In python, the string replace function, replace(), is used to replace the occurrences of a substring with a different substring. It is an inbuilt string function that returns a copy of the string where occurrences of the original substring have been replaced by the new substring. Output: Table of Contents Syntax Examples Syntax The following […]
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In python, a string can be split into smaller chunks using the split() function. split() is a string function that returns a list of words in the string separated by the delimiter string passed. By default, any whitespace is a delimiter. Output: Table of Contents Syntax Examples Syntax The following is the syntax to use
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Data Structures in python allow you to store and access data more efficiently. In this tutorial, we’ll cover the four basic inbuilt data structures in python – lists, tuples, sets, and dictionaries. These inbuilt data structures are commonly used not just by programmers but also by data science practitioners for their day to day tasks.
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Lambda functions in python are single expression functions that are not bound to a name. This is why lambda functions are also called anonymous functions. In this tutorial, we’ll look at lambda functions, how are they different from normal functions, and where are they used along with some examples. Table of Contents Lambda Function Syntax
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Functions in python are sections of code meant for a specific purpose (or, function). Functions help to modularize the code and make it reusable. By the end of this tutorial, you’ll have an idea about the anatomy of a python function, how to define and call them, the scope of variables used inside the functions,
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Concatenating strings refers to simply combining them together. In this tutorial, we’ll explore the different ways in which strings can be concatenated in Python with examples. Table of Contents String concatenation in Python – using the + operator Other methods for string concatenation in Python Using the join() function Using the % operator Using the
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Control flow statements in python regulate the order of execution of commands. Conditional statements and loops are the common types of control flow statements used in python. This is the third article in our series Python for Data Science. In our first article, we introduced how data science is changing the world and why Python
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Operators in Python are special symbols used to perform operations on values or variables. Arithmetic, Comparison, Logical, and Assignment operators are the most commonly used. However, there are other types as well. This tutorial covers the different types of operators used in python along with examples to give you an idea of how and when
Hi, welcome to Python for Data Science, a short series of articles to help beginners in Data Science learn the fundamentals of the python programming language with a focus on Data Science use cases. There are no prerequisites, the series aims to introduce learners in Data Science to python in as simple and as no-nonsense
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Jupyter Notebook is a web-based application to execute code, document, display visualizations, etc all inside of a single notebook. You can create and share notebooks containing text, live code, visualizations, etc. It is this versatility that has made Jupyter Notebooks one of the most popular data science tools. Not only are these notebooks preferred by
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