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Looking for a beginner Python buddy for Data Analytics

1st October, 2024
Last date to join: 10th October, 2024

I started learning Python a few weeks. I began with "Automate the Boring Stuff" and am looking to move to "Python for Data Analysis" after. I've been procrastinating a bit too much and have been stuck on chapter for 4 of Automate the boring stuff. I'm looking for someone who is learning python from the beginning as well and wants to learn both the basics and data analytics with me. This way we hold each other accountable for progress each week and we can discuss anything we're stuck on to improve.

Advanced-beginner English

Description

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.

Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.

  • Use the Jupyter notebook and IPython shell for exploratory computing
  • Learn basic and advanced features in NumPy
  • Get started with data analysis tools in the pandas library
  • Use flexible tools to load, clean, transform, merge, and reshape data
  • Create informative visualizations with matplotlib
  • Apply the pandas groupby facility to slice, dice, and summarize datasets
  • Analyze and manipulate regular and irregular time series data
  • Learn how to solve real-world data analysis problems with thorough, detailed examples

Python for Data Analysis, 3rd Edition

Start Learning
Books
O'Reilly Media
Exclusively Paid
13h 6m
No Certificate
579 pages

Looking for a beginner Python buddy for Data Analytics

1st October, 2024
Last date to join: 10th October, 2024
Start Learning
Affiliate notice

I started learning Python a few weeks. I began with "Automate the Boring Stuff" and am looking to move to "Python for Data Analysis" after. I've been procrastinating a bit too much and have been stuck on chapter for 4 of Automate the boring stuff. I'm looking for someone who is learning python from the beginning as well and wants to learn both the basics and data analytics with me. This way we hold each other accountable for progress each week and we can discuss anything we're stuck on to improve.

Advanced-beginner English

  • Type
    Books
  • Provider
    O'Reilly Media
  • Pricing
    Exclusively Paid
  • Duration
    13h 6m
  • Certificate
    No Certificate
  • Pages
    579 pages

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.

Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.

  • Use the Jupyter notebook and IPython shell for exploratory computing
  • Learn basic and advanced features in NumPy
  • Get started with data analysis tools in the pandas library
  • Use flexible tools to load, clean, transform, merge, and reshape data
  • Create informative visualizations with matplotlib
  • Apply the pandas groupby facility to slice, dice, and summarize datasets
  • Analyze and manipulate regular and irregular time series data
  • Learn how to solve real-world data analysis problems with thorough, detailed examples

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10th October, 2024

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