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Planned economy#Command economy To a section : This is a redirect from a topic that does not have its own page to a section of a page on the subject. For redirects to embedded anchors on a page, use {{ R to anchor }} instead .
Economic analysts have argued that the economy of the Soviet Union actually represented an administrative or command economy as opposed to a planned economy because planning did not play an operational role in the allocation of resources among productive units in the economy since in actuality the main allocation mechanism was a system of ...
That's fine, but the previous definition was the abstract definition used in economic theory. A pure command economy has probably never existed much like a free-market economy has never existed. Your professor most likely presented criteria for finding real-world approximations to the pure command economy of economic theory.
The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. [1] Python code that aligns with these principles is often referred to as "Pythonic". [2] Software engineer Tim Peters wrote this set of principles and posted it on the Python mailing list in ...
See also: the {{}} template. The #if function selects one of two alternatives based on the truth value of a test string. {{#if: test string | value if true | value if false}} As explained above, a string is considered true if it contains at least one non-whitespace character.
Capitalists can chose to coordinate a planned economy together and monopoly capitalists implicitly plan out their economy, a couple example of a Capitalist planned economy are the way coal towns were typically run during the 1800's or how the Congo was privately run from 1885-1908.
According to Yevgeni Preobrazhensky, a Bolshevik economist, control over the commanding heights of the economy would ensure primitive socialist accumulation. [1] The phrase can be traced back to Vladimir Lenin 's defense of the New Economic Policy (NEP), which saw market-oriented reforms while the state retained control of the commanding heights.
In Python 3.x the range() function [28] returns a generator which computes elements of the list on demand. Elements are only generated when they are needed (e.g., when print(r[3]) is evaluated in the following example), so this is an example of lazy or deferred evaluation: