when you buy 3 or more coursesThe discount will be automatically
There are no open public schedule dates for Advanced Python course. We can offer you a private training or arrange a public course for you. Contact us here and we can make arrangements for your course.
This advanced Python course explains how to use advanced Python to create applications. This course is not suitable for beginners in Python. If you are beginner, please consider our Python course first.
Few practical advanced Python based projects at the end of the course will ensure that you can apply advanced Python on your projects.
This short advanced Python course is hands-on, instructor-led and classroom based. This training can be taken as a part-time evening course or even on the weekends. A list of all upcoming public advanced Python training course is given on training dragon website.
This advanced Python training is designed for developers with prior experience of basic Python . This course is for you if you are interested in creating advanced Python applications for yourself or for others.
If you are a complete beginner in programming, please follow this path.
Training Dragon consultants have been implementing professional advanced Python solutions across a range of applications for many years. Those consultants write and teach our advanced Python training courses, so their experience directly informs course content.
Our advanced Python courses are designed to get you started in advanced Python programming. We work on industry related projects in this advanced Python course.
advanced Python electronic notes are included in this course.
After completing this training you will receive a advanced Python programming course completion certificate.
After the course if you have any problems or questions regarding advanced Python do not hesitate to contact us. Training Dragon’s trainers are expert in their fields and if you need any help with you career choice, please speak to one of our trainers.
old/new style classes method lookup and __mro__ inheritance, polymorphism, multiple inheritance operator overloading
standard exceptions asserts controlling tracebacks logging
Decorators, Iterators and Generators
lambda functions filters and maps descriptors nested functions currying closures
A brief overview of working with Numpy, Pandas, OpenPyXl, MatplotLib, Using Excel Charts
Working with database like PostgreSQL, Oracle, MySQL or MySQL Server
SQLAlchemy Scientific packages: Numpy, scipy, pandas, Visualisation: matplotlib, seaborn