This is the code repository for PyCharm for Power-Developer [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
This course starts by providing key Python concepts and exploring basic PyCharm functionality so you learn how to create high-quality projects. Then we explore topics around developing web apps with Python. At the end of each volume, we give you exercises to tie together the concepts and lessons presented.
- Tips and tricks to speed up your modeling process and obtain better results
- Make predictions using advanced regression analysis with Python
- Modern techniques for solving supervised learning problems
- Various ways to use ensemble learning with Python to derive optimum results
- Build your own recommendation engine and perform collaborative filtering
- Give your production machine learning system improved reliability
To fully benefit from the coverage included in this course, you will need:
The course is targeted at Python dev who would want to learn how to test, maintain and evolve their software with PyCharm
This course has the following software requirements:
- Install PyCharm
- Basic knowledge for Python