Python Libraries | Data Science | GeeksforGeeks

Key Takeaways

hello everyone in this video we'll be discussing top 10 python libraries for data science that are going to be very helpful for you in 2023. three very basic steps that are used in data science are analyzing visualizing and then drawing out insights using machine learning algorithms we are going to be seeing libraries that are being used for all of these first step is analysis where we have huge amount of data and we need to perform analysis on that for that we have pandas and numpy pandas is used for exploring cleaning and transforming data efficiently a numpy is used for numerical computations and other operation once the analysis part is done then comes visualization where we have to present the analyze data in the forms of crafts and plots and for that we use matplotlib Seaborn and plotly and then comes the most important part when we have our data analyzed and visualized now we want to draw out different and useful insights from that data using machine learning algorithms and for applying those machine learning algorithms we have tensor slow scikit-learn and ml lib and if you want to use neural networks and apply deep learning the libraries for DOT are kiras and pytorch so that concludes our top 10 python libraries for data science but we do have something in bonus for you as well if you want to use natural language processing the libraries for that are nltk and Genson and if you want to use computer vision for that libraries are opencv and image AI I hope you like this video and you found this helpful