Difference between revisions of "Pandas"

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(Created page with "== Pandas Tutorials == <font><i>. Data Analysis: This is using the tools like statistics and data visualization to better understand the problem by understanding the data...")
 
 
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== Pandas Tutorials ==
 
== Pandas Tutorials ==
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<font><i>Pandas is a Python library for data analysis and manipulation. It adds to the SciPy framework, which provides powerful libraries for handing gridded data (like NumPy) and plotting (like matplotlib).
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<u><b>Below are some websites with more information and beginner tutorials</u>:</b></i></font>
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* [https://www.learndatasci.com/tutorials/python-pandas-tutorial-complete-introduction-for-beginners/ Python Pandas Tutorial: A Complete Introduction for Beginners <b>(learndatasci.com)</b>]
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* [https://towardsdatascience.com/how-to-master-pandas-for-data-science-b8ab0a9b1042 How to Master Pandas for Data Science <b>(towardsdatascience.com)</b>]
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* [https://www.kaggle.com/learn/pandas Solve Short Hands-on Data Manipulation Challenges <b>(kaggle.com)</b>]
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* [https://machinelearningmastery.com/prepare-data-for-machine-learning-in-python-with-pandas/ Prepare Data for Machine Learning in Python with Pandas <b>(machinelearningmastery.com)</b>]
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* [https://towardsdatascience.com/data-manipulation-for-machine-learning-with-pandas-ab23e79ba5de Data Manipulation for Machine Learning with Pandas <b>(towardsdatascience.com)</b>]
  
    Data Analysis: This is using the tools like statistics and data visualization to better understand the problem by understanding the data.
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    Data Munging: This is the process of transforming raw data into a form so that it is appropriate for your job, like data analysis or machine learning.
 
 
 
 
 
Pandas is a Python library for data analysis and manipulation. It adds to the SciPy framework, which provides powerful libraries for handing gridded data (like NumPy) and plotting (like matplotlib).
 
 
 
 
 
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Latest revision as of 00:07, 8 March 2023

Pandas Tutorials

Pandas is a Python library for data analysis and manipulation. It adds to the SciPy framework, which provides powerful libraries for handing gridded data (like NumPy) and plotting (like matplotlib).

Below are some websites with more information and beginner tutorials: