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1. www.reddit.com › r › learnpythonFollow-on recommendation : r/learnpython - Reddit

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   I've just completed Mark Myers book, "a smarter way to learn Python", and must admit I was very impressed with the content and style. I'm in a position now in which I need a recommendation for the next stage or book.

2. archive.org › details › smarterwaytolear0000myerA smarter way to learn Python : Myers, Mark, author : Free ...

   archive.org › details › smarterwaytolear0000myer

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   May 28, 2022 · A smarter way to learn Python. I designed a learning system for myself that quadrupled my aptitude for learning computer languages. It worked so well for me that I've used it to teach coding to grandmothers, cab drivers, musicians, and 50,000 other newbies.

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4. tomaugspurger.net › posts › modern-1-introModern Pandas (Part 1) | Tom's Blog - tomaugspurger.net

   tomaugspurger.net › posts › modern-1-intro

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   Mar 21, 2016 · This series is about how to make effective use of pandas, a data analysis library for the Python programming language. It’s targeted at an intermediate level: people who have some experience with pandas, but are looking to improve.

5. differentbrains.org › what-is-pandas-with-maraWhat is PANDAS? with Mara Myers, R.N. | EDB 277

   differentbrains.org › what-is-pandas-with-mara

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   Oct 9, 2022 · Mara Myers shares her son’s journey with the autoimmune neuropsychiatric disorder known as PANDAS. Mara Myers is a registered nurse, and the mom of a young son with PANDAS: Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal Infections.

6. pandas.pydata.orgpandas - Python Data Analysis Library

   pandas.pydata.org

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   pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Install pandas now!

7. pypi.org › project › pandaspandas · PyPI

   pypi.org › project › pandas

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   Apr 10, 2024 · What is it? pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python.

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   What is pandas in Python?

   • What is it? pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python.

   pandas · PyPI

   pypi.org/project/pandas/

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   How to read pandas data in Python?

   • Now you can use the pandas Python library to take a look at your data: Here, you follow the convention of importing pandas in Python with the pd alias. Then, you use .read_csv() to read in your dataset and store it as a DataFrame object in the variable nba. Note: Is your data not in CSV format? No worries!

   Using pandas and Python to Explore Your Dataset

   realpython.com/pandas-python-explore-dataset/

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   What data types does pandas use?

   • Here, you can see the data types int64, float64, and object. pandas uses the NumPy library to work with these types. Later, you’ll meet the more complex categorical data type, which the pandas Python library implements itself. The object data type is a special one.

   Using pandas and Python to Explore Your Dataset

   realpython.com/pandas-python-explore-dataset/

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   How do I use Jupyter notebook to explore data with pandas?

   • Get Jupyter Notebook: Click here to get the Jupyter Notebook you’ll use to explore data with Pandas in this tutorial. Include this line to show plots directly in the notebook: Both Series and DataFrame objects have a .plot() method, which is a wrapper around matplotlib.pyplot.plot(). By default, it creates a line plot.

   Using pandas and Python to Explore Your Dataset

   realpython.com/pandas-python-explore-dataset/

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9. realpython.com › pandas-python-explore-datasetUsing pandas and Python to Explore Your Dataset

   realpython.com › pandas-python-explore-dataset

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   In this step-by-step tutorial, you'll learn how to start exploring a dataset with pandas and Python. You'll learn how to access specific rows and columns to answer questions about your data. You'll also see how to handle missing values and prepare to visualize your dataset in a Jupyter notebook.