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Python Real-World Projects

Python Real-World Projects

By : Steven F. Lott
4.4 (5)
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Python Real-World Projects

Python Real-World Projects

4.4 (5)
By: Steven F. Lott

Overview of this book

In today's competitive job market, a project portfolio often outshines a traditional resume. Python Real-World Projects empowers you to get to grips with crucial Python concepts while building complete modules and applications. With two dozen meticulously designed projects to explore, this book will help you showcase your Python mastery and refine your skills. Tailored for beginners with a foundational understanding of class definitions, module creation, and Python's inherent data structures, this book is your gateway to programming excellence. You’ll learn how to harness the potential of the standard library and key external projects like JupyterLab, Pydantic, pytest, and requests. You’ll also gain experience with enterprise-oriented methodologies, including unit and acceptance testing, and an agile development approach. Additionally, you’ll dive into the software development lifecycle, starting with a minimum viable product and seamlessly expanding it to add innovative features. By the end of this book, you’ll be armed with a myriad of practical Python projects and all set to accelerate your career as a Python programmer.
Table of Contents (20 chapters)
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19
Index

5.4 Extras

Here are some ideas for the reader to add to this project.

5.4.1 Consider using another database

For example, MySQL or PostgreSQL are good choices. These can be downloaded and installed on a personal computer for non-commercial purposes. The administrative overheads are not overly burdensome.

It is essential to recognize these are rather large, complex tools. For readers new to SQL, there is a lot to learn when trying to install, configure, and use one of these databases.

See https://dev.mysql.com/doc/mysql-getting-started/en/ for some advice on installing and using MySQL.

See https://www.postgresql.org/docs/current/tutorial-start.html for advice on installing and using PostgreSQL.

In some cases, it makes sense to explore using a Docker container to run a database server on a virtual machine. See https://www.packtpub.com/product/docker-for-developers/9781789536058 for more about using Docker as a way to run complex services in isolated environments.

See https://dev.mysql...

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