Python is great for data exploration and data analysis and it’s all thanks to the support of amazing libraries like numpy, pandas, matplotlib, and many others. During our data exploration and ...

Install Plotly using pip: pip install plotly Setting Up a Development Environment: Recommended IDEs and Tools: Popular Integrated Development Environments (IDEs) for Python development include PyCharm ...

The course begins with an introduction to Python and the general syntax of the language. We then move on to (i) working with the data science libraries in Python such as NumPy (for linear algebra) and ...

Jupyter Notebook benefits Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebook is useful in all kinds of ways for all kinds of projects: ...