Pandas for Everyone. Python Data Analysis ⢠Setting up your Python and Pandas environment ⢠Getting started with Pandas dataframes ⢠Using dataframes to calculate and perform basic statistical tasks ⢠Plotting in Matplotlib ⢠Cleaning data, reshaping dataframes, handling missing values, working with dates, and more ⢠Building basic data analytics models ⢠Applying machine learning techniques: both supervised and unsupervised ⢠Creating reproducible documents using literate programming techniques
Pandas for Everyone. Python Data Analysis ⢠Setting up your Python and Pandas environment ⢠Getting started with Pandas dataframes ⢠Using dataframes to calculate and perform basic statistical tasks ⢠Plotting in Matplotlib ⢠Cleaning data, reshaping dataframes, handling missing values, working with dates, and more ⢠Building basic data analytics models ⢠Applying machine learning techniques: both supervised and unsupervised ⢠Creating reproducible documents using literate programming techniques
BY Python đ Work With Data
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The global forecast for the Asian markets is murky following recent volatility, with crude oil prices providing support in what has been an otherwise tough month. The European markets were down and the U.S. bourses were mixed and flat and the Asian markets figure to split the difference.The TSE finished modestly lower on Friday following losses from the financial shares and property stocks.For the day, the index sank 15.09 points or 0.49 percent to finish at 3,061.35 after trading between 3,057.84 and 3,089.78. Volume was 1.39 billion shares worth 1.30 billion Singapore dollars. There were 285 decliners and 184 gainers.
The S&P 500 slumped 1.8% on Monday and Tuesday, thanks to China Evergrande, the Chinese property company that looks like it is ready to default on its more-than $300 billion in debt. Cries of the next Lehman Brothersâor maybe the next Silverado?âechoed through the canyons of Wall Street as investors prepared for the worst.
