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Text2Code is a Jupyter extension to convert English text to Python code.
Conda, Miniconda, and Anaconda are integral components in the data science and machine learning landscape, often utilized in Python and R coding environments. Let’s delve into what each of these terms means, followed by a discussion of their differences: Definitions Term Description Conda An open-source package manager and environment management […]
In an ambitious move to redefine code searching capabilities, GitHub has recently launched Blackbird, a new search engine specifically designed for code. This development, detailed in a ZDNet article, marks a significant technological advancement for the software development community at large, not just for GitHub. Built from scratch using the […]
A significant security vulnerability has been identified in Python’s URL parsing function. This flaw can be exploited to bypass domain or protocol filtering techniques that use a blocklist, potentially leading to unauthorized file access and command execution. The issue arises from the “urlparse” function’s inability to parse URLs that start […]
When initiating a software development project, the choice of programming language plays a pivotal role. Two popular contenders in this realm are Python and C#. Both languages have distinct advantages and challenges, making the decision contingent on the project’s specific requirements and the team’s proficiency. Python Highlights: C# Highlights: Choosing […]
Digitization of the city is heralded as the bottom-up empowerment of its citizens. But who defines citizenship as digital technology infiltrating everything from personalized experience to the unimagined potential of networked urban space? Mark Dean unpacks recent academic literature that questions citizens’ rights in the hyper-connected city. Improving the smart city for […]
The article discusses the DBSCAN clustering algorithm, a density-based unsupervised learning algorithm. Unlike other methods, it is one of the most widely used clustering methods because it can handle clusters of any shape. The article explains the essential parameters in DBSCAN, including the maximum distance between two samples, the minimum […]
Clustering is an essential technique in data analysis and machine learning that helps to identify patterns and relationships between data points. DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is one such clustering algorithm widely used in many applications due to its ability to identify clusters of different shapes and […]
Learn how to use design patterns to write better, more maintainable code Design patterns are reusable solutions to common software design problems. They provide a shared vocabulary for discussing design problems and answers and can help you write better, more maintainable code. What are Design Patterns? A design pattern is […]
In June of 2020, OpenAI launched their new model GPT-3, which not only has futuristic NLP(Natural Language Processing) capabilities, but was also able to generate React code and simplify command-line commands. Looking at these demos was a huge inspiration for us and we realized that while doing data analysis, a lot of times, we […]