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Introduction to Pandas in Python Hindi | Pandas tutorial for beginners | Learn Pandas libraries
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Learn about Pandas in Hindi with Python tutorial for absolute beginners.
Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks. It is built on top of another package named Numpy, which provides support for multi-dimensional arrays.
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It is mainly used for data analysis and allows importing data from various file formats such as comma-separated values, JSON, SQL, Microsoft Excel.
Using Pandas in Python code is about various data manipulation operations such as merging, reshaping, selecting, as well as data cleaning, and data wrangling features.
In this video, we will provide you with five actionable ways for learning and running on python programming to increase your understanding and boost your skills without any difficulty.
Here is what we will go over in our video:
○ 0:00 - Introduction
○ 1:20 - Reading Datasets using Pandas.
○ 4:15 - Plotting Data in Pandas.
○ 6:30 - Indexing, selecting and filtering using Pandas.
○ 9:20 - Merging and Concatenating Dataframes.
○ 12:48 - Lamba, map and apply functions.
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Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks. It is built on top of another package named Numpy, which provides support for multi-dimensional arrays.
▬▬▬▬▬▬▬▬▬▬▬▬▬▬
It is mainly used for data analysis and allows importing data from various file formats such as comma-separated values, JSON, SQL, Microsoft Excel.
Using Pandas in Python code is about various data manipulation operations such as merging, reshaping, selecting, as well as data cleaning, and data wrangling features.
In this video, we will provide you with five actionable ways for learning and running on python programming to increase your understanding and boost your skills without any difficulty.
Here is what we will go over in our video:
○ 0:00 - Introduction
○ 1:20 - Reading Datasets using Pandas.
○ 4:15 - Plotting Data in Pandas.
○ 6:30 - Indexing, selecting and filtering using Pandas.
○ 9:20 - Merging and Concatenating Dataframes.
○ 12:48 - Lamba, map and apply functions.
Want to discover more about our varied courses available?
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-------------------
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