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#datascience --------------------------------------------------------------------------------------------------------------------------------------- Video Description: In this video, you will learn how to import and explore data-frames in Python using the Pandas library. Pandas is a powerful and easy-to-use data manipulation and analysis tool that is widely used in data science and analytics. It provides a number of useful functions and features that make it easy to work with data in Python. To start, we will begin by installing Pandas using pip. Once Pandas is installed, we will import it into our Python environment using the import statement. Next, we will learn how to import data from a variety of sources, including CSV files, Excel sheets, and databases. We will also cover how to preview and examine the data using functions like head(), info(), and describe(). Finally, we will explore some of the powerful capabilities of Pandas for manipulating and cleaning data, including filtering, sorting, and aggregating data. We will also cover how to handle missing values and how to merge and join data from different sources. By the end of this video, you will have a solid understanding of how to import and explore data-frames in Python using Pandas. This knowledge will serve as a foundation for further data analysis and machine learning tasks. --------------------------------------------------------------------------------------------------------------------------------------- ✅Subscribe to our Channel to learn more about the top Data Science, Machine Learning and Deep Learning : https://www.youtube.com/c/Codanics --------------------------------------------------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------------------------------------------------- Explore other free courses here: 🔥 Python ka chilla v1.0 for Data Science (playlist): https://youtube.com/playlist?list=PL9XvIvvVL50HVsu-Ao8NBr0UJSO8O6lBI 🔥 Machine learning ka chilla (playlist): https://www.youtube.com/watch?v=KYl9zmSt-Ik&list=PL9XvIvvVL50HHzaLPtFBOuikAWa0JdhMW 🔥 Streamlit course for dash boards and webapps for data science (playlist): https://youtube.com/playlist?list=PL9XvIvvVL50FG8TUsLScsLMmJDacK36x2 🔥 Cloud computing (playlist): https://youtube.com/playlist?list=PL9XvIvvVL50H72Q75WkYA_2zjZok30Rvp 🔥 #RwithAammar Programming with R for Data Analysis and Data Science (Playlist): https://www.youtube.com/playlist?list=PL9XvIvvVL50E8HimtAnVL8N70MqImYOLS 🔥 Make publication ready graphs in Rstudio: https://www.youtube.com/playlist?list=PL9XvIvvVL50Hi2RGu-zlNEnk9WJMjPH-g 🔥 Computer Vision openCV in Python (Playlist): https://youtube.com/playlist?list=PL9XvIvvVL50GKoKrluZ1A96Bsuw8qC-3r 🔥MS Excel for Data Analysis: https://www.youtube.com/playlist?list=PL9XvIvvVL50Hl4kVygAWYEpBXUteQlAiN 🔥 SQL complete course in Hindi/Urdu: https://youtube.com/playlist?list=PL9XvIvvVL50FszjOhcZw9WXIJQY6ZwV5g --------------------------------------------------------------------------------------------------------------------------------------- 🔥-Follow me on following platforms: 1. Twitter: https://twitter.com/aammar_tufail 2. github: https://github.com/AammarTufail 3. Tiktok: https://www.tiktok.com/@draammar --------------------------------------------------------------------------------------------------------------------------------------- #dataScience Join this telegram group for regular updates via zoom meeting 1-to-1 sessions: https://t.me/codanics --------------------------------------------------------------------------------------------------------------------------------------- for more details: www.codanics.com
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