Skip to main content

Python Basics - know about libraries

Python's popularity for data science is largely due to the strength of its core libraries, high productivity for prototyping and building small and reusable systems, and its strength as a general purpose programming language.

 python library

For importing any Python library take the reference from the below code snippet in your notebook-


Some core libraries that we will use in data science are as below-

  1. pandas
  2. NumPy
  3. Scipy
  4. matplotlib

Comments

Post a Comment

Popular posts from this blog

Learn the fastest way to build data apps

Another post starts with you beautiful people! I hope you have enjoyed and learned something new from my previous three posts about machine learning model deployment. In one post we have learned  How to deploy a model as FastAPI?  I n the second post, we have learned  How to deploy a deep learning model as RestAPI ? and in the third post, we have also learned  How to scale your deep learning model API?   If you are following my blog posts, you have seen how easily you have transit yourselves from aspiring to a mature data scientist. In this new post, I am going to share a new framework-  Streamlit which will help you to easily create a beautiful app with Python only. I will show here how had I used the Streamlit framework to create an app for my YOLOv3 custom model. What is Streamlit? Streamlit’s open-source app framework is the easiest way for data scientists and machine learning engineers to create beautiful, performant apps in only a few hours!...
48 comments
Read more

YOLObile- a new state of the art Real-Time Object Detection model for Mobile Devices

  Another post starts with you beautiful people! Thanks for giving so many views on my previous post 👍. I am glad to see my previous posts are helping people to use state of the art object detection and recognition deep learning model in their projects. If you are new to my blog, I recommend seeing once my previous posts, and you will not be disappointed if your goal is to learn applied computer vision free of cost. Continuing my journey of sharing knowledge in this post I am going to share with you a new state of the art framework for object detection on mobile devices-  YOLObile  📱 There has been a trade-off between speed and the accuracy of object detections. For example, the state of the art,  YOLOv4 model gives us a very accurate detection but its speed is slow if we want to use it on a mobile device. On the other hand, its lighter version YOLOv4-tiny works very fast on a mobile device but its accuracy reduces. For a detailed comparison of FPS vs mAP you can ...
57 comments
Read more

Can you build a model to predict toxic comments?

Another post starts with you beautiful people! Hope you have learnt something new and very powerful machine learning model from my previous post-  How to use LightGBM? Till now you must have an idea that there is no any area left that a machine learning model cannot be applied; yes it's everywhere! Continuing our journey today we will learn how to deal a problem which consists texts/sentences as feature. Examples of such kind of problems you see in internet sites, emails, posts , social media etc. Data Scientists sitting in industry giants like Quora, Twitter, Facebook, Google are working very smartly to build machine learning models to classify texts/sentences/words. Today we are going to do the same and believe me friends once you do some hand on, you will be also in the same hat. Challenge Link :  jigsaw-toxic-comment-classification-challenge Problem : We’re challenged to build a multi-headed model that’s capable of detecting different types of toxicity like thre...
33 comments
Read more