
206
00DH
412.00 DH
-50%
Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly))
Livraison
DétailsFrais de livraison à partir de :
Livraison entre le Vendredi 24 juillet 2026 et le Samedi 25 juillet 2026
À propos de cet article :
Marque : GENERIC
Vendu par HEAVENBOOKS.MA
Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. Youâ??ll find concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. The handy index lets you pinpo...
Partagez ce produit
1
Mode de paiement
Paiement par carte bancaire
Carte marocainesPaiement à la livraison
Paiement en espèce à la livraison
Politique de retours
Note de politique de retour
Description produit
- Marque
- GENERIC
- Titre
- Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly))
- Éditeur
- O'Reilly Media
- Type de produit
- paperback
- Présentation du livre
- paperback
- Date de sortie
- 3/11/2014 12:00:00 AM
- Langue d'origine
- English
- ISBN
- 1449357016
- Dimensions
- 4.25 x 0.5 x 7 inches
- Nombre de pages
- 262 pages
- Langue
- English
- Résumé
- Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. Youâ??ll find concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. The handy index lets you pinpoint exactly what you need. Written by Mark Lutzâ??widely recognized as the worldâ??s leading Python trainerâ??Python Pocket Reference is an ideal companion to Oâ??Reillyâ??s classic Python tutorials, Learning Python and Programming Python, also written by Mark. This fifth edition covers: Built-in object types, including numbers, lists, dictionaries, and more Statements and syntax for creating and processing objects Functions and modules for structuring and reusing code Pythonâ??s object-oriented programming tools Built-in functions, exceptions, and attributes Special operator overloading methods Widely used standard library modules and extensions Command-line options and development tools Python idioms and hints The Python SQL Database API Read more
- Auteur
- Mark Lutz
- Date de parution
- 3/11/2014 12:00:00 AM









