Boost Data Science Productivity with PyCharm

Data scientists must be able to use the tools available to them effectively. Pycharm offers many scientific, coding and debugging tools. This course, Boost Data Science Productivity With PyCharm, will teach you how to make the most of PyCharm's most important features for Data Science projects. Visual debugging and highlighting typos reduce development friction, allowing you to concentrate on your Data Science projects. You will first learn how to better understand code by creating classes diagrams and viewing hierarchies. You will then learn how to write faster code using PyCharm features such as code completion and refactoring and inspections. Finally, you'll be able to debug code using breakpoints and remote debugging. You will also learn how to use the scientific mode in PyCharm and Jupyter notebooks. This course will give you a wealth of techniques, tips, and tricks to increase your Python productivity for Data Science projects.