If you ask any practicing data scientist for recommendation for a good book to learn data science, you will get too many different useful books. Some may be introductory level, some may be introductory level with a bit of math not just coding, a bit advanced level, and some might be from different domains. It […]
How To Make Histogram in Python with Pandas and Seaborn?
Histograms are a great way to visualize the distributions of a single variable and it is one of the must for initial exploratory analysis with fewer variables. In Python, one can easily make histograms in many ways. Here we will see examples of making histogram with Pandas and Seaborn. Let us first load Pandas, pyplot […]
Book Review: Python Data Science Handbook
Finally, a Book Review. It is long over due. During the last few years, used a lot of interesting books on Data Science and Machine Learning for learning and teaching. Hoping to add reviews of the useful Data Science books that I have used, periodically. Here is the first book review on Python Data Science […]
3 Ways to Add New Columns to Pandas Dataframe?
While doing data wrangling or data manipulation, often one may want to add a new column or variable to an existing Pandas dataframe without changing anything else. Obviously the new column will have have the same number of elements. Let us see examples of three ways to add new columns to a Pandas data frame. […]
How To Make Heatmap with Seaborn in Python?
Visualizing data with heatmaps is a great way to do exploratory data analysis, when you have a data set with multiple variables. Heatmaps can reveal general pattern in the dataset, instantly. And it is very easy to make beautiful heatmaps with Seaborn library in Python. Let us see 3 examples of creating heatmap visualizations with […]