Learn high-performance pandas in python tutorial, pandas library in python for data analysis in data science. Explore python libraries for data science in this exemplary free course.
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.
This book requires basic knowledge of Python programming to learn the concepts of probability and statistics. The book is based on a Python libraries for probability distributions. Bayesian statistics is an important concept for data science and many books do not cover this but Think Stats emphasizes...
3. Python is instrumental in data science and AI Arguably the areas where you find Python the most are data science, AI and machine learning - a subset of AI. Out of the box, Python comes with a lot of built-in libraries that provide a lot of the functionality a data scientist might...
Why is Python so popular? Take a brief look at nine factors that have helped make Python one of the world’s leading programming languages.
4. Python Has Amazing Libraries When you’re working on bigger projects, libraries can really help you save time and cut down on the initial development cycle. Python has an excellent selection of libraries, from NumPy and SciPy for scientific computing to Django for web development. ...
Here we propose a set of notebooks for the practice of TDA with the Python Gudhi library together with popular machine learning and data sciences libraries. See for instance this paper for an introduction to TDA for data science. The complete list of notebooks can also be found at the end ...
awesome-python A curated list of awesome Python frameworks, libraries, software and resources 109K Github Stars vinta Open Now computer-science 🎓 Path to a free self-taught education in Computer Science! 103K Github Stars ossu Open Now ...
Anacondais a prominent platform tailored for Python data science, catering to the needs of data-driven enterprises, data scientists, and open-source communities. This platform offers comprehensive solutions for enterprise data science, machine learning, and AI projects. ...
Scala was designed to fill gaps in Java, such as functional programming features. It has gained traction in the development of software libraries and applications. Scala has been criticized for its steep learning curve. However, many of the principles learned in Scala apply neatly to other languag...