Clean Code in Python Clean Code in Python
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Clean Code in Python Clean Code in Python
Clean Code in PythonRefactor your legacy code baseBy Mariano AnayaWWW.packt.comClean Code in PythonRefactor your legacy code baseMariano AnayaPackt>BI Clean Code in Python Clean Code in PythonIRMINGHAM - MUMBAIClean Code in PythonCopyright © 2018 Packt PublishingAll rights reserved. No pari oi this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations Clean Code in Python Clean Code in Pythonembedded in critical articles or reviews.Ever} effort lias been made ill the preparation of tills book to ensure the accuracy of the uifcmnatioii presClean Code in Python Clean Code in Python
ented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publisỉũng oClean Code in PythonRefactor your legacy code baseBy Mariano AnayaWWW.packt.comClean Code in PythonRefactor your legacy code baseMariano AnayaPackt>BI Clean Code in Python Clean Code in Pythonublisldng lias endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use ol capitals. However, Pack! Publishing cannot guarantee the accuracy of tlứs iiữoruiation.Commissioning Editor: Merint MathewAcquisition Editor Denim Pinto Clean Code in Python Clean Code in PythonContent Development Editor: Priyanka SawanlTechnical Editor Caurav GalaCopy Editor: Satis EditingProject Coordinator Vaidelii SawantProofreader: SalisClean Code in Python Clean Code in Python
EditingIndexer Rcklia NairGraphics: Jason MonteiroProduction Coordinator. Shanlanu /agadeEirsi published: August 2018Production reference: 1270818PubClean Code in PythonRefactor your legacy code baseBy Mariano AnayaWWW.packt.comClean Code in PythonRefactor your legacy code baseMariano AnayaPackt>BI Clean Code in Python Clean Code in Pythonheir unconditional love and support..Mariano AnayaywMaptinapt. ioMapt is an online digital library- that gives you full access to over 5,000 books and videos, as well as industry leading tools to help you plan your personal development and advance your career 1 or more information, please visit our Clean Code in Python Clean Code in Pythonwebsite.Why subscribe?Clean Code in PythonRefactor your legacy code baseBy Mariano AnayaWWW.packt.comClean Code in PythonRefactor your legacy code baseMariano AnayaPackt>BIClean Code in PythonRefactor your legacy code baseBy Mariano AnayaWWW.packt.comClean Code in PythonRefactor your legacy code baseMariano AnayaPackt>BIGọi ngay
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