由讲师进行实时指导的编程本地培训课程通过交互式动手实践演示程序设计的基本原理和高级主题。
编程培训形式包括“现场实时培训”和“远程实时培训”。现场实时培训可在客户位于中国的所在场所或NobleProg位于中国的企业培训中心进行，远程实时培训可通过交互式远程桌面进行。
NobleProg -- 您的本地培训提供商
客户评论
我喜欢举办课堂和演习的方式。理论和实践的理想分工。一个很大的好处是模糊不清的事实翻译和回答每个问题。
Izabela Blezień
课程: Building Web Apps using the MEAN stack
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他对培训的互动和热情。
Richard Burgos
课程: Design Patterns in PHP
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我学到的新内容。
Victor Cayetano
课程: Design Patterns in PHP
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我大部分时间都受益于这项运动。
Jason Wu
课程: Design Patterns in PHP
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我喜欢培训师和主题的支持。我带着一种思维方式进来，认为这不是什么新鲜事，我还没有做过。但是我对在整个课程中学到的东西感到惊讶。谢谢。
Jorgen Ordonez
课程: Design Patterns in PHP
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我喜欢这些例子和他解释的方式。
Sandeep Parashar
课程: VBA For Access & Excel
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解释方式，包括有关VBA / Access最佳实践的提示，鼓励通过练习自己思考如何解决问题而不是提供现成的解决方案。
Daria Rudin
课程: VBA For Access & Excel
Machine Translated
泰米尔人非常耐心，非常有助于找出满足实际需求的解决方案。他也非常诚实地说，如果他从头顶不知道什么，这使我们能够在训练中迅速跳起来，我们没有浪费时间。
Christine Weiler
课程: VBA For Access & Excel
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讲课后进行动手练习是很好的。
bonnie lee
课程: AngularJS Good Practices
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我喜欢代码示例和详细说明。
Antony Ho
课程: AngularJS Good Practices
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所有
Rafał Dąbrowski
课程: Javascript And Ajax
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培训师关注每个人对课程的要求，并根据我们的目标调整材料。
Daniel Watkins
课程: Visual Studio with VB.Net
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我大多喜欢所有的代码示例。
课程: Node.js for JavaScript Developers
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代码练习很好，很有吸引力。
课程: Node.js for JavaScript Developers
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我受益于动手实践。很多帮助。有很多空间可以提问和获得答案。
Abdul Zaheer
课程: Node.js for JavaScript Developers
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我真的很喜欢创建Connect中间件。
课程: Node.js for JavaScript Developers
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例子是相关的。
Yongching Tee
课程: Node.js for JavaScript Developers
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我觉得这是讲座和实际应用的正确组合。
David Jaggie
课程: Node.js for JavaScript Developers
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我喜欢练习和学习Python的角落和缝隙
Connor Brierley-Green
课程: Python Programming
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乔伊对编程充满热情。他非常擅长动态适应我们的需求和兴趣。
Randy Enkin
课程: Python Programming
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许多例子让我很容易理解。
Lingmin Cao
课程: Python Programming
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与理论交织在一起的例子和练习，一切都很好。
Paweł Wiśniewski
课程: Perl Programming
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培训参与者的个人方法
Łukasz Kamiński
课程: Perl Programming
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我喜欢训练师采用的Symfony的Doctrine概念。培训师更有活力，使会议更具互动性。我认为培训师的能力很强
Kumaran Chandran
课程: Web Development with Symfony3
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我喜欢教练在Symfony 3和相关技术方面的沟通和知识。他已经采取了足够的努力来教授和展示相应主题中的一些例子。我可以说在培训结束后我的symfony知识和信心水平上升了。
Hari Kumar
课程: Web Development with Symfony3
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阿比纳夫做得很棒！在四天之内，他涵盖了REAL软件开发中使用的所有重要概念。我非常感谢他作为我们的教练！
Vijay Joseph
课程: Web Development with Symfony3
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方式和老师的知识。 Kr
Małgorzata Kręglewska-Stolarska
课程: Programowanie w ASP.NET MVC 5
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我大多喜欢这些练习。
Anna Szumniak
课程: Visual Basic for Applications (VBA) in Excel - Introduction to programming
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培训议程经过深思熟虑。
Przemek Zalasinski
课程: Visual Basic for Applications (VBA) in Excel - Introduction to programming
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我真的很喜欢短暂的练习。
Mateusz Podsiadlo
课程: Visual Basic for Applications (VBA) in Excel - Introduction to programming
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对我们所有问题的指导的全面知识给我的期望提供了答案......讲师进行了很好的讨论......他并不缺乏耐心......
Łukasz Matulewicz
课程: Programowanie w języku Python
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对讲师的丰富知识，工具的多样性以及对该主题的实用方法。
Magdalena Stupak
课程: Programowanie w języku Python
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对培训师很了解，如何翻译。
Renata Cylejowska
课程: Programowanie w języku Python
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进行的方式
HSBC Service Delivery (Polska) Sp. z o.o.
课程: Programowanie w języku C++
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培训参与者立即在计算机上实现了C++问题。
Paweł Musiał
课程: Programowanie w języku C++
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组织有关angulars的知识 Paw
Kacper Pawłowski
课程: Angular JavaScript
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举办课程Iwon
Iwona Opałka
课程: Angular JavaScript
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接近参与者 Ł
Alan Łukowski
课程: Angular JavaScript
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讲师的开放性，知识 Dałe
Krzysztof Dałek
课程: Angular JavaScript
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与老师互动，有机会提问热门问题。
Grzegorz Ziegert
课程: Administration with Powershell
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大量的信息
Piotr Janicki
课程: Visual Basic for Applications (VBA) w Excel - wstęp do programowania
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定期解决问题。为培训者寻找最有用的元素..
Dominik Gardo
课程: Visual Basic for Applications (VBA) w Excel - wstęp do programowania
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认真对待定制的事实。
jurgen linsen
课程: Python Programming
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培训师帮助解决问题。
Tomasz Czornak
课程: Visual Basic for Applications (VBA) w Excel - poziom zaawansowany
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在Excel中进行实况演练，并培训师的知识。
Perceval Pradelle
课程: Visual Basic for Applications (VBA) w Excel - poziom zaawansowany
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练习，安装和使用培训所需的衍生组件（mysql，tomcat等）
Grzegorz Winiarski
课程: Programowanie w języku Java
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沟通的方式，简单易懂的语言，翻译的效果。
Agata Wodecka-Barejko
课程: Programowanie w języku Java
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因为我是唯一的参与者，培训可以适应我的需求。
Kevin THIERRY
课程: Web Development with Web2Py
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与培训师沟通愿意回答问题。
Michał Rajkowski
课程: Administracja serwerem GlassFish
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他非常好的知识和经验。
Jérémy Coppe
课程: Java Programming
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我大多喜欢所有的代码示例。
课程: Node.js for JavaScript Developers
Machine Translated
代码练习很好，很有吸引力。
课程: Node.js for JavaScript Developers
Machine Translated
我真的很喜欢创建Connect中间件。
课程: Node.js for JavaScript Developers
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编程课程大纲
课程名称
课程时长
课程概览
课程名称
课程时长
课程概览
21小时
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小时
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.
28小时
在这一由讲师引导的培训中，参与者将学习高级Python编程技术，包括如何将这种多功能语言应用于解决分布式应用、财务、数据分析和可视化、UI编程及维护脚本等领域的问题。
受众
- 开发人员
课程形式
- 部分讲座、部分讨论、练习和大量实操
注意事项
- 如果您想添加、移除或自定义本课程中的任一部分或主题，请联系我们以作安排。
受众
- 开发人员
课程形式
- 部分讲座、部分讨论、练习和大量实操
注意事项
- 如果您想添加、移除或自定义本课程中的任一部分或主题，请联系我们以作安排。
21小时
In this instructor-led, live training in 中国, 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小时
This instructor-led, live training in 中国 (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小时
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小时
This instructor-led, live training in 中国 (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小时
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小时
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小时
这一由讲师引导的培训是基于Al Sweigart所著的知名书籍——“用Python自动化枯燥的事物（Automate the Boring Stuff with Python）”。它针对初学者，通过实际操作练习和讨论涵盖了Python编程的基本概念。重点在于学习编写代码以显着提高办公效率。
在本次培训结束后，参与者将知道如何用Python进行编程，并将这项新技能应用于：
- 通过编写简单的Python程序来自动执行任务。
- 编写可以使用“正则表达式”进行文本模式识别的程序。
- 以编程方式生成和更新Excel电子表格。
- 解析PDF和Word文档。
- 抓取网站，并从线上来源提取信息。
- 编写发送电子邮件通知的程序。
- 使用Python的调试工具来快速解决错误。
- 以编程方式控制鼠标和键盘，以执行点击和输入。
受众
- 希望学习用Python编程的非程序员
- 希望优化办公效率的专业人士和公司团队
- 希望自动化繁琐程序和工作流程的经理
课程形式
- 部分讲座、部分讨论、练习和大量实操
在本次培训结束后，参与者将知道如何用Python进行编程，并将这项新技能应用于：
- 通过编写简单的Python程序来自动执行任务。
- 编写可以使用“正则表达式”进行文本模式识别的程序。
- 以编程方式生成和更新Excel电子表格。
- 解析PDF和Word文档。
- 抓取网站，并从线上来源提取信息。
- 编写发送电子邮件通知的程序。
- 使用Python的调试工具来快速解决错误。
- 以编程方式控制鼠标和键盘，以执行点击和输入。
受众
- 希望学习用Python编程的非程序员
- 希望优化办公效率的专业人士和公司团队
- 希望自动化繁琐程序和工作流程的经理
课程形式
- 部分讲座、部分讨论、练习和大量实操
21小时
在这一由讲师引导的现场培训中，参与者将学习Python中最相关及最尖端的机器学习技术，因为它们构建了一系列涉及图像、音乐、文本和财务数据的演示应用程序。
在本次培训结束后，参与者将能够：
- 运用用于解决复杂问题的机器学习算法和技术
- 将深度学习和半监督学习应用于涉及图像、音乐、文本和财务数据的应用程序
- 推动Python算法达到其最大潜力
- 使用例如NumPy和Theano的库和包
受众
- 开发人员
- 分析师
- 数据科学家
课程形式
- 部分讲座、部分讨论、练习和大量实操
在本次培训结束后，参与者将能够：
- 运用用于解决复杂问题的机器学习算法和技术
- 将深度学习和半监督学习应用于涉及图像、音乐、文本和财务数据的应用程序
- 推动Python算法达到其最大潜力
- 使用例如NumPy和Theano的库和包
受众
- 开发人员
- 分析师
- 数据科学家
课程形式
- 部分讲座、部分讨论、练习和大量实操
21小时
The objective of the course is to enable participants to gain a mastery of the fundamentals and usages of VBA for Access & Excel.
14小时
Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
21小时
In this instructor-led, live training in 中国, 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小时
This instructor-led, live training in 中国 (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小时
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小时
This instructor-led, live training in 中国 (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小时
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小时
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小时
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小时
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小时
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小时
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小时
In this instructor-led, live training in 中国 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小时
In this instructor-led, live training in 中国 (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小时
In this instructor-led, live training in 中国, 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小时
Behave是一个开源的、基于Python的BDD框架，用于以自然语言风格编写测试。
BDD（行为驱动开发）是一种敏捷软件开发技术，鼓励开发人员、QA和非技术业务人员在软件项目中进行协作。
本培训讲首先讨论BDD，以及Behave框架如何用于Web应用程序的BDD测试。学员将有充足的机会与讲师和其他学员进行交流，并在实验室环境中开展动手练习，运用所学的概念和策略。
在本次培训结束后，学员将对BDD和Behave有一个明确的理解，并获得在实际测试场景中使用这些技术和工具的必要实践。
受众
- 测试人员和开发人员
课程形式
- 重视实操。大部分概念是通过示例、练习和动手开发学到的。
BDD（行为驱动开发）是一种敏捷软件开发技术，鼓励开发人员、QA和非技术业务人员在软件项目中进行协作。
本培训讲首先讨论BDD，以及Behave框架如何用于Web应用程序的BDD测试。学员将有充足的机会与讲师和其他学员进行交流，并在实验室环境中开展动手练习，运用所学的概念和策略。
在本次培训结束后，学员将对BDD和Behave有一个明确的理解，并获得在实际测试场景中使用这些技术和工具的必要实践。
受众
- 测试人员和开发人员
课程形式
- 重视实操。大部分概念是通过示例、练习和动手开发学到的。
21小时
PyQt 是一个跨平台库, 用于为 Python 应用程序开发 Gui (图形用户界面)。它将 Python 与 Qt GUI 工具包接口.
本教师指导的现场培训 (现场或远程) 针对的是希望使用 Python 和 Qt UI 框架对具有视觉吸引力的软件应用程序进行编程的人
。
到本次培训结束时, 学员将能够:
- 设置包含所有所需库、包和框架的开发环境。
- 创建一个桌面或服务器应用程序, 其用户界面功能流畅且具有视觉吸引力.
- 实现各种 UI 元素和效果, 包括小部件、图表、图层等, 以实现最大的可用性效果。
- 在设计和开发阶段实施良好的 UI 设计和代码组织。
- 测试和调试应用程序。
课程 格式
- 互动讲座和讨论.
- 大量的练习和练习
- 在现场实验室环境中的实际实现。
课程自定义选项
- 本课程可用于在 Windows、Linux 和 Mac OS 上进行开发.
- 使用所有软件的最新版本, 例如, 本文撰写时的 PyQt 5 等
- 要要求本课程的定制培训, 请联系我们安排
本教师指导的现场培训 (现场或远程) 针对的是希望使用 Python 和 Qt UI 框架对具有视觉吸引力的软件应用程序进行编程的人
。
到本次培训结束时, 学员将能够:
- 设置包含所有所需库、包和框架的开发环境。
- 创建一个桌面或服务器应用程序, 其用户界面功能流畅且具有视觉吸引力.
- 实现各种 UI 元素和效果, 包括小部件、图表、图层等, 以实现最大的可用性效果。
- 在设计和开发阶段实施良好的 UI 设计和代码组织。
- 测试和调试应用程序。
课程 格式
- 互动讲座和讨论.
- 大量的练习和练习
- 在现场实验室环境中的实际实现。
课程自定义选项
- 本课程可用于在 Windows、Linux 和 Mac OS 上进行开发.
- 使用所有软件的最新版本, 例如, 本文撰写时的 PyQt 5 等
- 要要求本课程的定制培训, 请联系我们安排
14小时
This instructor-led, live training in 中国 (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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