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pyodbc

25
7
+ 1
0
Python

243.4K
198.4K
+ 1
6.9K
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pyodbc Stats
  • Dependent Packages Counts - 52
Python Stats
  • Dependent Packages Counts - 0
pyodbc Release info
Latest version
5.1.0
MIT-0
Python Release info
Latest version
3.10.8
Pros of pyodbc
Pros of Python
    Be the first to leave a pro
    • 1.2K
      Great libraries
    • 961
      Readable code
    • 847
      Beautiful code
    • 787
      Rapid development
    • 689
      Large community
    • 437
      Open source
    • 393
      Elegant
    • 282
      Great community
    • 272
      Object oriented
    • 220
      Dynamic typing
    • 77
      Great standard library
    • 60
      Very fast
    • 55
      Functional programming
    • 49
      Easy to learn
    • 45
      Scientific computing
    • 35
      Great documentation
    • 29
      Productivity
    • 28
      Matlab alternative
    • 28
      Easy to read
    • 24
      Simple is better than complex
    • 20
      It's the way I think
    • 19
      Imperative
    • 18
      Free
    • 18
      Very programmer and non-programmer friendly
    • 17
      Machine learning support
    • 17
      Powerfull language
    • 16
      Fast and simple
    • 14
      Scripting
    • 12
      Explicit is better than implicit
    • 11
      Ease of development
    • 10
      Clear and easy and powerfull
    • 9
      Unlimited power
    • 8
      It's lean and fun to code
    • 8
      Import antigravity
    • 7
      Print "life is short, use python"
    • 7
      Python has great libraries for data processing
    • 6
      Great for tooling
    • 6
      Rapid Prototyping
    • 6
      Readability counts
    • 6
      Fast coding and good for competitions
    • 6
      There should be one-- and preferably only one --obvious
    • 6
      High Documented language
    • 6
      I love snakes
    • 6
      Although practicality beats purity
    • 6
      Flat is better than nested
    • 6
      Now is better than never
    • 5
      Great for analytics
    • 5
      Lists, tuples, dictionaries
    • 4
      Easy to learn and use
    • 4
      Web scraping
    • 4
      Simple and easy to learn
    • 4
      Easy to setup and run smooth
    • 4
      Plotting
    • 4
      Beautiful is better than ugly
    • 4
      Multiple Inheritence
    • 4
      Complex is better than complicated
    • 4
      Socially engaged community
    • 4
      CG industry needs
    • 3
      Flexible and easy
    • 3
      Many types of collections
    • 3
      If the implementation is easy to explain, it may be a g
    • 3
      If the implementation is hard to explain, it's a bad id
    • 3
      Special cases aren't special enough to break the rules
    • 3
      Pip install everything
    • 3
      List comprehensions
    • 3
      No cruft
    • 3
      Generators
    • 3
      Import this
    • 3
      It is Very easy , simple and will you be love programmi
    • 2
      Can understand easily who are new to programming
    • 2
      Powerful language for AI
    • 2
      Should START with this but not STICK with This
    • 2
      A-to-Z
    • 2
      Because of Netflix
    • 2
      Only one way to do it
    • 2
      Better outcome
    • 2
      Good for hacking
    • 2
      Securit
    • 2
      Batteries included
    • 1
      Automation friendly
    • 1
      Sexy af
    • 1
      Slow
    • 1
      Procedural programming
    • 0
      Ni
    • 0
      Powerful
    • 0
      Keep it simple

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    Cons of pyodbc
    Cons of Python
      Be the first to leave a con
      • 53
        Still divided between python 2 and python 3
      • 28
        Performance impact
      • 26
        Poor syntax for anonymous functions
      • 22
        GIL
      • 19
        Package management is a mess
      • 14
        Too imperative-oriented
      • 12
        Hard to understand
      • 12
        Dynamic typing
      • 12
        Very slow
      • 8
        Indentations matter a lot
      • 8
        Not everything is expression
      • 7
        Incredibly slow
      • 7
        Explicit self parameter in methods
      • 6
        Requires C functions for dynamic modules
      • 6
        Poor DSL capabilities
      • 6
        No anonymous functions
      • 5
        Fake object-oriented programming
      • 5
        Threading
      • 5
        The "lisp style" whitespaces
      • 5
        Official documentation is unclear.
      • 5
        Hard to obfuscate
      • 5
        Circular import
      • 4
        Lack of Syntax Sugar leads to "the pyramid of doom"
      • 4
        The benevolent-dictator-for-life quit
      • 4
        Not suitable for autocomplete
      • 2
        Meta classes
      • 1
        Training wheels (forced indentation)

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      What is pyodbc?

      DB API Module for ODBC.

      What is Python?

      Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

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      What companies use pyodbc?
      What companies use Python?
      Manage your open source components, licenses, and vulnerabilities
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      What tools integrate with pyodbc?
      What tools integrate with Python?
        No integrations found

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