Resources to Learn Python - The Most Demanding Data Science Skill

Data science jobs are expected to grow by 28% over next 2 years. Data science is an interdisciplinary field at intersection of statistics, mathematics and engineering. Data science has recently played phenomenal role by transforming business process and consequently consequently contributed towards growth and efficiency. This has become possible of following factors: ... read more


Difference Between Primitive and Non-Primitive Data Types

A data structure is a way to organize and store data so that data can be accessed and edited efficiently. The data structures are an abstraction around data and the operations one would would like to perform on encapsulated data. This abstraction allows data scientists to focus on the bigger ... read more


Basic Built-in Data Types in Python for Data Science

Python is one of most used programming language in data science. It is a general purpose language and helps to generate insights quickly. Python community has developed a whole lot of very useful data science libraries such as NumPy, Pandas, Scikit Learn etc. One of main reasons of its popularity ... read more


5 Programming Tips for Data Scientists

There is a huge demand for data scientists at various levels in almost every industry. Programming is one of core skills, every hiring manager would like to see in potential data science applicants. The importance of programming skill in data science will not disappear anytime soon regardless how much headwinds ... read more


Jupyter Notebook Command Mode Keyboard Shortcuts

Starting with IPython 2.0, the Jupyter Notebook has two modes: edit mode command mode. Keyboard will behave differently depending upon which mode you have selected. Command mode Grey cell border is a sign that command mode is enabled. In command mode, we can edit the notebook as a whole, but not ... read more


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