42 Operating System courses in London

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.

About this training course Gas-lift is one of the predominant forms of artificial lift used for lifting liquids from conventional, unconventional, onshore and offshore assets. Gas-lift and its various forms (intermittent lift, gas-assisted plunger lift) allows life of well lift-possibilities when selected and applied properly. This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts. This training course covers main components such as application envelope, relative strengths and weaknesses of gas-lift and its different forms like intermittent lift, gas-assisted plunger lift. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the fundamental theories and procedures related to Gas-Lift operations Easily recognize the different components of the gas-lift system and their basic structural and operational features Be able to design a gas-lift installation Comprehend how digital oilfield tools help address ESP challenges Examine recent advances in real-time approaches to the production monitoring and lift management Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about implications of gas-lift systems for their fields and reservoirs Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Oracle Database 12c Admin training course description This Oracle Database 12c Administration course is designed to give the Oracle database administrator practical experience in administering, monitoring, tuning and troubleshooting an Oracle 12c database. Database administrators will gain an understanding of the architecture and processes of the Oracle database server. They will be able to ensure the integrity and availability of a company's data within the Oracle environment. They will be able to monitor the performance of the database, allocate resources with the Resource Manager and Schedule jobs. What will you learn Administer an Oracle database instance. Monitor an Oracle database. Configure the Oracle network environment. Create and manage database storage structures. Manage users, profiles, privileges and roles. Manage undo data and temporary segments. Monitor and resolve lock conflicts. Maintain database security. Implement database auditing. Monitor the performance of the Database. Load and unload data. Use the job scheduler. Configure a database for backup and recovery. Oracle Database 12c Admin training course details Who will benefit: This Oracle Database 12c Administration course is for anyone who needs to administer, monitor and support an Oracle 12c database. Prerequisites: An understanding of relational database concepts and good operating system knowledge. They should have attended the Oracle SQL course or have a good working knowledge of Oracle SQL. Knowledge of the usage of PL/SQL packages is highly recommended. Duration 5 days Oracle Database 12c Admin training course contents Introduction to Oracle database 12c Overview of the Oracle database 12c, Overview of the Oracle Cloud, Relational database concepts, database administration tasks. Oracle Database 12c Architecture Overview of the Oracle database architecture, The Oracle database instance, Oracle Database memory structures, Process architecture and structures, Server and client processes, The Oracle database storage architecture, Connect to the Oracle database instance. Administer a database instance Administrative tools available to a DBA, Use SQL*Plus in Oracle to manage a database instance, Use SQL Developer to manage a database instance, Administer the database using Enterprise Manager (EM), Overview of the Enterprise Manager framework, Access Enterprise Manager Database Express, The Enterprise Manager Database Express Home Page, Enterprise Manager Cloud Control, Initialization parameter files. Configure the Oracle network environment Overview of network configuration, Oracle Net Listener configuration and management, Oracle Net naming methods, Tools for configuring and managing the Oracle network, Using the Net Configuration Assistant, Configure client connections with Net Manager, View listener configuration, Start and stop the Oracle listener, Use TNSPING to test Oracle Net connectivity, Connect to the database, Configure Net Services with Enterprise Manager. Storage Structures Overview of data storage, The database block, Overview of tablespaces and datafiles, Use Enterprise Manager to view the storage structure of the database, Create and alter tablespace commands, Temporary tablespaces, Create and manage datafiles, Use OMF, Drop tablespaces and datafiles. Manage users Predefined database administration accounts, User accounts, Create a user account, User authentication, Change a user's password, Manage a user account, Drop a user account, Monitor user information, Terminate user sessions. Manage profiles and resources Overview of user profiles, Profile resource parameters, Create profile command, Manage passwords with profiles, Control resource usage with profiles, Maintain profiles. Manage privileges Database access, Oracle supplied roles, System and object level privileges, The grant and revoke commands, Create, modify and drop roles, Use predefined roles. Database auditing Overview of database security, Overview of database auditing, Security compliance, Standard auditing, Unified audit trail, Separation of audit responsibilities with the AUDIT_ADMIN and AUDIT_VIEWER roles, Configure the audit trail, Specify audit options. Data concurrency and lock conflicts Levels of locking in Oracle, Methods used to acquire locks, Data concurrency, Possible causes of contention, DML locks, Prevent locking problems, Detect lock contention, Resolve conflicts. Undo management Undo data overview, Monitor and administer undo, Configure undo retention, Switch undo tablespaces, Specify the retention period, Guarantee undo retention, Retention period for flashback queries, View undo space information, Use the undo advisor, Size the undo tablespace, Alter an undo tablespace to a fixed size. Proactive database management Database Maintenance, View the alert log, The Automatic Workload Repository, Statistic levels, The Automatic Database Diagnostic Monitoring, Monitor an Oracle database, Use the Advisors, Set up notification rules/ Performance management Tuning information sources, Performance monitoring, Tuning activities, Performance planning, Instance tuning, Performance tuning methodology, Performance tuning data, Monitoring performance, Managing memory. SQL tuning SQL tuning, The Oracle Optimizer, SQL Plan directives, Adaptive execution plans, SQL Advisors, Automatic SQL Tuning results, Implement automatic tuning recommendations , SQL Tuning Advisor. Moving data Create directory objects , Data Pump architecture, Data Pump data dictionary views, Data Pump interactive mode, Data Pump API, Use Data Pump to export and import data, Overview of SQL Loader, Command line parameters, Record filtering, Control file keywords, Datafiles, SQL Loader data paths, External Tables. Automate tasks with the scheduler Introduction to the Scheduler, Access Rights, Scheduler components and workflow, Create a Job, Job Classes, Use time based, event based schedules, Create an event based schedule. Managing resources with Resource Manager Overview of the Database Resource Manage, Use the Resource Manager, Create Resource Plans, The default maintenance resource manager plan, Create Resource Plan Directives, Allocate resources for Resource Plans. Manage space Overview of space management, Block space management within segments, Segment types, Allocate extents, Allocate space, Row chaining and migration, Create tables without segments. Backup and recovery configuration Oracle backup solutions, Oracle suggested backup strategy, Overview of database backup, restore and recover, Flashback technology, Types of failure ,Instance recovery, Tune instance recovery, The MTTR Advisor, Media failure, Configure a database for recoverability Oracle support The Enterprise Manager Support Workbench, Register for security updates, Work with Oracle Support, My Oracle Support integration, Log Service Requests, Manage patches, Apply a patch

About this training course Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Understanding of these important production concepts is a must have to exploit the existing assets profitably. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses Easily recognize the different components from downhole to the surface and their basic structural and operational features Design and analyze different components using appropriate software tools Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization Learn about use cases of Machine learning and artificial intelligence in the artificial lift Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course. Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.

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VMware training course description This five-day VMware course features intensive handson training that focuses on installing, configuring, and managing VMware vSphere 8, which includes VMware ESXi 8 and VMware vCenter 8. This course prepares you to administer a vSphere infrastructure for an organization of any size. This course is the foundation for most VMware technologies in the software-defined data center. What will you learn Install and configure ESXi hosts. Deploy and configure vCenter. Create virtual networks using standard and distributed switches. Configure VMs, templates, clones, and snapshots. Manage virtual machine resource allocation. Migrate virtual machines with vSphere vMotion and vSphere Storage vMotion. VMware training course details Who will benefit: Systems administrators and engineers. Prerequisites: Introduction to data communications & networking. Windows/Linux Administration. Duration 5 days VMware training course contents Course Introduction Introductions and course logistics. Course objectives vSphere and Virtualization Overview Explain basic virtualization concepts, Describe how vSphere fits in the software-defined data center and the cloud infrastructure, Recognize the user interfaces for accessing vSphere, Explain how vSphere interacts with CPUs, memory, networks, storage, and GPUs Installing and Configuring ESXi Install an ESXi host, Recognize ESXi user account best practices, Configure the ESXi host settings using the DCUI and VMware Host Client Deploying and Configuring vCenter Recognize ESXi hosts communication with vCenter, Deploy vCenter Server Appliance, Configure vCenter settings, Use the vSphere Client to add and manage license keys, Create and organize vCenter inventory objects, Recognize the rules for applying vCenter permissions, View vCenter logs and events Configuring vSphere Networking Configure and view standard switch configurations, Configure and view distributed switch configurations, Recognize the difference between standard switches and distributed switches, Explain how to set networking policies on standard and distributed switches Configuring vSphere Storage Recognize vSphere storage technologies, Identify types of vSphere datastores, Describe Fibre Channel components and addressing, Describe iSCSI components and addressing, Configure iSCSI storage on ESXi, Create and manage VMFS datastores, Configure and manage NFS datastores Deploying Virtual Machines Create and provision VMs, Explain the importance of VMware Tools, Identify the files that make up a VM Recognize the components of a VM, Navigate the vSphere, Client and examine VM settings and options, Modify VMs by dynamically increasing resources, Create VM templates and deploy VMs from them, Clone VMs, Create customization specifications for guest operating systems, Create local, published, and subscribed content libraries, Deploy VMs from content libraries, Manage multiple versions of VM templates in content libraries Managing Virtual Machines Recognize the types of VM migrations that you can perform within a vCenter instance and across vCenter instances, Migrate VMs using vSphere vMotion, Describe the role of Enhanced vMotion Compatibility in migrations, Migrate VMs using vSphere Storage vMotion, Take a snapshot of a VM, Manage, consolidate, and delete snapshots, Describe CPU and memory concepts in relation to a virtualized environment, Describe how VMs compete for resources Define CPU and memory shares, reservations, and limits Deploying and Configuring vSphere Clusters Create a vSphere cluster enabled for vSphere DRS and vSphere HA, View information about a vSphere cluster Explain how vSphere DRS determines VM placement on hosts in the cluster, Recognize use cases for vSphere DRS settings, Monitor a vSphere DRS cluster Describe how vSphere HA responds to various types of failures, Identify options for configuring network redundancy in a vSphere HA cluster, Recognize vSphere HA design considerations, Recognize the use cases for various vSphere HA settings, Configure a vSphere HA cluster, Recognize when to use vSphere Fault Tolerance Managing the vSphere Lifecycle Enable vSphere Lifecycle Manager in a vSphere cluster, Describe features of the vCenter Update Planner, Run vCenter upgrade prechecks and interoperability reports, Recognize features of vSphere Lifecycle Manager, Distinguish between managing hosts using baselines and managing hosts using images, Describe how to update hosts using baselines, Describe ESXi images, Validate ESXi host compliance against a cluster image and update ESXi hosts, Update ESXi hosts using vSphere Lifecycle Manager, Describe vSphere Lifecycle Manager automatic recommendations, Use vSphere Lifecycle Manager to upgrade VMware Tools and VM hardware

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