Clean Code in Python : Develop maintainable and efficient code

Clean Code in Python : Develop maintainable and efficient code

Enregistré dans:

Détails bibliographiques
Auteur principal:	Anaya, Mariano. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2021.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Clean code in Python : refactor your legacy code base
par: Anaya, Mariano.
Publié: (2018)

Clean Code in JavaScript : Develop reliable, maintainable, and robust JavaScript
par: Padolsey, James.
Publié: (2020)

Clean Code in PHP : Expert tips and best practices to write beautiful, human-friendly, and maintainable PHP
par: Windler, Carsten.
Publié: (2022)

Clean Code with C# : Refactor your legacy C# code base and improve application performance using best practices
par: Alls, Jason.

Clean code : comment améliorer son code et ses apps ?
par: Pouchelet, Florian.
Publié: (2024)

Python Data Cleaning Cookbook : Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI
par: Walker, Michael.

Get Your Hands Dirty on Clean Architecture : Build 'clean' applications with code examples in Java
par: Hombergs, Tom.

Developments in surface contamination and cleaning.
par: Kohli, Rajiv.
Publié: (2016)

Developments in surface contamination and cleaning.
par: Kohli, Rajiv.
Publié: (2013)

Clean Architecture for Android : Implement Expert-led Design Patterns to Build Scalable, Maintainable, and Testable Android Apps (English Edition)
par: Boudjnah, Eran.
Publié: (2022)

Python Apps on Visual Studio Code : Develop apps and utilize the true potential of Visual Studio Code
par: Saurav, Swapnil.

Visual Studio Code for Python Programmers
par: Speight, April.

Learning concurrency in Python : speed up your Python code with clean, readable, and advanced concurrency techniques
par: Forbes, Elliot.
Publié: (2017)

Clean Android Architecture : Take a layered approach to writing clean, testable, and decoupled Android applications
par: Dumbravan, Alexandru.
Publié: (2022)

Clean coal engineering technology
par: Miller, Bruce G..
Publié: (2016)

Data Cleaning Pocket Primer
par: Campesato, Oswald.

Manuel de clean coaching
par: Pieskiewicz, Bogena.
Publié: (2016)

Python for Developers : Learn to Develop Efficient Programs using Python
par: Raj, Mohit.
Publié: (2019)

Cleaning data for effective data science : doing the other 80% of the work with Python, R, and command-line tools
par: Mertz, David (informaticien).
Publié: (2021)

Handbook of Silicon Wafer Cleaning Technology
par: Reinhardt, Karen A..
Publié: (2018)

Hands-on dependency injection in Go : develop clean Go code that is easier to read, maintain, and test
par: Scott, Corey.
Publié: (2018)

Clean Energy and Resources Recovery : Biomass Waste Based Biorefineries.
par: Tyagi, Vinay Kumar.
Publié: (2021)

1001 codes Python pour la modélisation : spécial prépas
par: Uhl, Lionel, 1977-
Publié: (2014)

Nanotechnology applications for clean water : solutions for improving water quality
par: Street, Anita.
Publié: (2014)

Data Cleaning and Exploration with Machine Learning : Get to grips with machine learning techniques to achieve sparkling-clean data quickly
par: Walker, Michael.
Publié: (2022)

Python essentials : modernize existing Python code and plan code migrations to Python using this definitive guide
par: Lott, Steven F..
Publié: (2015)

Clean Air at What Cost? : The Rise of Blunt Force Regulation in China
par: van der Kamp, Denise Sienli.

Learn Python programming : a beginner's guide to learning the fundamentals of Python language to write efficient, high-quality code
par: Romano, Fabrizio (1975-....).
Publié: (2018)

Data Cleaning with Power BI : The definitive guide to transforming dirty data into actionable insights
par: Frazer, Gus.

Dancing with Python : Learn to code with Python and Quantum Computing
par: Sutor, Robert S..
Publié: (2021)

The Pythonic Way : An Architect's Guide to Conventions and Best Practices for the Design, Development, Testing, and Management of Enterprise Python Code
par: Raj, Sonal.

Squeaky Clean Topology in Blender : Create accurate deformations and optimized geometry for characters and hard surface models
par: Steppig, Michael.

Python for Everyone : Learn and polish your coding skills in Python
par: Saurabh Chandrakar, Nilesh Bhaskarrao Bahadure.

Data clean-up and management : a practical guide for librarians Margaret Hogarth with contributions from Kenneth Furuta.
par: Hogarth, Margaret (19..-....).
Publié: (2012)

Google Gemini for Python : Coding with Bard
par: Campesato, Oswald.

Hands-on software engineering with Python : move beyond basic programming and construct reliable and efficient software with complex code
par: Allbee, Brian.
Publié: (2018)

The Python Workshop : Write Python code to solve challenging real-world problems
par: Wade, Corey.

Supervised Machine Learning with Python : Develop rich Python coding practices while exploring supervised machine learning
par: Smith, Taylor.
Publié: (2019)

Code with Java 21 : A practical approach for building robust and efficient applications
par: Ploetz, Aaron.

Machine Learning with Python : Design and Develop Machine Learning and Deep Learning Technique using real world code examples
par: Vijayvargia, Abhishek.

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1