Python is one of the most widely used programming languages out there. It’s easy to learn and allows you to write programs quickly and with few errors, meaning that it’s a great language to use when you are learning computer programming or simply trying to get something done quickly. It’s also frequently used by artificial intelligence (AI) developers and machine learning specialists because of its straightforward, high-level syntax and its readability, which make it easier to debug any issues that might come up during the development process and make your programs more accurate.

Data Interpretation

The Open Source Data Science Mastersis a free online course with over 3,000 participants from over 100 countries. In just 9 weeks, students get exposed to fundamental data science skills through hands-on exercises. With each exercise, students must interpret data sets to complete their work.

Data Manipulation

Python is well suited to data manipulation. It’s a very good language when it comes to cleanly organized code, which makes writing algorithms simpler. There are a number of great tools for manipulating data with Python, including Pandas, Numpy, Scikit-Learn and Seaborn.

Data Visualization

After you’ve got a handle on learning machine learning algorithms, it’s time to consider how you’re going to apply those algorithms. After all, if you can’t look at your data and see meaningful insights in them, then you might as well be sending that machine learning code off into space with a note that says Here lies an answer. Please break it.

Natural Language Processing

How do computers understand human languages, anyway? No one ever taught a computer to speak like us. Why do we even try to make machines think like humans, when they don’t have a brain like ours to execute these tasks efficiently? That’s where Natural Language Processing (NLP) comes in. With NLP, computers can read text in any language—and translate it from one language to another! It’s the future of translation and chatbots.

Image Recognition/Categorization

Open-source: A big part of Python’s power lies in its easy adaptability. There are a variety of open-source libraries that provide a range of features, including image recognition and categorization. For example, you can use python development company to create facial recognition applications or programs to automatically tag your social media posts.