This section starts with Chapter 11, Turning on Scientific Mode. Data science is arguably the field that has made Python increasingly popular in the programming community in the past few years (and the trend is projected to continue further). This is why a focus on data science and scientific computing tools is necessary for any good editor/IDE for Python programming. This section is therefore dedicated to the analysis of PyCharm's support for various scientific computing tasks.
The chapters in this section will discuss the specifics of SciView, the unique view in PyCharm that facilitates scientific computing practices. The integration of widely used scientific tools such as NumPy, pandas, IPython, and Jupyter Notebook will also be discussed in detail. At the end of the final chapter, we will analyze the process of building a complete...
