Article
In an increasingly data-driven world, the need for effective and efficient web frameworks to build APIs has never been greater. One such framework that has been gaining popularity in the Python community is FastAPI. This powerful, modern, web framework is specifically designed for building APIs quickly and easily, yet it...
Dimitrije Stamenic
As a data analyst, it is our responsibility to ensure data integrity to obtain accurate and trustworthy insights. Data cleansing plays a vital role in this process, and duplicate values are among the most common issues data analysts encounter. Duplicate values can potentially misrepresent insights. Therefore, it is crucial to...
Guest Contributor
In the field of Natural Language Processing (NLP), one of the fundamental tasks is Parts of Speech (PoS) tagging. PoS tagging involves assigning grammatical categories, like nouns, verbs, adjectives, etc., to words in a sentence. This process plays an important role in many NLP applications, including text analysis, information retrieval,...
Among the many tasks you may encounter when manipulating strings in Python, one common requirement is to remove certain characters from a string – in this case, commas. Commas can be found in numerous contexts, like CSV files or number representations, and while they serve a useful purpose, there are instances...
A dictionary in Python is an essential and robust built-in data structure that allows efficient retrieval of data by establishing a relationship between keys and values. It is an unordered collection of key-value pairs, where the values are stored under a specific key rather than in a particular order. In...
Sridevi Madbhavi
When working with Python, we often have to deal with data in the form of numbers or words. Sometimes, words and numbers are stored together, and our needs compel us to separate numbers from words. In this article, we'll explain how to define words and numbers in Python. Then, we'll...
Federico Trotta
In Python, it's often important to check whether a string is empty or None before performing operations on it. This can prevent unexpected errors and make your code more robust. But what is the most efficient and Pythonic way to do this? And what potential pitfalls should you watch out...
TextBlob is a package built on top of two other packages, one of them is called Natural Language Toolkit, known mainly in its abbreviated form as NLTK, and the other is Pattern. NLTK is a traditional package used for text processing or Natural Language Processing (NLP), and Pattern is built...
Cássia Sampaio
When I started learning Data Analysis a few years ago, the first thing I learned was SQL and Pandas. As a data analyst, it is crucial to have a strong foundation in working with SQL and Pandas. Both are powerful tools that help data analysts efficiently analyze and manipulate stored...
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