How to Install and Uninstall libfccp-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 25,2024

1. Install "libfccp-dev" package

Here is a brief guide to show you how to install libfccp-dev on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libfccp-dev
            
                    
    
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2. Uninstall "libfccp-dev" package

In this section, we are going to explain the necessary steps to uninstall libfccp-dev on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libfccp-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libfccp-dev package on Ubuntu 20.10 (Groovy Gorilla)

Package: libfccp-dev
Architecture: all
Version: 0.0+git20160525~9bf299c-2
Priority: optional
Section: universe/libdevel
Source: fast-cpp-csv-parser
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Jörg Frings-Fürst
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 121
Filename: pool/universe/f/fast-cpp-csv-parser/libfccp-dev_0.0+git20160525~9bf299c-2_all.deb
Size: 52624
MD5sum: 8b311ad3310a003cdd209fd431d6b513
SHA1: 4620e09ab75e6acdbfd99d9090c61c913a43ffb3
SHA256: 0e2a4b9c3e45175d88f73333bf4f5d5b9333fb51070c4cde372c14c2c91c99cd
SHA512: 2b6c897682f580a93ecb2b371c8ba269c7812c261205f8d8fa20c1c5ba07ad3bef1d522d1c2743b3b0540a825fb3f92371d7bf74bbfae637b215bf8efab27c99
Homepage: https://github.com/ben-strasser/fast-cpp-csv-parser
Description-en: Fast C++ CSV Parser
fast-cpp-cvs-parser is a small, easy-to-use and fast header-only
library for reading comma separated value (CSV) files. The library
is completely contained inside a single header file. The library
can used with a standard conformant C++11 compiler.
.
Feature list:
* Automatically rearranges columns by parsing the header line.
* Disk I/O and CSV-parsing are overlapped using threads for efficiency.
* Parsing features such as escaped strings can be enabled and disabled
at compile time using templates.
* Can read multiple GB files in reasonable time.
* Support for custom columns separators (i.e. Tab separated value files
are supported), quote escaped strings, automatic space trimming.
* Works with *nix and Windows newlines and automatically ignores UTF-8 BOMs.
* Exception classes with enough context to format useful error messages.
* what() returns error messages ready to be shown to a user.
Description-md5: 764477253e420f66398afe1eca2b3143