Keywords – they play a major role in many areas where textual data is being used. Detecting those words would pave way for the next set of actions that the program needs to pursue in machine learning applications. In this article, we shall explore one such use case where Python shall be used to extract …
Extracting a String Between Two Substrings in Python Read More »
A string is a data type that can consist of any combination of letters, numbers, and symbols. A string can contain both vowels and consonants of alphabets borrowed from the language of English. In this article, we are going to remove vowels from a string using Python. There are different techniques which can be deployed …
When dealing with datasets, they need not necessarily be in the format that we require. At times, even numerical data can be stored in textual format and instances like those might throw tantrums at the pace at which we progress, especially when gargantuan amounts of data are involved. Is there a way around this? Can …
When ‘x’ number of zeros are added to the right of any number, it automatically increases the value of that number by ‘x’ times. But there might be instances in working with data which require one to include ‘x’ number of zeros to the left of a given number, which literally does nothing to the …
How to Display Numbers with Leading Zeros in Python? Read More »
At times the data which we have at our disposal ain’t really the data that we need. It really puts us in an awkward situation where we can’t readily deduce anything with what we have. Conversion of data from one format to another is synonymous with what translation is for humans. Similar to how we …
Convert Hex to RGB Values in Python – Simple Methods Read More »
Data is available in various formats and so does its subset – the numerical data! What’s with numbers you ask? Well, there is a lot in fact. We have whole numbers, decimals, integers, complex numbers and so on. At times, the data type available in the input is not exactly what is required for analyzing. …
How to Convert float64 Columns to int64 in Pandas? Read More »
Sometimes numbers just are not enough. More and more numbers make it a tad bit difficult to differentiate and interpret data. That’s exactly where textual information comes in! A bit of textual data goes a long way in explaining what those numbers stand for. At times, one might also see oneself in a situation where …
Amongst the umpteen mathematical constants in existence, one that is prominent of the lot would be Euler’s number. Distilled after a series of derivations by Leonard Euler in the 18th century, Euler’s number ventured into the world as we know being irrational with over a trillion digits of accuracy. Denoted by the letter ‘e’, given …
Using Euler’s Number & Power Operation in Python Read More »
Data can be recorded in umpteen formats. There is no universal format which serves as a one size fits all, for data recording. Depending on the purpose or the source from which the data is collected, the format which is used to record the data highly varies. But, when it comes to data analysis, one …
When it comes to data analysis, the primary task is to import data into the tool which analyses the data. The tricky part lies in getting the data imported since there is no universal format to consolidate data. Some prefer spreadsheets while others make do with the ‘.csv’ files. Some might even import data directly …