Des cours de formation en programmation informatique en direct, organisés en local, démontrent, par le biais de la pratique interactive, les principes fondamentaux et les sujets avancés de la programmation La formation en programmation est disponible sous forme de «formation en direct sur site» ou de «formation en direct à distance» La formation en direct sur site peut être effectuée localement dans les locaux du client Quebec ou dans les centres de formation d'entreprise NobleProg à Quebec La formation en ligne à distance est réalisée au moyen d'un ordinateur de bureau interactif et distant NobleProg Votre fournisseur de formation local.
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Nos Clients témoignent
Les exercices pratiques en relation avec le contexte
Guillaume Martens
Formation: Web Development with Symfony3
Assistance personnelle lorsque j'avais des problèmes techniques :)
Elena Rouvier
Formation: Web Development with Symfony3
l'humour, disponabilité pour répondre à d'autre types de questions
koen depoorter
Formation: Web Development with Symfony3
L'interaction et l'enthousiasme qu'il a eu avec la formation.
Richard Burgos
Formation: Design Patterns in PHP
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Le nouveau contenu que j'ai appris
Victor Cayetano
Formation: Design Patterns in PHP
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J'ai surtout profité de l'exercice.
Jason Wu
Formation: Design Patterns in PHP
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J'aime le soutien du formateur et les sujets. Je suis arrivé avec un état d'esprit en pensant que ce ne serait rien de nouveau que je n'ai pas fait. Mais j'ai été surpris de tout ce que j'ai appris tout au long de ce cours. Je vous remercie.
Jorgen Ordonez
Formation: Design Patterns in PHP
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J'ai préféré l'exercice et apprendre les coins et recoins de Python
Connor Brierley-Green
Formation: Python Programming
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Joey a un enthousiasme contagieux pour la programmation. Et il était très bien adapté à nos besoins et intérêts à la volée.
Randy Enkin
Formation: Python Programming
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De nombreux exemples m'ont rendu facile à comprendre.
Lingmin Cao
Formation: Python Programming
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J'ai apprécié le fait que grâce à cette formation, Joey était capable de couvrir différents niveaux de connaissances et il a rendu ce cours très intéressant et compréhensible pour les débutants et les développeurs plus expérimentés.
Tetyana Myronova
Formation: Node.js for JavaScript Developers
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Joey était génial et a vraiment adapté la formation à nos besoins et au niveau de compétence du public.
Alain Lormil
Formation: Node.js for JavaScript Developers
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J'ai aimé la façon de diriger les cours et d'effectuer des exercices. La division idéale de la théorie et de la pratique. Un gros avantage était la traduction factuelle de l'ambiguïté et de répondre à chaque question
Izabela Blezień
Formation: Building Web Apps using the MEAN stack
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J'ai aimé les exemples et la façon dont il a expliqué.
Sandeep Parashar
Formation: VBA For Access & Excel
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La manière d'expliquer et d'inclure des conseils sur les meilleures pratiques de VBA / Access, encourageant par l'exercice à réfléchir davantage sur la façon de résoudre le problème plutôt que de fournir des solutions prêtes.
Daria Rudin
Formation: VBA For Access & Excel
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Tamil était exceptionnellement patient et très utile pour trouver des solutions aux besoins réels. Il était également très honnête à propos de savoir s'il ne connaissait pas quelque chose du haut de sa tête, ce qui nous a permis de prendre rapidement part à l'entraînement et nous n'avons pas perdu de temps.
Christine Weiler
Formation: VBA For Access & Excel
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Il est bon d'avoir des exercices pratiques après les cours.
bonnie lee
Formation: AngularJS Good Practices
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J'ai aimé les exemples de code et l'élaboration.
Antony Ho
Formation: AngularJS Good Practices
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tous
Rafał Dąbrowski
Formation: Javascript And Ajax
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Le formateur s'est concentré sur les exigences de chaque personne pour le cours et a réglé le matériel en fonction de nos objectifs.
Daniel Watkins
Formation: Visual Studio with VB.Net
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J'ai surtout aimé tous les exemples de code.
Formation: Node.js for JavaScript Developers
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Les exercices de code étaient bons et engageants.
Formation: Node.js for JavaScript Developers
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J'ai profité de la pratique. Beaucoup d'aide Beaucoup d'espace pour poser des questions et obtenir des réponses.
Abdul Zaheer
Formation: Node.js for JavaScript Developers
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J'ai vraiment aimé créer le middleware Connect.
Formation: Node.js for JavaScript Developers
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Les exemples étaient pertinents.
Yongching Tee
Formation: Node.js for JavaScript Developers
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Je pensais que c'était le bon mélange de lecture et d'application pratique.
David Jaggie
Formation: Node.js for JavaScript Developers
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Exemples et exercices entrecoupés de théorie, tous bien proportionnés
Paweł Wiśniewski
Formation: Perl Programming
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Approche individuelle pour former les participants
Łukasz Kamiński
Formation: Perl Programming
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J'aime le concept de Doctrine à Symfony pris par le formateur. Le formateur est plus énergique et rend les sessions plus interactives. Je pense que c'est une grande capacité de l'entraîneur
Kumaran Chandran
Formation: Web Development with Symfony3
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J'ai aimé la communication et les connaissances du formateur sur Symfony 3 et les technologies associées. Il avait pris suffisamment d’efforts pour enseigner et démontrer avec quelques exemples dans les sujets respectifs. Je peux dire que mes connaissances et mon niveau de confiance en symfony ont augmenté après cette formation.
Hari Kumar
Formation: Web Development with Symfony3
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Abhinav a fait un excellent travail! En quatre jours, il a couvert tous les concepts importants utilisés dans le développement de logiciels REAL. Je suis tellement reconnaissant de l'avoir comme formateur!
Vijay Joseph
Formation: Web Development with Symfony3
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Manière et la connaissance de l'enseignant.
Małgorzata Kręglewska-Stolarska
Formation: Programowanie w ASP.NET MVC 5
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J'ai surtout apprécié les exercices.
Anna Szumniak
Formation: Visual Basic for Applications (VBA) in Excel - Introduction to programming
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Le programme de formation a été bien pensé.
Przemek Zalasinski
Formation: Visual Basic for Applications (VBA) in Excel - Introduction to programming
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J'ai vraiment apprécié les petits exercices.
Mateusz Podsiadlo
Formation: Visual Basic for Applications (VBA) in Excel - Introduction to programming
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La connaissance approfondie du guide à toutes nos questions a donné des réponses écrasantes à mes attentes ... Le conférencier mène de belles discussions ... Il ne manque pas de patience ... Łuk
Łukasz Matulewicz
Formation: Programowanie w języku Python
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Grande connaissance du conférencier, diversité des outils et approche pratique du sujet
Magdalena Stupak
Formation: Programowanie w języku Python
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bonne connaissance du formateur, comment traduire
Renata Cylejowska
Formation: Programowanie w języku Python
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J'ai surtout aimé tous les exemples de code.
Formation: Node.js for JavaScript Developers
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Les exercices de code étaient bons et engageants.
Formation: Node.js for JavaScript Developers
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J'ai vraiment aimé créer le middleware Connect.
Formation: Node.js for JavaScript Developers
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Plans de cours Programmation
Nom du Cours
Durée
Aperçu
Nom du Cours
Durée
Aperçu
21 hours
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 hours
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.
14 hours
JavaScript is a programming language designed for manipulating a web page.
28 hours
In this instructor-led, live training in Quebec, 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.
21 hours
In this instructor-led, live training in Quebec, 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.
14 hours
This instructor-led, live training in Quebec (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
14 hours
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 hours
This instructor-led, live training in Quebec (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.
35 hours
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.
14 hours
This instructor-led, live training in Quebec (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 hours
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.
14 hours
This instructor-led, live training in Quebec 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.
21 hours
In this instructor-led, live training in Quebec, 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.
21 hours
The objective of the course is to enable participants to gain a mastery of the fundamentals and usages of VBA for Access & Excel.
14 hours
Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
21 hours
In this instructor-led, live training in Quebec, 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.
14 hours
This instructor-led, live training in Quebec (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 hours
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 hours
This instructor-led, live training in Quebec (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 hours
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.
35 hours
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 hours
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 hours
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
28 hours
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.
21 hours
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 hours
In this instructor-led, live training in Quebec 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.
14 hours
In this instructor-led, live training in Quebec (onsite or remote), participants will learn how to combine the capabilities of Python and Excel.
By the end of this training, participants will be able to:
- Install and configure packages for integrating Python and Excel.
- Read, write, and manipulate Excel files using Python.
- Call Python functions from Excel.
By the end of this training, participants will be able to:
- Install and configure packages for integrating Python and Excel.
- Read, write, and manipulate Excel files using Python.
- Call Python functions from Excel.
14 hours
In this instructor-led, live training in Quebec, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
7 hours
This instructor-led, live training in Quebec begins with a discussion of BDD and how the Behave framework can be used to carry out BDD testing for web applications. Participants are given ample opportunity to interact with the instructor and peers while implementing the concepts and tactics learned in this hands-on, practice-based lab environment.
By the end of this training, participants will have a firm understanding of BDD and Behave, as well as the necessary practice to implement these techniques and tools in real-world test scenarios.
By the end of this training, participants will have a firm understanding of BDD and Behave, as well as the necessary practice to implement these techniques and tools in real-world test scenarios.
21 hours
This instructor-led, live training in Quebec (online or onsite) is aimed at persons who wish to program a visually attractive software application using Python and the Qt UI framework.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed libraries, packages and frameworks.
- Create a desktop or server application whose user interface functions smoothly and is visually appealing.
- Implement various UI elements and effects, including widgets, charts, layers, etc. to achieve maximum effect in usability.
- Implement good UI design and code organization during the design and development phase.
- Test and debug the application.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed libraries, packages and frameworks.
- Create a desktop or server application whose user interface functions smoothly and is visually appealing.
- Implement various UI elements and effects, including widgets, charts, layers, etc. to achieve maximum effect in usability.
- Implement good UI design and code organization during the design and development phase.
- Test and debug the application.
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