Search results
Results From The WOW.Com Content Network
Salary packaging (also known as salary sacrifice or salary exchange) is the inclusion of employee benefits (also called fringe benefits) in an employee remuneration package in exchange for giving up part of monetary salary. Such arrangements are entered into most commonly if there are tax or other benefits to be derived by the employer or ...
The Bureau of Labor Statistics, [4] like the International Accounting Standards Board, [5] defines employee benefits as forms of indirect expenses. Managers tend to view compensation and benefits in terms of their ability to attract and retain employees, as well as in terms of their ability to motivate them.
Pip's command-line interface allows the install of Python software packages by issuing a command: pip install some-package-name. Users can also remove the package by issuing a command: pip uninstall some-package-name. pip has a feature to manage full lists of packages and corresponding version numbers, possible through a "requirements" file. [14]
Compensation and benefits refer to remuneration to employees from employers. Which is the payments or rewards provided to an individual for the work that has been completed. Compensation is the direct monetary payment received for work performed, commonly known as wages. This is the compensation that employees earn for their work or ...
From Wikipedia, the free encyclopedia. Redirect page
The Python Package Index, abbreviated as PyPI (/ ˌ p aɪ p i ˈ aɪ /) and also known as the Cheese Shop (a reference to the Monty Python's Flying Circus sketch "Cheese Shop"), [2]: 8 [3]: 742 is the official third-party software repository for Python. [4] It is analogous to the CPAN repository for Perl [5]: 36 and to the CRAN repository for R.
Anaconda Cloud is a package management service by Anaconda where users can find, access, store and share public and private notebooks, environments, and Conda and PyPI packages. [52] Cloud hosts useful Python packages, notebooks and environments for a wide variety of applications.
[52] [53] While Python 2.7 and older versions are officially unsupported, a different unofficial Python implementation, PyPy, continues to support Python 2, i.e. "2.7.18+" (plus 3.10), with the plus meaning (at least some) "backported security updates". [54] Python 3.0 was released on 3 December 2008, with some new semantics and changed syntax.