Web Development with Django Training Course

This instructor-led, live training in Finland (online or onsite) is aimed at developers who wish to use the advanced features of Django to create large-scale and secure web apps faster with less code.

By the end of this training, participants will be able to:

• Set up the necessary development environment to start developing web apps with Django.
• Get to know the advanced features in Django and how to implement them.
• Optimize the code using class-based views to build apps more efficiently.
• Enable and configure the messages framework in Django.
• Use the signals feature in Django to interact with decoupled applications.

This instructor-led, live training in Finland (online or onsite) is aimed at sysadmins who wish to set up, deploy and manage a Python-based enterprise-grade CMS (content management system).

By the end of this training, participants will be able to:

• Install and configure a production-grade Django CMS website.
• Define user roles and permissions.
• Configure database and perform maintenance operations.
• Secure, monitor, optimize, and troubleshoot a live Django CMS system.
• Peform administration tasks, including backup, restore and site migration.
• Launch multisite instances of Django CMS on-premise or to a public cloud.
• Integrate a Django CMS with third-party applications and systems.

This instructor-led, live training in Finland (online or onsite) is aimed at developers who wish to customize and extend a Python-based enterprise-grade CMS (content management system).

By the end of this training, participants will be able to:

• Set up the necessary development environment to start developing.
• Create custom page templates and plugins.
• Linking functionality from another application with a DJango system.
• Integrate an entire Django web application with a Django CMS website.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Finland (online or onsite) is aimed at backend developers who wish to build backend REST APIs with Python and Django.

By the end of this training, participants will be able to:

• Create a self documenting REST API.
• Deploy REST APIs onto a cloud based server.
• Implement APIs for application authentication.
• Build a reusable backend for future Python projects.

This instructor-led, live training in Finland (online or onsite) is aimed at developers who wish to customize and extend a Python-based CMS (content management system).

By the end of this training, participants will be able to:

• Set up the necessary development environment to start developing.
• Create and customize pages, menus, and forms to give personality to a website.
• Test, debug, optimize and deploy a fully functional website.
• Optimize websites for SEO.

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.

This is a practical course, which shows why programming is a powerful tool in the context of solving biological problems. During the course participants will be taught the Python programming language, a language widely considered both powerful as well as easy to use. This course might be considered as a demonstration how bioinformatics improves biologists lives.

The course is designed and aimed for people without computer science background who want to learn to program.

This course is suited for:

• Researchers dealing with biological data.
• Scientists who would like to learn how to automate everyday tasks and analyse data.
• Managers who want to learn how programming improves workflows and conducting projects.

By the end of the course, participants will be able to write short programs, which will allow them to manipulate, analyse and deal with biological data and present results in a graphical format.

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.

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.

This instructor-led, live training in Finland 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.

In this instructor-led, live training in Finland 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.

This instructor-led, live training in Finland (online or onsite) is aimed at developers who wish to 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.

This instructor-led, live training in Finland 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.

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.