Lokale, instruierte Live-Kurse zur Computerprogrammierung demonstrieren durch interaktives Handson die Grundlagen und fortgeschrittenen Themen des Programmierens Programmiertraining ist als "Live-Training vor Ort" oder "Fern-Live-Training" verfügbar Onsite Live Training kann vor Ort bei Kunden durchgeführt werden Deutschland oder in NobleProg Corporate Trainingszentren in Deutschland Remote-Live-Training wird über einen interaktiven Remote-Desktop durchgeführt NobleProg Ihr lokaler Trainingsanbieter.
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Erfahrungsberichte
Ich mochte die Beispiele und die Art, wie er erklärte.
Sandeep Parashar
Kurs: VBA For Access & Excel
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Der Erklärungsweg und einschließlich Tipps zu den Best Practices in VBA / Access, ermutigen durch Übung, selbst mehr darüber nachzudenken, wie wir das Problem lösen können, anstatt fertige Lösungen zu geben.
Daria Rudin
Kurs: VBA For Access & Excel
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Tamil war außerordentlich geduldig und sehr hilfsbereit bei der Suche nach Lösungen für reale Bedürfnisse. Er war auch sehr ehrlich, wenn er etwas von seinem Kopf wusste, was es uns ermöglichte, im Training schnell weiterzuspringen und wir keine Zeit verloren.
Christine Weiler
Kurs: VBA For Access & Excel
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Mir hat gefallen, dass es viele Übungen gab, Re Aktivität und Flexibilität des Trainers.
Badii Bayoudh
Kurs: Java Spring
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Es hat mir gefallen, dass ich während der Übungen die Möglichkeit hatte, mit Code zu spielen (nicht nur das Programmieren, was der Trainer vorbereitet hat).
PITERION GmbH
Kurs: Java Spring
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Trainerwissen über die Sache. Übungen während des Trainings. Trainer war absolut freundlich und zugänglich.
Jorge Peinado Prado
Kurs: Apache Tomcat and Java EE Administration
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Die Trainer haben ein tiefes Verständnis für das Thema.
Andrew Gorham
Kurs: Apache Tomcat and Java EE Administration
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Ich mochte die Art, Kurse zu leiten und Übungen zu machen. Die ideale Trennung von Theorie und Praxis. Ein großer Pluspunkt war die sachliche Übersetzung von Mehrdeutigkeit und das Beantworten jeder Frage
Izabela Blezień
Kurs: Building Web Apps using the MEAN stack
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Die Interaktion und Begeisterung, die er über das Training hatte.
Richard Burgos
Kurs: Design Patterns in PHP
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Der neue Inhalt, den ich gelernt habe.
Victor Cayetano
Kurs: Design Patterns in PHP
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Ich war meistens von der Übung profitieren.
Jason Wu
Kurs: Design Patterns in PHP
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Ich mag die Unterstützung des Trainers und der Themen. Ich kam mit einer Denkweise herein und dachte, das wäre nichts Neues, was ich nicht getan habe. Aber ich war überrascht von dem, was ich in diesem Kurs alles gelernt habe. Vielen Dank.
Jorgen Ordonez
Kurs: Design Patterns in PHP
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Es ist gut, nach den Vorträgen praktische Übungen zu machen.
bonnie lee
Kurs: AngularJS Good Practices
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Ich mochte die Codebeispiele und die Ausarbeitung.
Antony Ho
Kurs: AngularJS Good Practices
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alle
Rafał Dąbrowski
Kurs: Javascript And Ajax
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Der Trainer konzentrierte sich auf die Anforderungen jedes einzelnen Teilnehmers und stimmte das Material auf unsere Ziele ab.
Daniel Watkins
Kurs: Visual Studio with VB.Net
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Am meisten mochte ich die ganzen Code-Beispiele.
Kurs: Node.js for JavaScript Developers
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Die Codeübungen waren gut und ansprechend.
Kurs: Node.js for JavaScript Developers
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Ich war von der Hands-on profitieren. Viel Hilfe. Viel Platz für Fragen und Antworten.
Abdul Zaheer
Kurs: Node.js for JavaScript Developers
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Ich mochte es sehr, die Connect Middleware zu erstellen.
Kurs: Node.js for JavaScript Developers
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Beispiele waren miteinander vergleichbar.
Yongching Tee
Kurs: Node.js for JavaScript Developers
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Ich fühlte, dass es die richtige Mischung aus Vorlesung und praktischer Anwendung war.
David Jaggie
Kurs: Node.js for JavaScript Developers
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Ich bevorzuge die Übung und lerne etwas über die Ecken und Winkel von Python
Connor Brierley-Green
Kurs: Python Programming
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Joey hat eine ansteckende Begeisterung für das Programmieren. Und er war sehr gut darin, sich spontan auf unsere Bedürfnisse und Interessen einzustellen.
Randy Enkin
Kurs: Python Programming
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Viele Beispiele haben mich leicht verständlich gemacht.
Lingmin Cao
Kurs: Python Programming
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Beispiele und Übungen, durchsetzt mit Theorie, alles gut portioniert
Paweł Wiśniewski
Kurs: Perl Programming
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Individuelle Ansprache der Schulungsteilnehmer
Łukasz Kamiński
Kurs: Perl Programming
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Ich mag das Doctrine-Konzept in Symfony das vom Trainer übernommen wurde. Der Trainer ist energischer und macht die Sitzungen interaktiver. Ich denke, es ist eine großartige Fähigkeit des Trainers
Kumaran Chandran
Kurs: Web Development with Symfony3
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Ich mochte die Kommunikation und das Wissen des Trainers in Symfony 3 und den damit verbundenen Technologien. Er hatte sich genügend Mühe gegeben, um mit einigen Beispielen in den jeweiligen Themen zu unterrichten und zu demonstrieren. Ich kann sagen, dass mein symfony Wissen und Selbstvertrauen nach diesem Training gestiegen ist.
Hari Kumar
Kurs: Web Development with Symfony3
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Abhinav hat eine ausgezeichnete Arbeit geleistet! Innerhalb von vier Tagen behandelte er alle wichtigen Konzepte, die in der REAL Softwareentwicklung verwendet werden. Ich bin so dankbar, ihn als unseren Trainer zu haben!
Vijay Joseph
Kurs: Web Development with Symfony3
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Art und Wissen des Lehrers.
Małgorzata Kręglewska-Stolarska
Kurs: Programowanie w ASP.NET MVC 5
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Ich habe die Übungen am meisten genossen.
Anna Szumniak
Kurs: Visual Basic for Applications (VBA) in Excel - Introduction to programming
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Die Trainingsagenda war gut durchdacht.
Przemek Zalasinski
Kurs: Visual Basic for Applications (VBA) in Excel - Introduction to programming
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Ich genoss wirklich die kurzen Übungen.
Mateusz Podsiadlo
Kurs: Visual Basic for Applications (VBA) in Excel - Introduction to programming
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Die umfassende Kenntnis des Leitfadens zu all unseren Fragen gab Antworten, die meine Erwartungen übertrafen ... Der Dozent führt großartige Diskussionen ... Ihm fehlt es nicht an Geduld ...
Łukasz Matulewicz
Kurs: Programowanie w języku Python
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Große Kenntnisse des Dozenten, Vielfalt der Werkzeuge und praktische Herangehensweise an das Thema
Magdalena Stupak
Kurs: Programowanie w języku Python
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großes Wissen des Trainers, wie man übersetzt
Renata Cylejowska
Kurs: Programowanie w języku Python
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Art der Durchführung
HSBC Service Delivery (Polska) Sp. z o.o.
Kurs: Programowanie w języku C++
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C++ Probleme wurden von den Schulungsteilnehmern sofort auf Computern implementiert.
Paweł Musiał
Kurs: Programowanie w języku C++
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Organisation von Wissen über Angulars
Kacper Pawłowski
Kurs: Angular JavaScript
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Lehrveranstaltungen
Iwona Opałka
Kurs: Angular JavaScript
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Annäherung an den Teilnehmer
Alan Łukowski
Kurs: Angular JavaScript
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Offenheit des Vortragenden, Wissen
Krzysztof Dałek
Kurs: Angular JavaScript
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Am meisten mochte ich die ganzen Code-Beispiele.
Kurs: Node.js for JavaScript Developers
Machine Translated
Die Codeübungen waren gut und ansprechend.
Kurs: Node.js for JavaScript Developers
Machine Translated
Ich mochte es sehr, die Connect Middleware zu erstellen.
Kurs: Node.js for JavaScript Developers
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Programmierung Kurspläne
Name des Kurses
Dauer
Überblick
Name des Kurses
Dauer
Überblick
21 Stunden
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 Stunden
In diesem Kurs können Sie die Programmiersprache Python erlernen. Der Schwerpunkt des Kurses liegt dabei auf den Grundlagen der Sprache und zentralen Programmbibliotheken. Der Kurs besteht zur Hälfte aus Theorie, zur Hälfte aus praktischen Übungen. Er ist sowohl für Programmierer als auch Nichtprogrammierer geeignet.
14 Stunden
JavaScript is a programming language designed for manipulating a web page.
28 Stunden
In this instructor-led, live training in Deutschland, 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 Stunden
In this instructor-led, live training in Deutschland, 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 Stunden
Der Kurs enthüllt die Geheimnisse des effektiven Schreibens fortgeschrittener Anwendungen in der VBA Anwendung Ms Excel .
Nach dem Kurs können Sie:
- Schreiben Sie eine erweiterte objektorientierte Anwendung
- Konvertieren Sie Textdateien
- Verwendung externer Datenquellen
- Verwenden Sie externe Bibliotheken
Nach dem Kurs können Sie:
- Schreiben Sie eine erweiterte objektorientierte Anwendung
- Konvertieren Sie Textdateien
- Verwendung externer Datenquellen
- Verwenden Sie externe Bibliotheken
14 Stunden
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 Stunden
Es ist eine Einführung in die prozedurale Programmierung in VBA . Durch Schulungen erhalten Sie eine solide Grundlage für weiteres Lernen und eine VBA Umgebung.
Nach dem Kurs können Sie:
- Zeichnen Sie das Makro nach Bedarf auf und bearbeiten Sie es.
- Schreiben Sie Prozeduren mit Daten aus dem Blatt,
- Erstellen Sie Ihre eigenen Funktionen
- Behandeln Sie das Ereignis (Öffnen der Arbeitsblatt-Zellenaktualisierung usw.) mithilfe des Handlers.
- Formular erstellen
Nach dem Kurs können Sie:
- Zeichnen Sie das Makro nach Bedarf auf und bearbeiten Sie es.
- Schreiben Sie Prozeduren mit Daten aus dem Blatt,
- Erstellen Sie Ihre eigenen Funktionen
- Behandeln Sie das Ereignis (Öffnen der Arbeitsblatt-Zellenaktualisierung usw.) mithilfe des Handlers.
- Formular erstellen
35 Stunden
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 Stunden
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 Stunden
This instructor-led, live training in Deutschland 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 Stunden
In this instructor-led, live training in Deutschland, 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 Stunden
The objective of the course is to enable participants to gain a mastery of the fundamentals and usages of VBA for Access & Excel.
14 Stunden
Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
21 Stunden
In this instructor-led, live training in Deutschland, 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 Stunden
This instructor-led, live training in Deutschland (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 Stunden
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 Stunden
This instructor-led, live training in Deutschland (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 Stunden
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 Stunden
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 Stunden
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 Stunden
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 Stunden
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 Stunden
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 Stunden
In this instructor-led, live training in Deutschland 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 Stunden
In this instructor-led, live training in Deutschland (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 Stunden
In this instructor-led, live training in Deutschland, 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 Stunden
This instructor-led, live training in Deutschland 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 Stunden
This instructor-led, live training in Deutschland (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.
14 Stunden
This instructor-led, live training in Deutschland (online or onsite) is aimed at Matlab users who wish to explore and or transition to Python for data analytics and visualization.
By the end of this training, participants will be able to:
- Install and configure a Python development environment.
- Understand the differences and similarities between Matlab and Python syntax.
- Use Python to obtain insights from various datasets.
- Convert existing Matlab applications to Python.
- Integrate Matlab and Python applications.
By the end of this training, participants will be able to:
- Install and configure a Python development environment.
- Understand the differences and similarities between Matlab and Python syntax.
- Use Python to obtain insights from various datasets.
- Convert existing Matlab applications to Python.
- Integrate Matlab and Python applications.
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