Article
Whether you realize it or not, data has become a crucial part of our day-to-day lives. From ordering food online to searching for cat food, we are constantly sending and receiving data. As developers of web applications, it is our responsibility to ensure that user inputs are in the specified...
Subha Chanda
Machine Learning (ML) is a field of study that focuses on developing algorithms to learn automatically from data, making predictions and inferring patterns without being explicitly told how to do it. It aims to create systems that automatically improve with experience and data. This can be achieved through supervised learning,...
Guest Contributor
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...
Dimitrije Stamenic
Software testing is the process of evaluating and verifying that a software product or application runs successfully and performs its required tasks without any errors. Testing might seem like a waste of time to some developers, but it is important to test your application or components if you want to...
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...
Among the plenty of string operations, splitting a string is a significant one, offering the capability to divide a large, composite text into smaller, manageable components. Typically, we use a single delimiter like a comma, space, or a special character for this purpose. But what if you need to split...
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