TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #14867 · Jun 26
#python#mootdx#pytdx#tdx#tdxpy mootdx is a free, open-source Python tool that helps you easily read and use stock market data from Tongdaxin on Windows, MacOS, and Linux. It supports Python 3.8+ and can read offline daily, minute, and timeline stock data, as well as online real-time market quotes and financial files. You can install it simply with pip and use it to get detailed stock info for analysis or trading. This saves you time and effort by providing a ready-made, flexible way to access and work with Chinese stock market data in Python. It’s great for learning, research, and personal projects but not for commercial use[1][4]. https://github.com/mootdx/mootdx
Search: #array
@djangoproject · Post #316 · 04/28/2017, 06:09 AM
https://github.com/blissnd/easyxls Convert any #spreadsheet into a Python internal #dict/#array data structure, for easy processing. Can also handle pivot tables. For pivot table usage, header_row_start & header_col_start need to be set equal to the top left corner of the pivot table => header_row_start=8, header_col_start='c' in the included example. Column IDs must always be lowercase chars in quotes, e.g. 'a'.
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@djangoproject · Post #129 · 08/31/2016, 03:36 PM
https://pypi.python.org/pypi/numpy #NumPy is a general-purpose #array-processing package designed to efficiently manipulate large #multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional #arrays. NumPy is built on the #Numeric code base and adds features introduced by #numarray as well as an extended #C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose #data-base applications.