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ptt-login | ptt login script

 by   w181496 Python Version: Current License: No License

 by   w181496 Python Version: Current License: No License

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kandi X-RAY | ptt-login Summary

ptt-login is a Python library typically used in Programming Style applications. ptt-login has no bugs, it has no vulnerabilities and it has low support. However ptt-login build file is not available. You can download it from GitHub.
ptt login script
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • ptt-login has a low active ecosystem.
  • It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
  • It had no major release in the last 12 months.
  • ptt-login has no issues reported. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of ptt-login is current.
ptt-login Support
Best in #Python
Average in #Python
ptt-login Support
Best in #Python
Average in #Python

quality kandi Quality

  • ptt-login has no bugs reported.
ptt-login Quality
Best in #Python
Average in #Python
ptt-login Quality
Best in #Python
Average in #Python

securitySecurity

  • ptt-login has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
ptt-login Security
Best in #Python
Average in #Python
ptt-login Security
Best in #Python
Average in #Python

license License

  • ptt-login does not have a standard license declared.
  • Check the repository for any license declaration and review the terms closely.
  • Without a license, all rights are reserved, and you cannot use the library in your applications.
ptt-login License
Best in #Python
Average in #Python
ptt-login License
Best in #Python
Average in #Python

buildReuse

  • ptt-login releases are not available. You will need to build from source code and install.
  • ptt-login has no build file. You will be need to create the build yourself to build the component from source.
ptt-login Reuse
Best in #Python
Average in #Python
ptt-login Reuse
Best in #Python
Average in #Python
Top functions reviewed by kandi - BETA

kandi has reviewed ptt-login and discovered the below as its top functions. This is intended to give you an instant insight into ptt-login implemented functionality, and help decide if they suit your requirements.

  • Login to telnet
    • Prints a message
      • Login to acc . txt .
        • Disconnects the connection
          • Set delay .

            Get all kandi verified functions for this library.

            Get all kandi verified functions for this library.

            ptt-login Key Features

            ptt login script

            ptt-login Examples and Code Snippets

            No Code Snippets are available at this moment for ptt-login.

            See all Code Snippets related to Python

            Community Discussions

            Trending Discussions on Programming Style
            • Use for loop or multiple prints?
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            Trending Discussions on Programming Style

            QUESTION

            Use for loop or multiple prints?

            Asked 2022-Mar-01 at 21:31

            What programming style should I use?

            ...
            print(1)
            print(2)
            

            or

            ...
            for i in range(1, 3):
                print(i)
            

            The output is the same 1 and on the next line 2, but which version should I use as a Python programmer?

            I mean the first version is redundant or not?

            ANSWER

            Answered 2022-Mar-01 at 21:31

            It depends.

            There is an old rule "three or more, use for". (source)

            On the other hand, sometimes unrolling a loop can offer a speed-up. (But that's generally more true in C or assembly.)

            You should do what makes your program more clear.

            For example, in the code below, I wrote out the calculations for the ABD matrix of a fiber reinforced composite laminate, because making nested loops would make it more complex in this case;

                for la, z2, z3 in zip(layers, lz2, lz3):
                    # first row
                    ABD[0][0] += la.Q̅11 * la.thickness  # Hyer:1998, p. 290
                    ABD[0][1] += la.Q̅12 * la.thickness
                    ABD[0][2] += la.Q̅16 * la.thickness
                    ABD[0][3] += la.Q̅11 * z2
                    ABD[0][4] += la.Q̅12 * z2
                    ABD[0][5] += la.Q̅16 * z2
                    # second row
                    ABD[1][0] += la.Q̅12 * la.thickness
                    ABD[1][1] += la.Q̅22 * la.thickness
                    ABD[1][2] += la.Q̅26 * la.thickness
                    ABD[1][3] += la.Q̅12 * z2
                    ABD[1][4] += la.Q̅22 * z2
                    ABD[1][5] += la.Q̅26 * z2
                    # third row
                    ABD[2][0] += la.Q̅16 * la.thickness
                    ABD[2][1] += la.Q̅26 * la.thickness
                    ABD[2][2] += la.Q̅66 * la.thickness
                    ABD[2][3] += la.Q̅16 * z2
                    ABD[2][4] += la.Q̅26 * z2
                    ABD[2][5] += la.Q̅66 * z2
                    # fourth row
                    ABD[3][0] += la.Q̅11 * z2
                    ABD[3][1] += la.Q̅12 * z2
                    ABD[3][2] += la.Q̅16 * z2
                    ABD[3][3] += la.Q̅11 * z3
                    ABD[3][4] += la.Q̅12 * z3
                    ABD[3][5] += la.Q̅16 * z3
                    # fifth row
                    ABD[4][0] += la.Q̅12 * z2
                    ABD[4][1] += la.Q̅22 * z2
                    ABD[4][2] += la.Q̅26 * z2
                    ABD[4][3] += la.Q̅12 * z3
                    ABD[4][4] += la.Q̅22 * z3
                    ABD[4][5] += la.Q̅26 * z3
                    # sixth row
                    ABD[5][0] += la.Q̅16 * z2
                    ABD[5][1] += la.Q̅26 * z2
                    ABD[5][2] += la.Q̅66 * z2
                    ABD[5][3] += la.Q̅16 * z3
                    ABD[5][4] += la.Q̅26 * z3
                    ABD[5][5] += la.Q̅66 * z3
                    # Calculate unit thermal stress resultants.
                    # Hyer:1998, p. 445
                    Ntx += (la.Q̅11 * la.αx + la.Q̅12 * la.αy + la.Q̅16 * la.αxy) * la.thickness
                    Nty += (la.Q̅12 * la.αx + la.Q̅22 * la.αy + la.Q̅26 * la.αxy) * la.thickness
                    Ntxy += (la.Q̅16 * la.αx + la.Q̅26 * la.αy + la.Q̅66 * la.αxy) * la.thickness
                    # Calculate H matrix (derived from Barbero:2018, p. 181)
                    sb = 5 / 4 * (la.thickness - 4 * z3 / thickness ** 2)
                    H[0][0] += la.Q̅s44 * sb
                    H[0][1] += la.Q̅s45 * sb
                    H[1][0] += la.Q̅s45 * sb
                    H[1][1] += la.Q̅s55 * sb
                    # Calculate E3
                    c3 += la.thickness / la.E3
            

            Source https://stackoverflow.com/questions/71314703

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install ptt-login

            You can download it from GitHub.
            You can use ptt-login like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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