All the major projects in deep-learning and neural networks are seeming to converge on Python as a glue language. As a long time Python engineer, I am utterly confused. I would think that there are better tools for this job.
Python boasts a vast array of powerful libraries specifically designed for data science, such as NumPy, Pandas, Matplotlib, SciPy, and Scikit-learn. These libraries provide an extensive set of tools for performing complex mathematical computations, data manipulation, statistical analysis, machine ...
The significant factor giving the push for Python is the variety of data science/data analytics libraries made available for the aspirants. Pandas, StatsModels, NumPy, SciPy, and Scikit-Learn, are some of the libraries well known in the data science community. Python does not stop with that a...
Python’s adaptability is one of its strongest assets. In web development, frameworks like Django and Flask enable developers to create robust and scalable web applications with ease. Data scientists rely on libraries such as pandas and NumPy to manipulate and analyze large datasets efficiently. The...
Also, the Python-based Django Framework runs Instagram and many other websites. On the science and engineering side, the data to create the 2019 photo of a black hole was processed in Python, and major companies like Netflix use Python in their data analytics work. There is also an ...
But what is it about Python that makes it so good for AI? In this article, we’ll take a look at the main reasons whyPython is the go-to programming languagefor developers working in the fields of machine learning and deep learning and why you should consider it for your next AI proje...
Python is for data scientists. Is it? Most companies I came across still bucket their knowledge-working staff into two categories: those with coding skills and those without them. Due to Evans Data Corporation EDC, there are roughly 23 million software developers worldwide. How many data scienti...
This is the basic use case of a data science project. Prerequisites Before starting this tutorial, one should have a basic knowledge of coding, preferably python, and know how the python code is executed in a particular IDE or basic knowledge of a code editor. ...
DataFrame - cuDF - This is a GPU-accelerated dataframe-manipulation library based on Apache Arrow. It’s designed to enable data management for model training. The Python bindings of the core-accelerated, low-level CUDA C++ kernels mirror the pandas API for seamless onboarding and transition from...
In layman’s language, GraphQL is a kind of query language and server-side runtime technology used widely for application programming interfaces of APIs that ensure that the client gets the required data. Nothing less or nothing more. The QL in the name stands for the query language. ...