Django in Production : Expert tips, strategies, and essential frameworks for writing scalable and maintainable code in Django

You may have got your first Django developer job after a six-week bootcamp or online course, and that’s great, but what’s next? In small companies, mentorship can be hard to come by and gaining the traits of a senior developer without that can take a long time. This is precisely where Django in Production comes into play.

This book will first delve into the true meaning of "good practice" and help you understand the rationale behind industry professionals building websites in specific ways to develop a solid foundation for your Django projects. Next, you will uncover hidden Django secrets through hands-on exploration, leveraging the power of Docker and version control to your advantage. You will gain insights into mastering Git hooks for efficient code maintenance, establishing a robust CI pipeline, and harnessing the capabilities of AWS Beanstalk. These tools will empower you to develop highly scalable products—an essential skill set for aspiring developers transitioning from junior to senior roles. Later, you will understand the significance of monitoring and be introduced to industry-standard tools utilized by professionals for effective monitoring practices.

By the end of this book, you will have set yourself apart from the crowd, equipped with the knowledge and expertise to thrive as a seasoned Django developer.

Commencez ce livre dès aujourd'hui pour 0 €

  • Accédez à tous les livres de l'app pendant la période d'essai
  • Sans engagement, annulez à tout moment
Essayer gratuitement
Plus de 52 000 personnes ont noté Nextory 5 étoiles sur l'App Store et Google Play.

D'autres ont également lu

Passer la liste
  1. Building Natural Language and LLM Pipelines : Build production-grade RAG, tool contracts, and context engineering with Haystack and LangGraph

    Laura Funderburk

  2. Architecting AI Software Systems : Crafting robust and scalable AI systems for modern software development

    Richard D Avila, Imran Ahmad

  3. LLMs in Enterprise : Design strategies, patterns, and best practices for large language model development

    Ahmed Menshawy, Mahmoud Fahmy

  4. DataRobot : Practical Automation for Enterprise AI

    Richard Johnson

  5. Machine Learning for Algorithmic Trading : Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

    Stefan Jansen

  6. Databricks Certified Data Engineer Associate Study Guide : In-Depth Guidance and Practice

    Derar Alhussein

  7. Snowflake Cookbook : Techniques for building modern cloud data warehousing solutions

    Hamid Mahmood Qureshi, Hammad Sharif

  8. Learn Amazon SageMaker : A guide to building, training, and deploying machine learning models for developers and data scientists

    Julien Simon

  9. Building Data-Driven Applications with LlamaIndex : A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

    Andrei Gheorghiu

  10. Web Development with Django : Learn to build modern web applications with a Python-based framework

    Bharath Chandra K S, Ben Shaw, Saurabh Badhwar, Chris Guest, Andrew Bird

  11. Machine Learning and Generative AI for Marketing : Take your data-driven marketing strategies to the next level using Python

    Nicholas C. Burtch, Yoon Hyup Hwang

  12. A Handbook of Computational Linguistics: Artificial Intelligence in Natural Language Processing


Catégories associées