Description:

Discover how to supercharge your Python development workflows through automation and custom libraries. This session will showcase practical examples and case studies using devdock, pyreveal, ezkernel, djangowiz, and other tools. Learn how to streamline your processes and eliminate repetitive tasks, making your development more efficient and enjoyable.

Devdock: This tool simplifies the setup and management of development environments. By using devdock, developers can quickly create consistent and reproducible environments, which helps in reducing the "it works on my machine" problem. It automates the configuration of dependencies and environment variables, making it easier for teams to collaborate and ensure that applications run smoothly across different systems.

Pyreveal: Pyreveal is designed to streamline the creation of presentations using Reveal.js. It allows developers to generate slides programmatically with Python, making it easier to create and maintain presentations directly from their codebase. This can be particularly useful for technical talks, where the presentation content can be dynamically generated from the latest data or code examples.

Ezkernel: This library simplifies the management of Jupyter kernels. Ezkernel provides a command-line interface to create, manage, and switch between Jupyter kernels easily. This is particularly useful for data scientists and researchers who work with multiple projects and need to manage different environments and dependencies for their Jupyter notebooks.

Djangowiz: Djangowiz automates key components of Django projects. It helps developers save time by automating repetitive tasks such as setting up Django applications, configuring settings, and generating boilerplate code. This tool can significantly speed up the initial setup and ongoing development of Django projects, allowing developers to focus on building features rather than handling mundane setup tasks.

Prerequisites:

• Attendees should have a basic understanding of Python and experience with development workflows. Familiarity with Django and Jupyter notebooks is beneficial but not required

Content URLs:

• pyreveal repo
• DjangoWiz repo
• devdock repo
• ezkernel repo

Speaker Info:

I am Ali Tavallaie, a passionate Python developer with extensive experience in software engineering, automation, and MLOps. As a core member of TehPug, a vibrant community dedicated to fostering knowledge sharing among Python enthusiasts in Tehran, I am deeply involved in organizing events, workshops, and meetups to promote Python learning and collaboration. My expertise spans across software engineering and MLOps, where I focus on integrating machine learning models into operational workflows, optimizing performance, and ensuring scalable deployment. This combination of skills allows me to create robust and efficient systems that streamline development and operational processes.

Speaker Links:

• personal blog

• github

• personal page on python wiki