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Automate Tasks With Python & Building a Small Search Engine

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Manage episode 403987583 series 2637014
Kandungan disediakan oleh Real Python. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Real Python atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

What are the typical computer tasks you do manually every week? Could you automate those tasks with a Python script? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

We discuss a recent Hacker News thread about frequently used automation scripts. We share the kinds of tasks we’ve automated with Python in our work and personal lives.

Christopher shares a tutorial about building a micro-search engine from scratch using Python. The post takes you through coding the components of a crawler, index, and ranker. The finished engine is designed to search the posts of the blogs you follow.

We also share several other articles and projects from the Python community, including a news roundup, how a Polars query works under the hood, using Python for data analysis, understanding open-source licensing, summarizing the significant changes between Python versions, a robust TUI hex editor, and a lightweight dataframe library with a universal interface for data wrangling.

This week’s episode is brought to you by Intel.

Course Spotlight: Building Command Line Interfaces With argparse

In this step-by-step Python video course, you’ll learn how to take your command line Python scripts to the next level by adding a convenient command line interface that you can write with argparse.

Topics:

  • 00:00:00 – Introduction
  • 00:02:23 – uv: Python Packaging in Rust
  • 00:02:43 – Rye Grows With uv
  • 00:03:20 – Python 3.13.0 Alpha 4 Is Now Available
  • 00:03:45 – A Bird’s Eye View of Polars
  • 00:07:28 – Polars: Why We Have Rewritten the String Data Type
  • 00:09:33 – A Search Engine in 80 Lines of Python
  • 00:13:14 – Using Python for Data Analysis
  • 00:18:22 – Sponsor: Intel
  • 00:18:53 – Understanding Open Source Licensing
  • 00:21:54 – Summary of Major Changes Between Python Versions
  • 00:23:19 – What Python automation scripts do you reuse frequently at work?
  • 00:34:21 – Video Course Spotlight
  • 00:35:52 – hexabyte: A modern, modular, and robust TUI hex editor
  • 00:39:56 – ibis: The Flexibility of Python With the Scale of Modern SQL
  • 00:43:31 – Thanks and goodbye

News:

Show Links:

  • A Bird’s Eye View of Polars – This post on the Polars blog introduces you to how Polars works, showing the steps from queries, plans, optimizations, and then the final execution.
  • Polars: Why We Have Rewritten the String Data Type – A large refactor on the string data type is underway in Polars. This deep dive explains why and what is changing.
  • A Search Engine in 80 Lines of Python – In this post Alex explains how he built a micro-search engine from scratch using Python. The resulting search engine is used to search in the posts of the blogs he follows.
  • Using Python for Data Analysis – In this tutorial, you’ll learn the importance of having a structured data analysis workflow, and you’ll get the opportunity to practice using Python for data analysis while following a common workflow process.
  • Understanding Open Source Licensing – This article discusses the importance of open-source licensing in software development and its implications for stakeholders.
  • Summary of Major Changes Between Python Versions – This article is a quick reference covering the major changes introduced with each new version of Python. Can’t remember when the walrus operator was introduced? This is the place to look that up.

Discussion:

Projects

Additional Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

227 episod

Artwork
iconKongsi
 
Manage episode 403987583 series 2637014
Kandungan disediakan oleh Real Python. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Real Python atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

What are the typical computer tasks you do manually every week? Could you automate those tasks with a Python script? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

We discuss a recent Hacker News thread about frequently used automation scripts. We share the kinds of tasks we’ve automated with Python in our work and personal lives.

Christopher shares a tutorial about building a micro-search engine from scratch using Python. The post takes you through coding the components of a crawler, index, and ranker. The finished engine is designed to search the posts of the blogs you follow.

We also share several other articles and projects from the Python community, including a news roundup, how a Polars query works under the hood, using Python for data analysis, understanding open-source licensing, summarizing the significant changes between Python versions, a robust TUI hex editor, and a lightweight dataframe library with a universal interface for data wrangling.

This week’s episode is brought to you by Intel.

Course Spotlight: Building Command Line Interfaces With argparse

In this step-by-step Python video course, you’ll learn how to take your command line Python scripts to the next level by adding a convenient command line interface that you can write with argparse.

Topics:

  • 00:00:00 – Introduction
  • 00:02:23 – uv: Python Packaging in Rust
  • 00:02:43 – Rye Grows With uv
  • 00:03:20 – Python 3.13.0 Alpha 4 Is Now Available
  • 00:03:45 – A Bird’s Eye View of Polars
  • 00:07:28 – Polars: Why We Have Rewritten the String Data Type
  • 00:09:33 – A Search Engine in 80 Lines of Python
  • 00:13:14 – Using Python for Data Analysis
  • 00:18:22 – Sponsor: Intel
  • 00:18:53 – Understanding Open Source Licensing
  • 00:21:54 – Summary of Major Changes Between Python Versions
  • 00:23:19 – What Python automation scripts do you reuse frequently at work?
  • 00:34:21 – Video Course Spotlight
  • 00:35:52 – hexabyte: A modern, modular, and robust TUI hex editor
  • 00:39:56 – ibis: The Flexibility of Python With the Scale of Modern SQL
  • 00:43:31 – Thanks and goodbye

News:

Show Links:

  • A Bird’s Eye View of Polars – This post on the Polars blog introduces you to how Polars works, showing the steps from queries, plans, optimizations, and then the final execution.
  • Polars: Why We Have Rewritten the String Data Type – A large refactor on the string data type is underway in Polars. This deep dive explains why and what is changing.
  • A Search Engine in 80 Lines of Python – In this post Alex explains how he built a micro-search engine from scratch using Python. The resulting search engine is used to search in the posts of the blogs he follows.
  • Using Python for Data Analysis – In this tutorial, you’ll learn the importance of having a structured data analysis workflow, and you’ll get the opportunity to practice using Python for data analysis while following a common workflow process.
  • Understanding Open Source Licensing – This article discusses the importance of open-source licensing in software development and its implications for stakeholders.
  • Summary of Major Changes Between Python Versions – This article is a quick reference covering the major changes introduced with each new version of Python. Can’t remember when the walrus operator was introduced? This is the place to look that up.

Discussion:

Projects

Additional Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

227 episod

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