NL Een Python-klasse is een door de gebruiker gedefinieerde gegevensstructuur, die zijn eigen gegevenselementen en ledenfuncties bevat. Deze zijn toegankelijk en gebruikt door een exemplaar van die klasse te maken.
将 "gegevenselementen en ledenfuncties" 翻译成 英语
显示短语 "gegevenselementen en ledenfuncties" 从 荷兰语 到 英语 的 50 个翻译的 50
gegevenselementen en ledenfuncties 的 荷兰语 到 英语 的翻译
荷兰语
英语
EN A Python class is a user-defined data structure, which holds its own data members and member functions. These can be accessed and used by creating an instance of that class.
| 荷兰语 | 英语 |
|---|---|
| gedefinieerde | defined |
| exemplaar | instance |
| klasse | class |
| python | python |
NL Oplossingen voor gegevenstokenisatie vervangen gevoelige gegevenselementen door niet-gevoelige equivalenten, tokens genaamd, om gegevens te beschermen
EN Data tokenization solutions substitute sensitive data elements with non-sensitive equivalents, called tokens, to protect data
| 荷兰语 | 英语 |
|---|---|
| oplossingen | solutions |
| gevoelige | sensitive |
| genaamd | called |
| gegevens | data |
| niet | tokens |
NL In gevallen waarin gevraagde gegevenselementen niet verplicht of vereist zijn, kunt u ervoor kiezen om de gevraagde gegevens niet te verstrekken zonder enige gevolgen voor de beschikbaarheid of het functioneren van de diensten
EN In cases where requested data elements are not mandatory or required, you may choose not to provide the requested data without any consequences to the availability or the functioning of the Services
| 荷兰语 | 英语 |
|---|---|
| gevallen | cases |
| waarin | where |
| gevraagde | requested |
| kiezen | choose |
| gevolgen | consequences |
| beschikbaarheid | availability |
| functioneren | functioning |
| diensten | services |
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
EN Inferred and Derived Information – we infer and derive data elements by analysing our relationship and transactional information. For example, we may generate propensities, attributes and/or scores for marketing, security or fraud purposes.
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