Local, instructor-led live Computer Programming training courses demonstrate through interactive hands-on practice the fundamentals and advanced topics of Programming.
Programming training is available as "onsite live training" or "remote live training". Onsite live Programming training can be carried out locally on customer premises in Lithuania or in NobleProg corporate training centers in Lithuania. Remote live training is carried out by way of an interactive, remote desktop.
NobleProg -- Your Local Training Provider
I really liked that there were a lot of practical exercises in which you could put the learned immediately into action.
Daniel Bubla
Course: Clean Code
The atmosphere was very nice, much more relaxed conversation than classic teaching style. Also, several of the techniques, especially those I doubt would hold up or be worth it (effort-gain-wise) under “real world” work conditions (as mentioned above) made me reflect on my coding style, and why I do or don't do some things (both on topics presented int he course and related ones), which I don't do that often (needed the impetus) but is really useful, even if I come to the conclusion that my style already suits my needs well.
Greentube Internet Entertainment Solutions GmbH
Course: Clean Code
The knowledge of the trainer and his stoic calmness
Motorola Solutions Systems Polska Sp. z o.o
Course: BASH Programming
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a large number of examples and exercises checking knowledge and skills
Motorola Solutions Systems Polska Sp. z o.o
Course: BASH Programming
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Mixing lectures from the practical part
Motorola Solutions Systems Polska Sp. z o.o
Course: BASH Programming
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all issues are discussed in detail
Małgorzata Konior
Course: BASH Programming
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Forbearance of the trainer
Motorola Solutions Systems Polska Sp. z o.o
Course: BASH Programming
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the same subject of training and pleasant atmosphere
Motorola Solutions Systems Polska Sp. z o.o
Course: BASH Programming
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Well, the tutor helps in writing scripts like something does not work, practical knowledge
Motorola Solutions Systems Polska Sp. z o.o
Course: BASH Programming
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A wide range of material
Motorola Solutions Systems Polska Sp. z o.o
Course: BASH Programming
Translated by
Experience well-explained examples.
Motorola Solutions Systems Polska Sp. z o.o
Course: BASH Programming
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| Code | Name | Duration | Overview |
|---|---|---|---|
| javafun | Java Fundamentals | 28 hours | The course covers the basics of Java development. It introduces students to Java technology and teaches them basic Java syntax and concepts, leading to the creation of a simple program. Training goes through the essential concepts and features of the Java Programming Language, focusing on exceptions, basic input/output, concurrency, regular expressions, Java collections framework and the platform environment. The course finishes when all basic Java features have been explained and trained. |
| shiro | Apache Shiro: Securing Your Java Application | 7 hours | Apache Shiro is a powerful Java security framework that performs authentication, authorization, cryptography, and session management. In this instructor-led, live training, participants will learn how to secure a web application with Apache Shiro. By the end of this training, participants will be able to: - Use Shiro's API to secure various types of applications, including mobile, web and enterprise - Enable logins from various data sources, including LDAP, JDBC, Active Directory, etc. Audience - Developers - Security engineers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| unittestinghaskell | Unit Testing with Haskell | 7 hours | This course introduces the tools and techniques needed to write unit tests using HUnit testing framework. HUnit is a unit testing framework for Haskell, similar to the JUnit tool for Java. In this instructor-led, live training, participants will learn how to use HUnit to write unit tests that are direct and easy to understand. By the end of this training, participants will be able to: - Write tests that are easy to create, change, and execute - Use HUnit to group tests into suites and check the results automatically - Write concise and flexible test specifications - Integrate HUnit with other utilities such as QuickCheck and HSpec - Extend the test framework Audience - Test engineers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| fsharptdd | Unit Testing with F# | 7 hours | This course introduces the tools and techniques needed to write F# based unit tests. A special emphasis is placed on test driven development (TDD). Functional TDD is a testing approach that uses functional programming to unit test an application before developing it. Functional programming (as opposed to imperative, state-transition-style programming) in a language such as F# lends itself well to TDD because smaller, well-targeted tests can be written in isolation. In this instructor-led, live training, participants will learn how to use F# to write unit tests that are direct and easy to understand. By the end of this training, participants will be able to: - Build a complete system out of small, isolated functions - Express test cases as properties instead of examples - Write test code without the need for mocks - Reduce the need to control and check for side effects - Use libraries such as NaturalSpec, FsCheck, FsTest, FsUnit and Unquote to facilitate test cases creation - Use F# to overcome some of the problems associated with mainstream Test-driven Development (TDD) Audience - Test engineers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| unittestingwithcsharp | Unit Testing with C# | 14 hours | Unit testing is a testing approach that tests individual units of source code by modifying its properties or triggering an event to confirm whether the outcome is as expected. In this instructor-led, live training, participants will learn how to write and execute unit tests against a sample .Net application using C# and Visual Studio. By the end of this training, participants will be able to: - Use testing frameworks such as NUnit and xUnit.net to create and manage unit test code - Define and implement a broader test driven development approach to testing - Adapt the testing framework to extend the test coverage for an application Audience - Software test engineers - Developers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| pytest | Unit Testing with Python | 21 hours | In this instructor-led, live training, participants will learn how to use PyTest to write short, maintainable tests that are elegant, expressive and readable. By the end of this training, participants will be able to: - Write readable and maintainable tests without the need for boilerplate code - Use the fixture model to write small tests - Scale tests up to complex functional testing for applications, packages, and libraries - Understand and apply PyTest features such as hooks, assert rewriting and plug-ins - Reduce test times by running tests in parallel and across multiple processors - Run tests in a continuous integration environment, together with other utilities such as tox, mock, coverage, unittest, doctest and Selenium - Use Python to test non-Python applications Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| underscore | Underscore.js Fundamentals | 7 hours | Underscore.js is a one of the most popular JavaScript libraries for functional programming. It embraces functional programming principles but is not opinionated and can be used with imperative, object-oriented, functional or other programming styles. Underscore makes Javascript development more productive and efficient. In this instructor-led, live training, participants will learn how to use Underscore to build a JavaScript application. By the end of this training, participants will be able to: - Use Underscore to manipulate and control JavaScript collections, arrays, objects and functions - Use the functional nature of Underscore's libraries to improve the expressiveness and readability of code - Improve code performance - Create aggregations and data manipulations - Integrate with a ViewModel - Build other JavaScript libraries with Underscore Audience - Developers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| codingfornoncoders | Coding for Non-Coders | 21 hours | In this instructor-led, live training, participants will learn the basics of programming as they step through the creation of a web application. By the end of this training, participants will be able to: - Use newly gained coding skills to create their own web application - Understand software development concepts and technologies - Communicate effectively with programmers and engineers Audience - Non-programmers wishing to learn how to program Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| angularrxjs | Reactive Programming with Angular RxJS | 14 hours | Reactive programing is an asynchronous programing paradigm that focuses on data streams and the propagation of data by establishing a defined dependency between the underlying execution models and the emitted data streams from one component to another. Many Angular application design inefficiencies when building asynchronous UIs can be overcome by utilizing reactive style patterns offered by the RxJS library. In this instructor-led, live training, participants will learn how to implement Observable patterns into their Angular application designs as they step through a series of cases showcasing common angular design problems and how they benefit from reactive programing designs. By the end of this training, participants will be able to: - Understand the reactive programing paradigm and the RxJS library - Build UI heavy Angular applications with scalability, flexibility, and responsiveness in mind using reactive programming patterns Audience - Angular application developers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| vuejs | Vue.js: Build an Advanced Single-Page Application | 21 hours | Vue.js is an open-source progressive JavaScript front-end framework for building advanced single-page applications. Vue.js aims to take the best of Angular, make it lightweight, and leave out the unnecessary parts. In this instructor-led, live training, participants will learn how to take advantage of Vue.js's incrementally adoptable architecture to build a complex, single-page application (SPA). By the end of this training, participants will be able to: - Build web apps that process and render data conditionally - Design interactive web apps that react efficiently to user events - Write modular and reusable code - Incrementally progress a view into full-blown single-page application - Integrate Vue.js to an existing webpage - Use Vue's ecosystem to extend the framework's capability Audience - Developers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| nlg | Python for Natural Language Generation | 21 hours | Natural language generation (NLG) refers to the production of natural language text or speech by a computer. In this instructor-led, live training, participants will learn how to use Python to produce high-quality natural language text by building their own NLG system from scratch. Case studies will also be examined and the relevant concepts will be applied to live lab projects for generating content. By the end of this training, participants will be able to: - Use NLG to automatically generate content for various industries, from journalism, to real estate, to weather and sports reporting - Select and organize source content, plan sentences, and prepare a system for automatic generation of original content - Understand the NLG pipeline and apply the right techniques at each stage - Understand the architecture of a Natural Language Generation (NLG) system - Implement the most suitable algorithms and models for analysis and ordering - Pull data from publicly available data sources as well as curated databases to use as material for generated text - Replace manual and laborious writing processes with computer-generated, automated content creation Audience - Developers - Data scientists Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| electron | Electron: Build a Desktop Application with Javascript | 7 hours | Electron (formerly known as Atom Shell) is an open-source framework for building dynamic desktop apps with JavaScript, HTML, and CSS. Electron is maintained by GitHub and is the main GUI framework behind GitHub's Atom, Microsoft's Visual Studio Code and Light Table IDE. In this instructor-led, live training, participants will learn how to build cross-platform native desktop application using only Javascript, HTML and CSS. By the end of this training, participants will be able to: - Download, configure and install Electron - Understand Electron's commands and tool set - Use web based front and back end components such as NodeJS run-time and Chromium to build a multi-platform desktop application - Modularize their application and utilize associated JavaScript files - Build Electron on a low-end commodity machine - Create branding and custom icons by renaming and/or editing the Electron executable file - Integrate other frameworks such as Angular, Photon, and Bootstrap Audience - Developers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| relay | Relay: Efficiently Fetch Data in React Applications | 14 hours | Relay is a JavaScript framework for building data-driven React applications. GraphQL is a data querying language for describing complex, nested data dependencies in modern applications. Together they allow an application's components to be moved anywhere in a render hierarchy without having to apply a cascade of modifications to parent components or to the server code which prepares the data payload. Relay is being used by Facebook in various mobile app projects. In this instructor-led, live training, participants will learn how to apply key Relay concepts such declarative specification of data dependencies, collocation and mutation to build a React application using Relay and GraphQL. By the end of this training, participants will be able to: - Use Relay to compose data queries into efficient batches, provide each component with exactly the data that it requested, update the components when the data changes, and maintain a client-side store (cache) of all data. - Collocate queries and the view's code to more easily reason about a components functionality - Use GraphQL to declare data requirements while allowing Relay to fetch the data on its own - Understand the concept of mutating data on the client and server using GraphQL mutations - Understand the differences between Relay and Flux, in particular how "mutations" implement the concept of actions and modifications - Use routes to determine which data to fetch to render a given component - Make changes in relative isolation, even in large team projects - Create correct, high-performance applications in a straightforward and obvious way Audience - Developers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| RxJS | Reactive Programing with Javascript and RxJS | 7 hours | Reactive programing is an asynchronous programing paradigm that focuses on data streams and the propagation of data by establishing a defined dependency between the underlying execution models and the emitted data streams from one component to another. RxJS is one of the most comprehensive reactive programing libraries for managing UI events, asynchronous HTTP requests, and other data streams. In this instructor-led, live training, participants will become familiar with RxJS's tools and functions as they apply them to a variety of coding problems associated with interactive-heavy based mobile and web apps. Participants will also learn how to create and deploy a UI heavy web app. By the end of this training, participants will be able to: - Understand the reactive programing paradigm and its usefulness for UI heavy application development - Build UI heavy applications with scalability, flexibility, and responsiveness in mind - Easily and freely create and manage a multitude of UI events, asynchronous HTTP requests, and other data streams Audience - Developers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| reactivex | Reactive Programing with Javascript and ReactiveX | 14 hours | ReactiveX is a comprehensive library for creating asynchronous data streams using observable sequences. It enables developers to take advantage of observable streams and their ability to capture emitted events and execute functions accordingly. This instructor-led, live training introduces participants to ReactiveX's comprehensive library for developing responsive applications and walks participants through a series of cases, demonstrating the usefulness and functionality of key features of ReactiveX. By the end of this training, participants will be able to: - Understand the reactive programing paradigm and the functionality of observables and their common use when developing UI heavy applications - Successfully setup an environment for ReactiveX - Create observable events form a multitude of varying items - Apply ReactiveX's transforming and filtering functions Audience - Developers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| jav9functional | Functional Reactive Programing with Java 9 and RxJava | 14 hours | In this instructor-led, live training, participants will learn the advantages and functions of Java 9, Spring, Jersey, and RxJava 2.0 in developing reactive applications as they step through the creation and deployment of a real-life reactive application using Java 9's flow API, Spring, the Akka framework, and RxJava 2.0 functional reactive programing library. By the end of this training, participants will be able to: - Understand the importance and significance of reactive programing in applications and systems development - Run Unit test on RxJava 2.0 - Use the Akka framework under reactive programing principles - Employ Spring to handle the development of concurrent applications - Use Java 9's flow API to develop reactive apps Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| pythontextml | Python: Machine Learning with Text | 21 hours | In this instructor-led, live training, participants will learn how to use the right machine learning and NLP (Natural Language Processing) techniques to extract value from text-based data. By the end of this training, participants will be able to: - Solve text-based data science problems with high-quality, reusable code - Apply different aspects of scikit-learn (classification, clustering, regression, dimensionality reduction) to solve problems - Build effective machine learning models using text-based data - Create a dataset and extract features from unstructured text - Visualize data with Matplotlib - Build and evaluate models to gain insight - Troubleshoot text encoding errors Audience - Developers - Data Scientists Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| unittestingjavascript | Unit Testing with Javascript | 7 hours | In this instructor-led, live training, participants will learn about various JavaScript testing frameworks as they step through the creation of a unit test suite for a web application. By the end of this training, participants will be able to: - Write unit tests in JavaScript using unit test frameworks such as QUnit and Jasmine - Use frameworks such as Mocha and Chai to implement TDD and BDD Audience - Test engineers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| fsharp | F#: Introduction to Functional Programming | 14 hours | F# is a functional-first programming language. It is a strongly typed language that supports different styles of programming, including functional, imperative, object-oriented, and reactive. F# is fully supported in Visual Studio and Xamarin Studio. In this instructor-led, live training, participants will learn functional programming as they step through the creation of a series of sample applications and utilities. By the end of this training, participants will be able to: - Understand the principles of functional programming - Write elegant, maintainable code for solving complex computing problems - Use F# with Javascript and C# to create asynchronous web applications Audience - Developers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| akka | Akka: Build Reactive, Concurrent, and Distributed Applications | 28 hours | Akka is an open-source toolkit and runtime for building concurrent and distributed applications for Java and Scala. In this instructor-led, live training, participants will learn the design principles behind Akka, including the Actor Model and Reactive Manifesto, as they build and deploy an asynchronous, message-driven application in Akka. By the end of this training, participants will be able to: - Apply the "let it crash" model to build applications that self-heal and systems that never stop. - Understand Actors, actor lifecycle and how to employ them to create proper, concurrent parallel systems. - Build Reactive Architecture that is responsive, elastic, resilient, and message driven. - Integrate remoting and clustering features with third party systems. - Deploy the Akka toolkit in production systems, scaling it to multiple nodes and third party systems. - Manage system behavior and horizontal distribution. - Build systems that "react" to environmental changes. Audience - Developers - Architects Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| matlabpredanalytics | Matlab for Predictive Analytics | 21 hours | Predictive analytics is the process of using data analytics to make predictions about the future. This process uses data along with data mining, statistics, and machine learning techniques to create a predictive model for forecasting future events. In this instructor-led, live training, participants will learn how to use Matlab to build predictive models and apply them to large sample data sets to predict future events based on the data. By the end of this training, participants will be able to: - Create predictive models to analyze patterns in historical and transactional data - Use predictive modeling to identify risks and opportunities - Build mathematical models that capture important trends - Use data from devices and business systems to reduce waste, save time, or cut costs Audience - Developers - Engineers - Domain experts Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| CleanC | Clean Code | 14 hours | Why do we need Clean Code? Programs evolve, therefore the code is continuously updated it can be very, very difficult to go back through unclean code to find and update the source code on average, the cost of writing the original code is only 40% of the total cost of a system; 60% of the cost, on average, is spent maintaining and updating code. Bad code dramatically increases that 40/60 ratio, bordering on 20/80 in the worst cases; the more unclean the code is, the more time we just spend updating it. |
| mlbankingpython_ | Machine Learning for Banking (with Python) | 21 hours | Machine Learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Python is a programming language famous for its clear syntax and readability. It offers an excellent collection of well-tested libraries and techniques for developing machine learning applications. In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the banking industry. Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of team projects. Audience - Developers - Data scientists Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| ang2dev | Angular 2 Development | 28 hours | Angular 2 is a new development platform for building mobile and desktop web applications. |
| matlabprescriptive | Matlab for Prescriptive Analytics | 14 hours | Prescriptive analytics is a branch of business analytics, together with descriptive and predictive analytics. It uses predictive models to suggest actions to take for optimal outcomes, relying on optimization and rules-based techniques as a basis for decision making. In this instructor-led, live training, participants will learn how to use Matlab to carry out prescriptive analytics on a set of sample data. By the end of this training, participants will be able to: - Understand the key concepts and frameworks used in prescriptive analytics - Use MATLAB and its toolboxes to acquire, clean and explore data - Use rules-based techniques including inference engines, scorecards, and decision trees to make decisions based on different business scenarios - Use Monte Carlo simulation to analyze uncertainties and ensure sound decision making - Deploy predictive and prescriptive models to enterprise systems Audience - Business analysts - Operations planners - Functional managers - BI (Business Intelligence) team members Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| python_nlp | Natural Language Processing with Deep Dive in Python and NLTK | 35 hours | By the end of the training the delegates are expected to be sufficiently equipped with the essential python concepts and should be able to sufficiently use NLTK to implement most of the NLP and ML based operations. The training is aimed at giving not just an executional knowledge but also the logical and operational knowledge of the technology therein. |
| matlabdl | Matlab for Deep Learning | 14 hours | In this instructor-led, live training, participants will learn how to use Matlab to design, build, and visualize a convolutional neural network for image recognition. By the end of this training, participants will be able to: - Build a deep learning model - Automate data labeling - Work with models from Caffe and TensorFlow-Keras - Train data using multiple GPUs, the cloud, or clusters Audience - Developers - Engineers - Domain experts Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| advtypscript | Advanced Typescript | 7 hours | TypeScript is an open source language for building enterprise Javascript applications. It is a strict superset of JavaScript that compiles to plain Javascript and brings static typing and object-oriented development to the language. This course introduces TypeScript's advanced features and walks participants through the construction of a real-life JavaScript application. By the end of this training, participants will be able to: - Take advantage of Typescript's full capabilities to write better code with fewer errors - Extend existing types with union, intersection, and tuple types - Create and use decorators - Manage asynchronous code using promises, async and await keywords - Write clean, expressive code Audience - Developers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| specflow | SpecFlow: Implementing BDD for .NET | 21 hours | In this instructor-led, live training, participants will learn how to use SpecFlow to write acceptance tests that are understandable by technical as well as non-technical stakeholders. By the end of this training, participants will be able to: - Bind business requirements to .NET code - Apply BDD techniques to build up living documentation for an application - Run SpecFlow from Visual Studio or the command line - Integrate SpecFlow into an existing continuous testing and build environment - Integrate SpecFlow with other testing frameworks such as MSTest, NUnit, xUnit and MbUnit Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice. |
| behat | Behat: Behavior Driven Development (BDD) with PHP | 14 hours | Behat is a Behavior Driven Development (BDD) test framework written in PHP. It facilitates communication among developers, testers, business stakeholders and clients during the software development process. Behat allows non-technical people to write clear descriptions of an application's intended behavior, then runs those "scenarios" as functional tests against the application. In this instructor-led, live training, participants will learn how to write and execute BDD style test cases using Behat and PHP. By the end of this training, participants will be able to: - Run automated tests written in the human-readable, "Given, When, Then" Gherkin language - Use Behat based test cases to improve collaboration between technical and non-technical teams - Integrate Behat with Selenium, Mink, Goutte and other browser emulators to drive tests and generate reports - Extend Behat functionality through its extension system - Test numerous usage scenarios through terminal commands, REST APIs, and more. Audience - Test engineers - Developers Format of the course - Part lecture, part discussion, exercises and heavy hands-on practice |
| Course | Course Date | Course Price [Remote / Classroom] |
|---|---|---|
| Getting Started with Eclipse IDE for Java - Kaunas, City Center | Thu, 2019-05-09 09:30 | 1500EUR / 1900EUR |
| Getting Started with Eclipse IDE for Java - Kaunas, City Center | Wed, 2019-06-05 09:30 | 1500EUR / 1900EUR |
| Getting Started with Eclipse IDE for Java - Kaunas, City Center | Fri, 2019-06-07 09:30 | 1500EUR / 1900EUR |
| Getting Started with Eclipse IDE for Java - Kaunas, City Center | Wed, 2019-06-12 09:30 | 1500EUR / 1900EUR |
| Getting Started with Eclipse IDE for Java - Kaunas, City Center | Fri, 2019-06-28 09:30 | 1500EUR / 1900EUR |
| Course | Venue | Course Date | Course Price [Remote / Classroom] |
|---|---|---|---|
| Combined C/C++/C#, ASP.NET and Web Application Security | Kaunas, City Center | Mon, 2019-05-13 09:30 | 6300EUR / 7300EUR |
| Simulink® for Automotive System Design Advanced Level | Kaunas, City Center | Tue, 2019-06-11 09:30 | 3150EUR / 3750EUR |
| OpenSpan: Robotic Automation and Intelligence | Kaunas, City Center | Tue, 2019-06-11 09:30 | 6300EUR / 7300EUR |
| Business Process Modeling using BPMN and UML | Kaunas, City Center | Tue, 2019-07-02 09:30 | 3150EUR / 3750EUR |
| Mastering Deeplearning4j | Kaunas, City Center | Wed, 2019-07-03 09:30 | 4725EUR / 5525EUR |
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