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The GNU Debugger (GDB) is a portable debugger that runs on many Unix-like systems and works for many programming languages, including Ada, Assembly, C, C++, D, Fortran, Haskell, Go, Objective-C, OpenCL C, Modula-2, Pascal, Rust, [2] and partially others.
Research center. Howard Hughes Medical Institute. Johns Hopkins University School of Medicine. Primary citation. PMID 2041809. Release date. 1989. The GDB Human Genome Database was a community curated collection of human genomic data. It was a key database in the Human Genome Project [1] [2] and was in service from 1989 to 2008.
Comparison of debuggers. This is a comparison of debuggers: computer programs that are used to test and debug other programs. Name. First release. Description. Language. OS. Memory protection ?
Software development. A debugger or debugging tool is a computer program used to test and debug other programs (the "target" program). The main use of a debugger is to run the target program under controlled conditions that permit the programmer to track its execution and monitor changes in computer resources that may indicate malfunctioning code.
Graph database. A graph database ( GDB) is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. [1] A key concept of the system is the graph (or edge or relationship). The graph relates the data items in the store to a collection of nodes and edges, the edges representing the ...
The Dow slid by 496 points, or 1.2%, after plunging more than 700 points earlier in the session. The S&P 500 lost 1.4% and the Nasdaq Composite fell 2.3%. US Treasury yields fell.
gdbserver. gdbserver is a computer program that makes it possible to remotely debug other programs. [1] Running on the same system as the program to be debugged, it allows the GNU Debugger to connect from another system; that is, only the executable to be debugged needs to be resident on the target system ("target"), while the source code and a ...
PyPy. PyPy ( / ˈpaɪpaɪ /) is an implementation of the Python programming language. [ 2] PyPy often runs faster than the standard implementation CPython because PyPy uses a just-in-time compiler. [ 3] Most Python code runs well on PyPy except for code that depends on CPython extensions, which either does not work or incurs some overhead when ...