Smith JamesEvery now and then, a Python library is developed that can make a difference in the field of deep learning. PyTorch is one such library.
Category: Tools
Parallel programming is an important technology that can improve performance and speed up the processing of large amounts of data. It can be particularly useful for projects involving scientific research, machine learning, data analysis, and other computationally intensive tasks.
First steps in NLP: Python library TensorFlow and neural networks
Neural networks are computing systems inspired by the biological neural networks that make up the animal brain.
What areas are worth using Python for
The Python programming language is truly versatile. It is applicable in many areas of information technology, development and programming.
Seaborn for data visualization
Seaborn is a library for creating statistical graphs in Python. It is built on matplotlib and integrates tightly with pandas data structures.
The Pandas library is the workhorse of data analytics
The library is used to analyze and process tabular data. Pandas is like Excel, but more powerful. In Pandas, you can easily work with millions of rows of data.
NumPy and SciPy: Basic Tools for Scientific Computing in Python
Python is one of the most popular programming languages for science and engineering because of its simplicity, flexibility, and rich library ecosystem.