edits

episodes/1_intoduction_python_packaging.md

@@ -33,13 +33,10 @@ Software development is a creative pursuit, and it is satisfying to write code t
 
 By packaging code, you address several important challenges, including ensuring reproducibility, achieving cross-platform compatibility, and supporting multiple environments. Distributing code as a package offers many advantages over merely sharing source files, for example via GitHub:
 
-Dependency management: A package can explicitly declare its dependencies. Tools such as pip (or uv) can then automatically install them for the user.
-
-Versioning: You may version your package and distribute multiple versions, thereby supporting backwards compatibility.
-
-Standardisation: Packaging is the established method of distributing code via recognised repositories such as PyPI.
-
-Metadata: Packages include project-specific metadata, which is essential for end users.
+- Dependency management: A package can explicitly declare its dependencies. Tools such as pip (or uv) can then automatically install them for the user.
+- Versioning: You may version your package and distribute multiple versions, thereby supporting backwards compatibility.
+- Standardisation: Packaging is the established method of distributing code via recognised repositories such as PyPI.
+- Metadata: Packages include project-specific metadata, which is essential for end users.
 
 ## Python Package Structure Hierarchy
 
@@ -67,7 +64,7 @@ Metadata: Packages include project-specific metadata, which is essential for end
 Any .py files (modules) or directories with __init__.py (packages) can be packaged.
 
 
-## What Is __init__.Py File in Python?
+## What Is __init__.py File in Python?
 The __init__.py file is a Python file that is executed when a package is imported.
 It serves two main purposes:
 
@@ -78,7 +75,7 @@ It serves two main purposes:
 
 ## What is PyPI
 
-PyPI is the repository where all released Python packages are made available for end users. You may explore it here: [PyPI](https://pypi.org/). 
+[PyPI](https://pypi.org/) is the repository where all released Python packages are made available for end users.
 There is also [TestPyPI](https://test.pypi.org/), a repository which allows us to experiment with distribution tools and procedures without affecting the live PyPI. In this course, we will publish our package to TestPyPI.
 
 ## What is a Build ?

episodes/2_why_pixi.md

@@ -26,10 +26,10 @@ Pixi is a fast, modern and reproducible package management tool. It has lots of
 
 Key features include:
 
-- **Support for both PyPI and Conda packages** : enabling flexibility in sourcing dependencies.
-- **Performance** :lightweight and modern, designed for speed.
-- **Multi-language dependency management** : e.g. Python with Rust, or Python with C/C++.
-- **Integration with `uv`** : leveraging a high-performance package installer.
+- **Support for both PyPI and Conda packages**: enabling flexibility in sourcing dependencies.
+- **Performance**: lightweight and modern, designed for speed.
+- **Multi-language dependency management**: e.g. Python with Rust, or Python with C/C++.
+- **Integration with `uv`**: leveraging a high-performance package installer.
 - **Reproducibility**: guaranteed through the use of `pixi.lock`.
 - **Configuration via TOML files**: supports both `pixi.toml` and `pyproject.toml`.
 
@@ -44,9 +44,10 @@ Pixi allows you to define dependencies for specific operating systems (e.g. Wind
 
 ## pyproject.toml
 For this demo, we will mainly focus on `pyproject.toml` file.
-We make this choice due to following specifications and recomendations : [PEP 621](https://peps.python.org/pep-0621/), [PEP 517](https://peps.python.org/pep-0517/), and [PEP 660](https://peps.python.org/pep-0660/)
+We make this choice due to following specifications and recomendations : [PEP 621](https://peps.python.org/pep-0621/), [PEP 517](https://peps.python.org/pep-0517/), and [PEP 660](https://peps.python.org/pep-0660/).
+
+You can also read at these links: 
 
-You can also read at these links : 
 - https://pixi.sh/v0.40.1/reference/pixi_manifest/#pypi-dependencies
 - https://pixi.sh/v0.40.1/advanced/pyproject_toml/
 

episodes/3_project_structure.md

@@ -75,7 +75,7 @@ greet_me = { path = ".", editable = true }
 [tool.pixi.tasks]
 ```
 
-To add libraries via Pixi:
+To add libraries via Pixi use the `pixi add` command. Add the `requests` library:
 ```bash
 pixi add requests
 ```
@@ -111,13 +111,15 @@ Added these as pypi-dependencies.
 Check the `pyproject.toml` file. These get added under the `[project]` section 
 ```toml
 [project]
+authors = [{name = "Priyanka Demo", email = "[email protected]"}]
 dependencies = ["requests>=2.32.5,<3"]
 name = "greet_me"
 ```
-Please note : this wont create a problem when uploading the build but can create problems, when installing the builds.
+Please note: this won't create a problem when uploading the build but can create problems when installing the builds.
 So best to keep it empty for now and move this to `[tool.pixi.pypi-dependencies]` section , for all projects which need to come from via PyPI namely **build** and **twine** which are used to create and upload build respectively.
 ```toml
 [project]
+authors = [{name = "Priyanka Demo", email = "[email protected]"}]
 dependencies = []
 name = "greet_me"
 ...
@@ -173,9 +175,11 @@ def greet_sad():
 The overall project structure should then resemble:
 ```
 greet_me/
+├── .pixi
+├── .gitattributes
+├── .gitignore
 ├── LICENSE
 ├── pyproject.toml
-├── README.md
 ├── pixi.lock         # auto-generated, do not edit
 └── src/greet_me/
     ├── __init__.py
@@ -187,7 +191,7 @@ greet_me/
 
 ## Running a Task
 
-Task is a command alias that you can execute easily via the CLI (e.g., pixi run <task-name>). 
+`task` is a command alias that you can execute easily via the CLI (e.g., pixi run task-name). 
 
 Run the following command to add a task and observe the changes in `pyproject.toml` file:
 ```bash
@@ -215,6 +219,6 @@ You can read more about tasks [here](https://pixi.sh/dev/workspace/advanced_task
 - Follow the appropriate folder structure.
 - Always include the `__init__.py` file in packages.
 - Sequence of Pixi commands: **init** → **add** → **run** → **lock** → **install** → **update**.
-- Define / check `[project]`, `[dependencies]` and `[tasks]` in your `pyproject.toml` file .
+- Define / check `[project]`, `[dependencies]` and `[tasks]` in your `pyproject.toml` file.
 
 ::::::::::::::::::::::::::::::::::::::::::::::::

episodes/4_project_metadata.md

@@ -27,7 +27,7 @@ Please note, for projects managed with Pixi, either `pyproject.toml` or `pixi.to
 
 This section of a `pyproject.toml` file informs packaging tools such as `pip` which software is required to build your project. It specifies the **build backend** responsible for producing distributable packages such as wheels (`.whl`) or source distributions (`.sdist`).
 
-This section was introduced by **[PEP 518]**(https://peps.python.org/pep-0518/) and is essential for modern Python packaging.
+This section was introduced by **[PEP 518](https://peps.python.org/pep-0518/)** and is essential for modern Python packaging.
 It has two main keys:
 
 1. `requires`: A list of packages required to build the project. These are downloaded and installed into a temporary, isolated environment prior to the build process. The build backend itself must also be listed here.

index.md

@@ -18,7 +18,7 @@ It is a roughly 2 hour course.
 - Structure a Python project following modern best practices.
 - Define clear and complete project metadata in pyproject.toml / pixi.toml.
 - Manage dependencies and lockfiles using Pixi to ensure consistent environments.
-- Build source and wheel distributions of a Python package..
+- Build source and wheel distributions of a Python package.
 - Publish a package to Test Python Package Index (TestPyPI) using Twine.
 - Install a package from TestPyPI using pip.
 

learners/setup.md

@@ -28,17 +28,17 @@ Your Codespace environment will be **Linux-based**, so we will be using standard
 
 :::::::::::::::::::::::::::::::::::::::::::::::::::
 
-## Create a repository 
+### Create a repository 
 
-- Log into [GitHub](https://github.com) and create a new repository for this lesson called `greet_me` and add a Licence File when creating the repository.
+- Log into [GitHub](https://github.com) and create a new repository for this lesson called `greet_me` and add a Licence File when creating the repository. In this case it doesn't matter which licence (this is just a practice repo) - we just need something to initialise the repo, and a licence to satisfy the TestPyPI requirements.
 
 - From the repository page, open the **Code** dropdown menu, select the **Codespaces** tab, and click **Create codespace on main**.
 
 <img width="416" height="353" alt="image" src="https://github.com/user-attachments/assets/15167dca-b8c3-4701-87ac-3d6cb2b1022b" />
 
+If you get an error (e.g. "Oh no, it looks like you are offline!") try a different browser or incognito mode.
+
  - Once your Codespace has been created, open the terminal inside it and run the following commands.
-
-:::::::::::::::: spoiler
 
 ### Install Pixi
 
@@ -71,5 +71,4 @@ pixi --version
 ```output
 pixi 0.57.0
 ```
-::::::::::::::::::::::::