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The book is a condensed introduction to Python and its data science related libraries such as NumPy, Pandas, and Matplotlib. The illustrative examples we use are associated with the financial markets.
Such data can be charted through Technical Analysis charting packages such as MetaStock and AmiBroker, and accessed in programming languages such as Python. Norgate's data services are utilised by retail-level non-professional traders and investors, Government entities such as the Brazil Government, [1] large corporate entities such as Deutsche ...
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.
Dask Bag is used to parallelize computation of semi-structured or unstructured data, such as JSON records, text data, log files or user-defined Python objects using operations such as filter, fold, map and groupby. Dask Bags can be created from an existing Python iterable or can load data directly from text files and binary files in the Avro ...
Download the data dump using a BitTorrent client (torrenting has many benefits and reduces server load, saving bandwidth costs). pages-articles-multistream.xml.bz2 – Current revisions only, no talk or user pages; this is probably what you want, and is over 19 GB compressed (expands to over 86 GB when decompressed).
The economic data published on FRED are widely reported in the media and play a key role in financial markets. In a 2012 Business Insider article titled "The Most Amazing Economics Website in the World", Joe Weisenthal quoted Paul Krugman as saying: "I think just about everyone doing short-order research — trying to make sense of economic issues in more or less real time — has become a ...
Many banks in the US let customers use personal financial management software to automatically download their bank statements in OFX format, but most Canadian, [7] [8] [9] United Kingdom and Australian banks do not allow this, however, many banks do support downloading financial data in OFX, QFX, QIF, or spreadsheet format via their web interface for later import into financial software.
ArangoDB is a transactional native multi-model database supporting two major NoSQL data models (graph and document [1]) with one query language. Written in C++ and optimized for in-memory computing. In addition ArangoDB integrated RocksDB for persistent storage. ArangoDB supports Java, JavaScript, Python, PHP, NodeJS, C++ and Elixir.