Socket programming is a technique for connecting two applications, or nodes, on a network by using sockets as endpoints for transferring and receiving data. It is a key networking concept that allows programs to communicate data over local and remote networks. In Python, the socket module contains...
Python is a high-level, general-purpose programming language known for its readability and simplicity. Learn the features, applications, and advantages of Python.
The time() function in Python returns the current time in seconds since the beginning of the epoch. It allows you to measure time intervals, benchmark code, and track time-related data within your programs. This post was written by Siddhant Varma. Siddhant is a full stack JavaScript developer...
When you make a new class in Python the first method you'll likely make is the __init__ method. The __init__ method allows you to accept arguments to your class.More importantly, the __init__ method allows you to assign initial values to various attributes on your class instances....
Floats in Python What is Number System in Python? Decimal Numbers Binary Numbers Octal Numbers Hexadecimal Numbers Key Takeaways Practice Yourself What is Literal? Literalsare some data that can be identified by themselves. In other words, you can think of it as a direct value. For example, ...
ActiveState Empowers Data Scientists with R Language Support, Strengthening Leadership in Open Source Security Posture Management Company extends its secure, curated open source catalog to secure the data science software supply chain through Intelligent Remediation Vancouver, BC – [24 April 2025] ...
Data modeling (data modelling) is the process of creating a data model for the data to be stored in a database.
Quantitative — numerical — data in action Quantitative data is used when a researcher needs to quantify a problem, and answers questions like “what,”“how many,” and “how often.” This type of data is frequently used in math calculations, algorithms, or statistical analysis. ...
techniques to determine whether hypotheses about a data set are true or false. EDA is often compared to detective work, while CDA is akin to the work of a judge or jury during a court trial -- a distinction first drawn by statistician John W. Tukey in his 1977 bookExploratory Data ...
Big data refers to large, diverse data sets made up of structured, unstructured and semi-structured data. This data is generated continuously and always growing in size, which makes it too high in volume, complexity and speed to be processed by traditional data management systems. Big data is...