * Computer storage and data types How a computer stores programs and the instructions in computer memory, memory stacks and heaps, memory size requirements for the various data storage types, numeric data and textual data. * Computer decision structures Various decision structures used in all computer programming languages; If decision structures; multiple decision structures, such as If…Else and switch/Select Case; reading flowcharts; decision tables; evaluating expressions. * Handling repetition For loops, While loops, Do...While loops and recursion. * Understand error handling Structured exception handling. * Object-oriented programming * Classes Properties, methods, events and constructors; how to create a class; how to use classes in code. * Inheritance Inheriting the functionality of a base class into a derived class. * Polymorphism Extending the functionality in a class after inheriting from a base class, overriding methods in the derived class. * Encapsulation Creating classes that hide their implementation details while still allowing access to the required functionality through the interface, access modifiers. * General software development * Application life cycle management Phases of application life cycle management, software testing. * Interpret application specifications Application specifications, translating them into prototypes, code, select appropriate application type and components. * Algorithms and data structures Arrays, stacks, queues, linked lists and sorting algorithms; performance implications of various data structures; choosing the right data structure. * Web applications * Web page development HTML, CSS, JavaScript. * ASP.NET web application development Page life cycle, event model, state management, client-side versus server-side programming. * Web hosting Creating virtual directories and websites, deploying web applications, understanding the role of Internet Information Services. * Web services Web services that will be consumed by client applications, accessing web services from a client application, SOAP, WSDL. * Desktop applications * Windows apps UI design guideline categories, characteristics and capabilities of Store Apps, identify gestures. * Console-based applications Characteristics and capabilities of console- based applications. * Windows Services Characteristics and capabilities of Windows Services. * Databases * Relational database management systems Characteristics and capabilities of database products, database design, ERDs, normalisation concepts. * Database query methods SQL, creating and accessing stored procedures, updating and selecting data. * Database connection methods Connecting to various types of data stores, such as flat file; XML file; in-memory object; resource optimisation.