623 Courses in Sheffield

Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assert…). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.

Samba training course description Samba enables UNIX/Linux machines to act as Microsoft File and Print servers. This two day hands on training course progresses from the basics of installing samba and simple configurations through to authentication issues and troubleshooting. What will you learn Install and configure Samba. Administrate file and printer sharing. Secure Samba servers. Troubleshoot Samba Samba training course details Who will benefit: Technical staff working with Samba. Prerequisites: Intro to UNIX Systems Administration TCP/IP Foundation. Duration 2 days Samba training course contents What is Samba? File and print servers, Samba server roles, Windows networking, NetBIOS, SMB. Hands on Microsoft File and Print shares, analysing the network traffic. Installing Samba Source, binaries, where to find samba, building and compiling Samba. Hands on Download and install Samba. Controlling Samba Samba daemons, starting and stopping Samba, smbcontrol, Samba net command, smb.conf. Viewing Samba status, smbclient. Hands on Starting and stopping Samba, testing the server. Samba configuration Simple shares, smb.conf variables, configuration from a web browser, swat, enabling access to swat. Hands on Configuring samba servers and clients. File sharing Basic shares, [homes], locking options, UNIX file permissions, controlling user access, Windows ACLs, virtual samba servers, browsing. Hands on File sharing and browsing. Print sharing Sharing printers, UNIX printing, CUPS, printer drivers, [printers], PRINT$. Hands on Samba print server. Authentication Workgroups, domains, users and passwords, Samba domain security, Samba password backends: smbpasswd, tdbsam, nisplus, mysql, Active Directory. Hands on Securing samba shares. Troubleshooting Logging options, controlling logs, Samba utilities, network protocols, .SMB/CIFS. Performance tuning. Hands on Troubleshooting Samba

Advanced Asterisk training course description This 2 day hands-on Asterisk training course covers advanced Asterisk configuration including fault tolerant clusters, upgrading and patching Asterisk servers, firewall and NAT transversal, using databases to store Asterisk data. Practical sessions follow each major section to reinforce the theory. What will you learn Configure advanced Asterisk features. Utilise databases from Asterisk Integrate Asterisk with SIP servers. Build High Availability Asterisk clusters. Maintain and secure Asterisk servers. Advanced Asterisk training course details Who will benefit: Technical staff working with or evaluating Asterisk. Prerequisites: Definitive Asterisk for engineers Duration 2 days Advanced Asterisk training course contents Best Practice Review of basics, Channel best practice, dial plan best practise. Call Centre Features GUI, Asterisk Manager Interface, billing, CDR, advanced IVR, ACD, Vici Dial. Hands on Install Vici-Dial Asterisk and Databases MySQL, LDAP, ODBC, dial plan from a Database, storing CDR in a Database, Hands on Dial plan in MySQL, CDR in MySQL. TDM over Ethernet What is TDMoE, Asterisk to Asterisk TDMoE, Phone Bridge. Hands on * 2 * via TDMoE. High Availability Asterisk HA Linux - Virtual Servers, Fail-over steps, setting up HA Linux, configuring Asterisk for fail-over on HA Linux, Hands on Configure Asterisk HA. Advanced Dial plans Asterisk Gateway Interface, AGI IVR applications, Multiple switches sharing Dial plans, ENUM, DUNDI. Hands on Configure DUNDI. Integration Legacy PBX, SIP Proxys, OpenSER. Hands on Configure SER to work with Asterisk. Asterisk Maintenance Asterisk upgrades, implementing patches, advanced debugging, Security Firewalls, NAT, Asterisk security issues. Hands on Configure Asterisk to work through a Firewall and NAT.

Overview This training course is a comprehensive training with the aim to provide expert training to the participants to understand bidding and tender process and how to do successful bidding.

Overview This Private Banking & Wealth Management training course is designed to give you the skills to acquire, protect/preserve, enjoy and pass on wealth. As a result, it is specifically designed for those working in the industry as well as those with an interest in investments and markets.

About this training course This 5-days comprehensive training course provides not only an introduction into the issues associated with the development of the pipeline transportation of CO2 from its Capture, it's transportation, storage and usage but also provides an in depth understanding of the issues to be considered in the development, design and operations of these pipelines. The theme throughout this training course is CO2 Flow Assurance and Innovative Technologies. Each training day will consist of lectures in the morning and a hands-on workshop in the afternoon. The workshop allows the participants to appreciate the design process associated with CO2 transport and its operations. Various software will be available during the workshop to predict thermo hydraulics and associated phase flows through CO2 pipelines and the attached infrastructure. Further software to assess surge and environmental safety will also be available. The CO2 pipeline design approach will consider an integrated solution through modelling the CO2 capture system as well as the host storage facility. The participants will have a total appreciation of the methodology required to develop a CO2 transportation system and have an understanding of all of the Flow Assurance, risks, and operating issues and technology requirements. Training Objectives After the completion of this training course, participants will be able to: Understand the process required and identify data to analyse Flow Assurance for CO2 pipeline transport Review and Identify the Flow Assurance issues required to be evaluated for CO2 pipeline transport design and operations methodology. These include; Hydrates, Slugging, Corrosion, Scaling, Fluid Phase Behaviour and transient conditions Establish the studies to be undertaken for each area of CO2 transport including 'Rules of Thumb' and software to be used Comprehend the need for innovative methods and the technologies to mitigate Flow Assurance issues and the need for economics considerations Appreciate the need for an integrated analysis of the CO2 transport system from the CO2 capture to the host storage facility Gain an appreciation of the emerging and enabling technologies for CO2 transport and storage application Dive deeper into the operational strategies requirements to mitigate Flow Assurance issues Target Audience This training course is suitable and will greatly benefit the following specific groups: Reservoir Engineers Flow Assurance Engineers Thermodynamics Engineers Process and Chemical Engineers Pipeline Engineers Facilities Engineers Control and Subsea Engineers working in the Oil and Gas industries Engineers in other disciplines may attend that require an appreciation of CO2 pipeline transport Control and Subsea Engineers working in the Oil and Gas industries Engineers in other disciplines may attend that require an appreciation of CO2 pipeline transport Course Level Intermediate 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 Course delivery: The maximum number of participants allowed for this training course is 20. A basic understanding of thermo-hydraulics would be advantageous. Morning Lectures and afternoon hands-on practical workshop. Special features: PC-based simulation software demonstration Workshop for hands-on training Course References & Additional resources: 'CO2 Transport from Capture to Storage and Usage', 1st Edition Handouts Pre & Post Assessment Trainer Your expert course leader is a renowned specialist in flow assurance management for the oil & gas field developments. His expertise enables him to support the operating and contracting companies as well as financial institutions regarding due diligence on offshore development investment decisions and associated operational system risks. Technical assessment of fields for acquisition and production enhancement opportunity. He possesses specialist expertise in evaluating difficult pipeline fluids transport such as Ethylene, Carbon Dioxide and Hydrogen through feasibility studies and technical reviews for clients. He has an exceptional academic background and natural leadership abilities are supported by practical experience of diverse projects worldwide, along with numerous publications at key conferences and publication of four books. Particular interests in developing novel and innovative technologies for subsea applications to solve difficult flow assurance problem areas and improve field development economics. He has worked on major industry projects including; Concorde aircraft fuelling system, the Channel Tunnel aerodynamics and the first deep water oil field development (Foinaven) in the West of Shetland. He is also currently developing a renewable energy solar farm and carbon neutral energy crop (Miscanthus) for domestic and commercial power generation application. He has developed in-house resources including specialist oil & gas field development evaluation software for subsea and onshore field infrastructure development options including; costing and financial analysis, reservoir viability, flow assurance assessment, subsea processing and boosting technologies, flow induced vibrations, surge analysis, heat transfer and chemical injection systems. Patents: · Subsea Seabed Power Generation for Depleting Gas fields Using Renewable Energy · Gas to Liquids Absorption Technology (GTLA) for subsea and onshore Flow Assurance applications · Subsea Gas Compressor System using pigs and liquid pumps · Pressure Boosting using water injection pumps · B&W Mentor subsea multi-phase meter · Surge suppression using a contained gas method for pipeline systems 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

Cloud deployment training course description This course covers the important topics every cloud professional needs, including, configuration and deployment, security, maintenance, management, and troubleshooting. It covers all aspects of cloud computing infrastructure and administration, with a practical focus on real-world skills. It will help you to master the fundamental concepts, terminology, and characteristics of cloud computing. Deploy and implement cloud solutions, manage the infrastructure, and monitor performance. You will also be able to install, configure, and manage virtual machines. What will you learn Cloud services, models, and characteristics. Virtualization components, installation, and configuration. Infrastructure configurations and optimization. Resource management and specific allocations. IT security concepts, tools, and best practices. Recovery, availability and continuity in the cloud. Cloud deployment training course details Who will benefit: IT professionals looking to deploy and implement cloud solutions, manage the infrastructure, and monitor performance, Install, configure, and manage virtual machines. Prerequisites: Introduction to virtualization. Duration 5 days Cloud deployment training course contents Preparing to Deploy Cloud Solutions Deploying a Pilot Project Testing Pilot Project Deployments Designing a Secure and Compliant Cloud Infrastructure Designing and Implementing a Secure Cloud Environment Planning Identity and Access Management for Cloud Deployments Determining CPU and Memory Sizing for Cloud Deployments Determining Storage Requirements for Cloud Deployments Analysing Workload Characteristics to Ensure Successful Migration Maintaining Cloud Systems Implementing Backup, Restore, Disaster Recovery, and Business Continuity Measures Analysing Cloud Systems for Performance Analysing Cloud Systems for Anomalies and Growth Forecasting Troubleshooting Deployment, Capacity, Automation, and Orchestration Issues Troubleshooting Connectivity Issues Troubleshooting Security Issues

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

ADO.NET training course description This ADO.net training course is designed to enable developers to use the toolset provided with.NET for data access including ADO.net objects, data controls, designers and interoperability with earlier ADO objects. The course is applicable for those using C# or VB.NET with ADO.NET What will you learn Retrieve and manipulate data using Microsoft's ADO.NET library. Work with the ADO.NET object model. Update data, including handling stored procedures, parameters, and return value. Search, sort and filter data. Leverage the power of XML. ADO.NET training course details Who will benefit: Programmers working with ADO.Net. Prerequisites: Effective programming with VB.NET or Concise introduction to C# Duration 2 days ADO.NET training course contents Introducing ADO.Net Traditional Data Access Architecture. ADO.Net Disconnected Data Access Architecture. Different components of ADO.Net. A review of basic SQL queries SQL SELECT Statement. SQL INSERT Statement. SQL UPDATE Statement. SQL DELETE Statement. Common data access tasks with ADO.Net Accessing Data using ADO.Net. Defining the connection string. Defining a Connection. Defining the command or command string. Defining the Data Adapter. Creating and filling the DataSet. A Demonstration Application The Interface. Loading the table. Filling the controls on the Form. Navigating through the records. Updating Data Steps for updating the table. Building the Application. Loading the table and displaying data in the form's controls. Initialising Commands. Adding Parameters to the commands. The ToggleControls() method of our application. Editing (or Updating) Records. Event Handler for the Save Button. Event Handler for the Cancel Button. Inserting Records. Deleting a Record. Using Stored Procedures Sample Stored Procedures. UPDATE Stored Procedure. INSERT Stored Procedure. DELETE Stored Procedure. SELECT Stored Procedure. Using Stored Procedures with ADO.Net.

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.