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tweak enterprise python page for clarity
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content/pages/01-introduction/05-enterprise-python.markdown

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@@ -39,12 +39,14 @@ frameworks when otherwise they should not make technical design decisions.
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## Why are there misconceptions about Python in enterprise environments?
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Traditionally large organizations building enterprise software have used
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statically typed languages such as C++, .NET and Java. Throughout the 1980s
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and 1990s large companies such as Microsoft, Sun Microsystems and Oracle
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marketed these languages as "enterprise grade". The inherent snub to other
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languages was that they were not appropriate for CIOs' difficult technical
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environments. Languages other than Java, C++ and .NET were seen as risky and
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therefore not worthy of investment.
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statically typed languages and platforms such as C++, C# and Java.
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Throughout the 1990s and early 2000s, large companies such as
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Microsoft, Sun Microsystems and Oracle marketed these languages as
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"enterprise grade". The inherent message about other programming
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ecosystem was that they were not appropriate for CIOs' difficult
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technical environments. Languages other than Java, C++ and C# (along
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with its broader .NET platform) were seen as risky and therefore not
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worthy of investment.
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In addition, "scripting languages" such as Python, Perl and Ruby were not
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yet robust enough in the 1990s because their core standard libraries were

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