Local, instructorled live Computer Programming training courses demonstrate through interactive handson practice the fundamentals and advanced topics of Programming
Programming training is available as "onsite live training" or "remote live training" Onsite live training can be carried out locally on customer premises in Norge or in NobleProg corporate training centers in Norge Remote live training is carried out by way of an interactive, remote desktop
NobleProg Your Local Training Provider .
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Testimonials
Den ideelle inndelingen av teori og praksis. Et stort pluss var den faktiske oversettelsen av tvetydighet og besvare alle spørsmål.
Izabela Blezień
Kurs: Building Web Apps using the MEAN stack
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Samspillet og entusiasmen han hadde om treningen.
Richard Burgos
Kurs: Design Patterns in PHP
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Det nye innholdet lærte jeg
Victor Cayetano
Kurs: Design Patterns in PHP
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øvelsen
Jason Wu
Kurs: Design Patterns in PHP
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Jeg liker støtten fra treneren og emnene. Jeg kom inn med et tankesett og tenkte at dette ikke er noe nytt jeg ikke har gjort. Men jeg ble overrasket over hva jeg har lært gjennom dette kurset. Takk skal du ha
Jorgen Ordonez
Kurs: Design Patterns in PHP
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eksempler og måten han forklarte
Sandeep Parashar
Kurs: VBA For Access & Excel
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Forklaringsmåten og inkludert tips om beste praksis i VBA / Access , oppmuntrende via trening til å tenke mer på oss selv hvordan vi skal løse problemet i stedet for å gi klare løsninger
Daria Rudin
Kurs: VBA For Access & Excel
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Kamil var usedvanlig tålmodig og veldig hjelpsom med å finne ut løsninger på reelle behov. Han var også veldig ærlig på om han ikke visste noe fra toppen av hodet, noe som gjorde at vi raskt kunne hoppe videre på treningene og vi ikke mistet tid.
Christine Weiler
Kurs: VBA For Access & Excel
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Det er bra å ha hender på øvelser etter forelesninger
bonnie lee
Kurs: AngularJS Good Practices
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Koden eksempler og utdyping.
Antony Ho
Kurs: AngularJS Good Practices
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alt
Rafał Dąbrowski
Kurs: Javascript And Ajax
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Treneren fokuserte på hver enkelt personers krav til kurset og avstemte materialet for å passe våre mål.
Daniel Watkins
Kurs: Visual Studio with VB.Net
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alle eksemplene i kode
Kurs: Node.js for JavaScript Developers
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Kodeøvelsene var gode og engasjerende.
Kurs: Node.js for JavaScript Developers
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Hands-on. Mye hjelp. Mye plass for å stille spørsmål og få svar.
Abdul Zaheer
Kurs: Node.js for JavaScript Developers
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Opprette Connect mellomvare
Kurs: Node.js for JavaScript Developers
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Eksempler var relatable
Yongching Tee
Kurs: Node.js for JavaScript Developers
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Jeg følte at det var den rette blandingen av forelesning og praktisk anvendelse.
David Jaggie
Kurs: Node.js for JavaScript Developers
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Jeg foretrakk øvelsen og lærte om kroker og kroker av Python
Connor Brierley-Green
Kurs: Python Programming
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Joey har en smittende entusiasme rundt programmering. Og han var veldig flink til å tilpasse seg behovene og interessene våre på farten.
Randy Enkin
Kurs: Python Programming
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Mange eksempler gjorde at jeg var lett å forstå.
Lingmin Cao
Kurs: Python Programming
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Eksempler og øvelser ispedd teori, alle godt porsjonerte
Paweł Wiśniewski
Kurs: Perl Programming
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Individuell tilnærming til treningsdeltakere
Łukasz Kamiński
Kurs: Perl Programming
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Jeg liker Doctrine-konseptet i Symfony tatt av treneren. Treneren er mer energisk og gjør øktene mer interaktive. Jeg tror det er en stor evne for treneren
Kumaran Chandran
Kurs: Web Development with Symfony3
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Jeg likte trenerens kommunikasjon og kunnskap i Symfony 3 og tilhørende teknologier. Han hadde brukt nok arbeid for å undervise og demonstrere med noen eksempler i de respektive emnene. Jeg kan si at min symfonikunnskap og selvtillitsnivå har gått opp etter denne treningen.
Hari Kumar
Kurs: Web Development with Symfony3
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Abhinav gjorde en utmerket jobb! I løpet av fire dager dekket han alle viktige konsepter som brukes i ekte programvareutvikling. Jeg er så takknemlig for at han som vår trener!
Vijay Joseph
Kurs: Web Development with Symfony3
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Manner og kunnskap om læreren.
Małgorzata Kręglewska-Stolarska
Kurs: Programowanie w ASP.NET MVC 5
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Øvelser
Anna Szumniak
Kurs: Visual Basic for Applications (VBA) in Excel - Introduction to programming
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Treningsagenda var gjennomtenkt
Przemek Zalasinski
Kurs: Visual Basic for Applications (VBA) in Excel - Introduction to programming
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korte øvelser
Mateusz Podsiadlo
Kurs: Visual Basic for Applications (VBA) in Excel - Introduction to programming
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Operatørens omfattende kunnskap - alle spørsmålene våre ga svar som overveldet mine forventninger ... Foreleseren fører store diskusjoner ... Han mangler ikke tålmodighet ...
Łukasz Matulewicz
Kurs: Programowanie w języku Python
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Verten vet mye, en rekke verktøy og en praktisk tilnærming til temaet
Magdalena Stupak
Kurs: Programowanie w języku Python
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god kunnskap om trener, hvordan du kan oversette
Renata Cylejowska
Kurs: Programowanie w języku Python
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måte å kjøre på
HSBC Service Delivery (Polska) Sp. z o.o.
Kurs: Programowanie w języku C++
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C++ problemer ble umiddelbart implementert på datamaskiner av opplæring av deltakere.
Paweł Musiał
Kurs: Programowanie w języku C++
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Organisering av kunnskap om kantete
Kacper Pawłowski
Kurs: Angular JavaScript
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gjennomføre klasser
Iwona Opałka
Kurs: Angular JavaScript
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Tilnærming til deltakeren
Alan Łukowski
Kurs: Angular JavaScript
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Foreleserens åpenhet, kunnskap
Krzysztof Dałek
Kurs: Angular JavaScript
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Samhandling med læreren, muligheten til å stille varme spørsmål
Grzegorz Ziegert
Kurs: Administration with Powershell
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et stort spekter av informasjon
Piotr Janicki
Kurs: Visual Basic for Applications (VBA) w Excel - wstęp do programowania
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problemløsning regelmessig. søker etter de mest nyttige elementene for praktikanter.
Dominik Gardo
Kurs: Visual Basic for Applications (VBA) w Excel - wstęp do programowania
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faktum at tilpasning ble tatt på alvor
jurgen linsen
Kurs: Python Programming
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Trenerens hjelp til å løse problemer
Tomasz Czornak
Kurs: Visual Basic for Applications (VBA) w Excel - poziom zaawansowany
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Gjør liveøvelser i Excel , og trener kunnskap.
Perceval Pradelle
Kurs: Visual Basic for Applications (VBA) w Excel - poziom zaawansowany
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praksis og installasjon og bruk av derivatkomponenter som trengs for trening (mysql, tomcat etc.)
Grzegorz Winiarski
Kurs: Programowanie w języku Java
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kommunikativ måte å lede, enkelt og forståelig språk, oversettelse til effekt
Agata Wodecka-Barejko
Kurs: Programowanie w języku Java
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Siden jeg var den eneste deltakeren, kunne treningen tilpasses mine behov.
Kevin THIERRY
Kurs: Web Development with Web2Py
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Kommunikasjon med treneren - vilje til å svare på spørsmål.
Michał Rajkowski
Kurs: Administracja serwerem GlassFish
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Hans veldig gode kunnskaper og erfaring.
Jérémy Coppe
Kurs: Java Programming
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alle eksemplene i kode
Kurs: Node.js for JavaScript Developers
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Kodeøvelsene var gode og engasjerende.
Kurs: Node.js for JavaScript Developers
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Opprette Connect mellomvare
Kurs: Node.js for JavaScript Developers
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Programming Kursplaner
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21 timer
Overview
Node.js is a platform for easily building fast, scalable network applications. Learn how to use the event-driven, non-blocking I/O model to build data-intensive real-time applications that run across distributed devices. We will explore the design choices that make Node.js unique, how this changes the way applications are built and how systems of applications work most effectively in this model. Learn how to create modular code that’s robust, expressive and clear. Understand when to use callbacks, event emitters and streams. Use streams to easily manipulate data that would be impossible to fit in application memory. Gain confidence in handling errors effectively to ensure runtime reliability. The course has extensive lab exercises to reinforce the concepts and techniques covered.
Objectives
On completion of this course, students will be able to:
- Clearly understand the platform design choices that led to Node.js choosing an event loop and what this means for applications built on that foundation.
- Understand the unique trade-offs present in event-driven programming.
- Create Node.js modules and express code modularity in an application.
- Understand the core flow control patterns in Node.js and know when it is appropriate to use callbacks, event emitters or streams.
- Create and manipulate buffers efficiently.
- Understand how to manage error state and know when a process should exit due to an error.
- Build network applications with Node.js.
Node.js is a platform for easily building fast, scalable network applications. Learn how to use the event-driven, non-blocking I/O model to build data-intensive real-time applications that run across distributed devices. We will explore the design choices that make Node.js unique, how this changes the way applications are built and how systems of applications work most effectively in this model. Learn how to create modular code that’s robust, expressive and clear. Understand when to use callbacks, event emitters and streams. Use streams to easily manipulate data that would be impossible to fit in application memory. Gain confidence in handling errors effectively to ensure runtime reliability. The course has extensive lab exercises to reinforce the concepts and techniques covered.
Objectives
On completion of this course, students will be able to:
- Clearly understand the platform design choices that led to Node.js choosing an event loop and what this means for applications built on that foundation.
- Understand the unique trade-offs present in event-driven programming.
- Create Node.js modules and express code modularity in an application.
- Understand the core flow control patterns in Node.js and know when it is appropriate to use callbacks, event emitters or streams.
- Create and manipulate buffers efficiently.
- Understand how to manage error state and know when a process should exit due to an error.
- Build network applications with Node.js.
28 timer
This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.
The course can be delivered using the latest Python version 3.x with practical exercises making use of the full power. This course can be delivered on any operating system (all flavours of UNIX, including Linux and Mac OS X, as well as Microsoft Windows).
The practical exercises constitute about 70% of the course time, and around 30% are demonstrations and presentations. Discussions and questions can be asked throughout the course.
Note: the training can be tailored to specific needs upon prior request ahead of the proposed course date.
The course can be delivered using the latest Python version 3.x with practical exercises making use of the full power. This course can be delivered on any operating system (all flavours of UNIX, including Linux and Mac OS X, as well as Microsoft Windows).
The practical exercises constitute about 70% of the course time, and around 30% are demonstrations and presentations. Discussions and questions can be asked throughout the course.
Note: the training can be tailored to specific needs upon prior request ahead of the proposed course date.
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This instructor-led, live training in Norge (online or onsite) is aimed at software architects and web developers who wish to use RabbitMQ as a messaging middle-ware and program in Java using Spring to build applications.
By the end of this training, participants will be able to:
- Use Java and Spring with RabbitMQ to build applications.
- Design asynchronous message driven systems using RabbitMQ.
- Create and apply queues, topics, exchanges, and bindings in RabbitMQ
By the end of this training, participants will be able to:
- Use Java and Spring with RabbitMQ to build applications.
- Design asynchronous message driven systems using RabbitMQ.
- Create and apply queues, topics, exchanges, and bindings in RabbitMQ
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JavaScript is a programming language designed for manipulating a web page.
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In this instructor-led, live training in Norge, participants will learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, data analysis and visualization, UI programming and maintenance scripting.
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In this instructor-led, live training in Norge, participants will learn how to install, configure and administer RabbitMQ, then integrate RabbitMQ messaging into a number of sample .NET applications.
By the end of this training, participants will be able to:
- Setup, configure and manage RabbitMQ.
- Understand RabbitQ's role in the design and implementation of a microservices architecture.
- Understand how RabbitMQ compares to other Message Queuing Architectures.
- Set up and use RabbitMQ as a broker for handling asynchronous and synchronous messages for real-world enterprise .Net applications.
By the end of this training, participants will be able to:
- Setup, configure and manage RabbitMQ.
- Understand RabbitQ's role in the design and implementation of a microservices architecture.
- Understand how RabbitMQ compares to other Message Queuing Architectures.
- Set up and use RabbitMQ as a broker for handling asynchronous and synchronous messages for real-world enterprise .Net applications.
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In this instructor-led, live training in Norge, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises.
By the end of this training, participants will be able to:
- Learn how to use Spark with Python to analyze Big Data.
- Work on exercises that mimic real world cases.
- Use different tools and techniques for big data analysis using PySpark.
By the end of this training, participants will be able to:
- Learn how to use Spark with Python to analyze Big Data.
- Work on exercises that mimic real world cases.
- Use different tools and techniques for big data analysis using PySpark.
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This instructor-led, live training in Norge (online or onsite) is aimed at data analysts who wish to use advanced VBA in Excel for automating tasks.
By the end of this training, participants will be able to:
- Write an advanced object-oriented application
- Convert text files
- Use of external data sources
- Use external libraries
By the end of this training, participants will be able to:
- Write an advanced object-oriented application
- Convert text files
- Use of external data sources
- Use external libraries
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In this instructor-led, live training in Norge (online or onsite), participants will learn how to decouple a PHP application, then integrate it with the RabbitMQ messaging system to create distributed cloud applications or microservices.
By the end of this training, participants will be able to:
- Setup, configure and manage RabbitMQ.
- Understand RabbitMQ's role in the design and implementation of a microservice's architecture.
- Set up and use RabbitMQ as a broker for handling asynchronous and synchronous messages for real-world PHP applications.
By the end of this training, participants will be able to:
- Setup, configure and manage RabbitMQ.
- Understand RabbitMQ's role in the design and implementation of a microservice's architecture.
- Set up and use RabbitMQ as a broker for handling asynchronous and synchronous messages for real-world PHP applications.
14 timer
This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.
21 timer
This instructor-led, live training in Norge (online or onsite) is aimed at data analysts who wish to use VBA in Excel for automating tasks.
By the end of this training, participants will be able to:
- Record and edit macros as required.
- Write procedures using data from the sheet.
- Create your own functions.
- Handle an event (opening worksheet cell update etc.) by means of the handler.
- Create a form.
By the end of this training, participants will be able to:
- Record and edit macros as required.
- Write procedures using data from the sheet.
- Create your own functions.
- Handle an event (opening worksheet cell update etc.) by means of the handler.
- Create a form.
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The training course will help the participants prepare for Web Application Development using Python Programming with Data Analytics. Such data visualization is a great tool for Top Management in decision making.
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This instructor-led, live training in Norge (online or onsite) is aimed at data analysts who wish to use VBA in Excel for automating tasks.
By the end of this training, participants will be able to:
- Record and edit macros as required.
- Write procedures using data from the sheet.
- Create your own functions.
- Handle an event (opening worksheet cell update etc.) by means of the handler.
- Create a form.
By the end of this training, participants will be able to:
- Record and edit macros as required.
- Write procedures using data from the sheet.
- Create your own functions.
- Handle an event (opening worksheet cell update etc.) by means of the handler.
- Create a form.
14 timer
The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
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This instructor-led, live training in Norge is based on the popular book, "Automate the Boring Stuff with Python", by Al Sweigart. It is aimed at beginners and covers essential Python programming concepts through practical, hands-on exercises and discussions. The focus is on learning to write code to dramatically increase office productivity.
By the end of this training, participants will know how to program in Python and apply this new skill for:
- Automating tasks by writing simple Python programs.
- Writing programs that can do text pattern recognition with "regular expressions".
- Programmatically generating and updating Excel spreadsheets.
- Parsing PDFs and Word documents.
- Crawling web sites and pulling information from online sources.
- Writing programs that send out email notifications.
- Use Python's debugging tools to quickly resolve bugs.
- Programmatically controlling the mouse and keyboard to click and type for you.
By the end of this training, participants will know how to program in Python and apply this new skill for:
- Automating tasks by writing simple Python programs.
- Writing programs that can do text pattern recognition with "regular expressions".
- Programmatically generating and updating Excel spreadsheets.
- Parsing PDFs and Word documents.
- Crawling web sites and pulling information from online sources.
- Writing programs that send out email notifications.
- Use Python's debugging tools to quickly resolve bugs.
- Programmatically controlling the mouse and keyboard to click and type for you.
14 timer
This instructor-led, live training in Norge (online or onsite) is aimed at web developers who wish to use the MERN Stack for fullstack development.
By the end of this training, participants will be able to:
- Integrate React with MongoDB, Express, and Node.js.
- Build a fullstack web application from scratch.
- Implement application security through authorization and authentication.
By the end of this training, participants will be able to:
- Integrate React with MongoDB, Express, and Node.js.
- Build a fullstack web application from scratch.
- Implement application security through authorization and authentication.
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In this instructor-led, live training in Norge, participants will learn the most relevant and cutting-edge machine learning techniques in Python as they build a series of demo applications involving image, music, text, and financial data.
By the end of this training, participants will be able to:
- Implement machine learning algorithms and techniques for solving complex problems.
- Apply deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
- Push Python algorithms to their maximum potential.
- Use libraries and packages such as NumPy and Theano.
By the end of this training, participants will be able to:
- Implement machine learning algorithms and techniques for solving complex problems.
- Apply deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
- Push Python algorithms to their maximum potential.
- Use libraries and packages such as NumPy and Theano.
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The objective of the course is to enable participants to gain a mastery of the fundamentals and usages of VBA for Access & Excel.
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Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
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In this instructor-led, live training in Norge, 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.
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.
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This instructor-led, live training in Norge (online or onsite) is aimed at data analysts who wish to build analytic applications using Python with Plotly and Dash.
By the end of this training, participants will be able to:
- Set up a real-time interactive dashboard for streaming live updating data.
- Build interactive dashboards using Python for data science solutions.
- Secure interactive dashboards with advanced authentication methods.
By the end of this training, participants will be able to:
- Set up a real-time interactive dashboard for streaming live updating data.
- Build interactive dashboards using Python for data science solutions.
- Secure interactive dashboards with advanced authentication methods.
28 timer
The aim of this course is to provide general proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
28 timer
This instructor-led, live training in Norge (online or onsite) is aimed at developers who wish to containerize their Java EE 8 applications and run them as microservices in the cloud.
By the end of this training, participants will be able to:
- Build and deploy Java microservices in Docker containers.
- Manage Docker containers using Kubernetes.
- Integrate microservices with an existing monolithic system.
- Monitor, test, and secure microservices.
- Troubleshoot containers and orchestration environments.
By the end of this training, participants will be able to:
- Build and deploy Java microservices in Docker containers.
- Manage Docker containers using Kubernetes.
- Integrate microservices with an existing monolithic system.
- Monitor, test, and secure microservices.
- Troubleshoot containers and orchestration environments.
28 timer
This course introduces linguists or programmers to NLP in Python. During this course we will mostly use nltk.org (Natural Language Tool Kit), but also we will use other libraries relevant and useful for NLP. At the moment we can conduct this course in Python 2.x or Python 3.x. Examples are in English or Mandarin (普通话). Other languages can be also made available if agreed before booking.
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Python is a programming language that has gained huge popularity in the financial industry. Adopted by the largest investment banks and hedge funds, it is being used to build a wide range of financial applications ranging from core trading programs to risk management systems.
In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems.
By the end of this training, participants will be able to:
- Understand the fundamentals of the Python programming language
- Download, install and maintain the best development tools for creating financial applications in Python
- Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
- Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
- Troubleshoot, integrate, deploy, and optimize a Python application
Audience
- Developers
- Analysts
- Quants
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems.
By the end of this training, participants will be able to:
- Understand the fundamentals of the Python programming language
- Download, install and maintain the best development tools for creating financial applications in Python
- Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
- Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
- Troubleshoot, integrate, deploy, and optimize a Python application
Audience
- Developers
- Analysts
- Quants
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
21 timer
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.
The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers.
This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.
The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers.
This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.
35 timer
This is a 5 day introduction to Data Science and Artificial Intelligence (AI).
The course is delivered with examples and exercises using Python
The course is delivered with examples and exercises using Python
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This is a 4 day course introducing AI and it's application using the Python programming language. There is an option to have an additional day to undertake an AI project on completion of this course.
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Deep Reinforcement Learning refers to the ability of an "artificial agent" to learn by trial-and-error and rewards-and-punishments. An artificial agent aims to emulate a human's ability to obtain and construct knowledge on its own, directly from raw inputs such as vision. To realize reinforcement learning, deep learning and neural networks are used. Reinforcement learning is different from machine learning and does not rely on supervised and unsupervised learning approaches.
In this instructor-led, live training, participants will learn the fundamentals of Deep Reinforcement Learning as they step through the creation of a Deep Learning Agent.
By the end of this training, participants will be able to:
- Understand the key concepts behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning
- Apply advanced Reinforcement Learning algorithms to solve real-world problems
- Build a Deep Learning Agent
Audience
- Developers
- Data Scientists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn the fundamentals of Deep Reinforcement Learning as they step through the creation of a Deep Learning Agent.
By the end of this training, participants will be able to:
- Understand the key concepts behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning
- Apply advanced Reinforcement Learning algorithms to solve real-world problems
- Build a Deep Learning Agent
Audience
- Developers
- Data Scientists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
14 timer
In this instructor-led, live training in Norge participants combine the power of Python with Selenium to automate the testing of a sample web application. By combining theory with practice in a live lab environment, participants will gain the knowledge and practice needed to automate their own web testing projects using Python and Selenium.
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Rådgivning
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