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Merge branch 'release/new_fonts' into main

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Fundor333
2026-03-29 23:35:36 +02:00
parent 320c955bb2 38bb41a52a
commit 0622c183cf
88 changed files with 935 additions and 1235 deletions
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3
.gitignore vendored
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@@ -189,3 +189,6 @@ build
log_syndication.csv
log_feed.csv
assets/sass/*.css
assets/sass/*.css.map

4
.pre-commit-config.yaml
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@@ -1,12 +1,12 @@
fail_fast: true
repos:
- repo: https://github.com/adamchainz/djade-pre-commit
rev: "1.7.0" # Replace with the latest tag on GitHub
rev: "1.9.0" # Replace with the latest tag on GitHub
hooks:
- id: djade
args: [--target-version, "4.2"] # Replace with Django version
- repo: https://github.com/psf/black
rev: 26.1.0
rev: 26.3.1
hooks:
- id: black
language_version: python3.12

1
archetypes/post.md
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@@ -25,6 +25,7 @@ series:
- Horror stories
- Data and Data Tools
- Python's Reptile Env
- My Home Automation Lab
reply:
repost:
like:

1
assets/sass/_imports.scss Normal file
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@@ -0,0 +1 @@
@import url("https://fonts.googleapis.com/css2?family=Audiowide&family=Rajdhani:wght@300;400;500;600;700&display=swap");

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assets/sass/add.scss
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@@ -1,3 +1,5 @@
@import "_imports";
@import "root";
@import "pride";
@import "comments";
@@ -11,3 +13,4 @@
@import "share-button";
@import "typewriter";
@import "input";
@import "xkcd";

6
assets/sass/menu.scss
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@@ -13,3 +13,9 @@
}
}
}
.menu-link {
font-family: "Audiowide", sans-serif;
font-weight: 400;
font-style: normal;
}

21
assets/sass/root.scss
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@@ -27,3 +27,24 @@
--blockquote-background-color: rgb(75 75 75);
}
}
body {
font-family: "Rajdhani", sans-serif;
font-weight: 400;
font-style: normal;
}
h1,
h2,
h3,
h4,
h5,
h6 {
font-family: "Audiowide", sans-serif;
}
strong {
font-family: "Audiowide", sans-serif;
font-weight: 400;
font-size: 14px;
}

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assets/sass/xkcd.scss Normal file
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@@ -0,0 +1,18 @@
.xkcd-image {
display: flex;
justify-content: center;
width: 100%;
}
.xkcd-title {
font-family: "Audiowide", sans-serif;
font-weight: 400;
font-style: normal;
font-size: 1.5em;
}
.xkcd-subtitle {
font-size: 0.8rem;
color: #666;
margin-top: 0.5rem;
}

2
content/micro/2025/07/response-to-response-dnd/index.md
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@@ -12,7 +12,7 @@ repost: null
rsvp: null
tags:
- dnd
- selfhosting
- self-hosting
title: Response to Response Dnd
---

2
content/post/2020/manage-site-and-certificate/index.md
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@@ -19,7 +19,7 @@ After my [other post]({{< relref "post/2020/ssl-check-with-a-script/index.md" >}
We need to check when the domain expire (DNS Lookup), we need to check if the server are up and the SSL certificate. This is a problem because we need to launch the same commands every day for multiple server every day and some time we forgot a domain or a url and we don't check it for days. And if something boom we need to fix it with *zero down time* so we need to do some sysadmin work.
![Sysadmin Devotion](https://imgs.xkcd.com/comics/devotion_to_duty.png)
{{< xkcd 705 >}}
So, for our task, we need :

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content/post/2026/starting-my-home-automation-experiment/index.md Normal file
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@@ -0,0 +1,23 @@
---
title: "Starting My Home Automation Experiment"
date: 2026-03-29T20:46:01+02:00
draft: true
feature_link: "https://www.midjourney.com/home/"
feature_text: "by IA Midjourney"
description: "I am starting a Home Automation in my home and this is how I start it"
tags:
- home-automation
- hacking
- self-hosting
categories:
- tinkering
series:
- My Home Automation Lab
---
And some time ago I installed the Fiber[^1] in my home and I want to use in the best way, so I start to rework all my local network and I think about adding some home automation.
[^1]: I pay a company to install it and clean after.
{{< xkcd 1966 >}}

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content/post/2026/using-pandas-for-getting-data-and-analise-them/index.md Normal file
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@@ -0,0 +1,169 @@
---
date: '2026-03-12T20:00:07+08:00'
title: 'Using Pandas For Getting Data And Analise Them'
feature_link: "https://www.midjourney.com/home/"
feature_text: "by IA Midjourney"
description: 'Using Pandas For Getting Data And Analise Them'
isStarred: false
tags:
- pandas
categories:
- dev
images:
keywords:
series:
- Data and Data Tools
draft: true
---
## The idea
I want to test some of the pandas functionality so I try the import from HTML table for make some data analisys.
So I choose a web page with data in a table (or two in this case)
```python
import matplotlib
import pandas as pd
```
Here we have the basic import for the needed package for the project.
```python
url = "https://www.mangacodex.com/oricon_yearly.php?title_series=&year_series=All&title_volumes=&year_volumes=All"
pd.set_option("display.precision", 2)
```
Some basic config (the log, the url,...) for my little script. I allwayse put at the top of the file for easy edit of them, if needed.
```python
print("Downloading data from the page...")
tables = pd.read_html(url, thousands='.', decimal =',')
print(f"Found {len(tables)} tables on the page.")
df1 = pd.DataFrame(tables[0])
print(type(df1))
df2 = pd.DataFrame(tables[1])
print(type(df2))
```
Downloading data from the page...
Found 2 tables on the page.
<class 'pandas.DataFrame'>
<class 'pandas.DataFrame'>
Starting with the scrape of the page with Pandas. In this case it returnes 2 table in pandas.DataFrame
```python
if len(tables) >= 2:
table_series = tables[0]
table_volumes = tables[1]
else:
print("Error: The page does not contain enough tables.")
raise Error
```
And now we have the two table as pandas Dataframe. Are there some empty data?
```python
print("-*-" * 20)
print("Missing value stats for Series:")
print(table_series.isnull().sum())
print()
print("-*-" * 20)
print("Missing value stats for Volumes:")
print(table_volumes.isnull().sum())
```
-*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*-
Missing value stats for Series:
Ranking 0
Title 0
Sales 0
Year 0
dtype: int64
-*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*--*-
Missing value stats for Volumes:
Ranking 0
Volume 0
Sales 0
Year 0
dtype: int64
## Start the analysis
So we know the data is consistant so we need to know some generic data about this two dataset.
```python
print("-*-")
print(table_series.head())
print(table_series.info(verbose=False))
print()
print("-*-")
print(table_volumes.head())
print(table_volumes.info(verbose=False))
```
-*-
Ranking Title Sales Year
0 1 One Piece #50 1678208 2008
1 2 One Piece #51 1646978 2008
2 3 Nana #19 1645128 2008
3 4 One Piece #49 1544000 2008
4 5 Nana #20 1431335 2008
<class 'pandas.DataFrame'>
RangeIndex: 3413 entries, 0 to 3412
Columns: 4 entries, Ranking to Year
dtypes: int64(3), str(1)
memory usage: 106.8 KB
None
-*-
Ranking Volume Sales Year
0 1 One Piece 5956540 2008
1 2 Naruto 4261054 2008
2 3 20th Century Boys 3710054 2008
3 4 Hitman Reborn! 3371618 2008
4 5 Bleach 3161825 2008
<class 'pandas.DataFrame'>
RangeIndex: 860 entries, 0 to 859
Columns: 4 entries, Ranking to Year
dtypes: int64(3), str(1)
memory usage: 27.0 KB
None
```python
table_series[["Title","Sales","Year"]].plot(title="Manga Series")
```
<Axes: title={'center': 'Manga Series'}>
![png](index_files/output_15_1.png)
```python
```

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layouts/shortcodes/xkcd.html Normal file
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@@ -0,0 +1,17 @@
{{ $id := string (.Get 0) }}
{{ $url := printf "https://xkcd.com/%s/info.0.json" $id }}
{{ with resources.GetRemote $url }}
{{ $data := . | transform.Unmarshal }}
<div class="xkcd-container">
<h4 class="xkcd-title">Xkcd - {{ $data.title }}</h4>
<a href="https://xkcd.com/{{ $id }}/" target="_blank" rel="noopener">
<img src="{{ $data.img }}" alt="{{ $data.alt }}" title="{{ $data.alt }}" class="xkcd-image u-photo">
</a>
<p class="xkcd-subtitle">
<em>{{ $data.alt }}</em>
</p>
</div>
{{ else }}
<p>Impossibile recuperare il fumetto xkcd #{{ $id }}.</p>
{{ end }}

2
notescript/using-pandas-for-getting-data-and-analise-them.sh Executable file
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@@ -0,0 +1,2 @@
#! /bin/bash
uv run hugo_nbconvert content/post/2026/using-pandas-for-getting-data-and-analise-them/index.ipynb

48
package-lock.json generated
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@@ -93,9 +93,9 @@
}
},
"node_modules/baseline-browser-mapping": {
"version": "2.10.0",
"resolved": "https://registry.npmjs.org/baseline-browser-mapping/-/baseline-browser-mapping-2.10.0.tgz",
"integrity": "sha512-lIyg0szRfYbiy67j9KN8IyeD7q7hcmqnJ1ddWmNt19ItGpNN64mnllmxUNFIOdOm6by97jlL6wfpTTJrmnjWAA==",
"version": "2.10.12",
"resolved": "https://registry.npmjs.org/baseline-browser-mapping/-/baseline-browser-mapping-2.10.12.tgz",
"integrity": "sha512-qyq26DxfY4awP2gIRXhhLWfwzwI+N5Nxk6iQi8EFizIaWIjqicQTE4sLnZZVdeKPRcVNoJOkkpfzoIYuvCKaIQ==",
"license": "Apache-2.0",
"bin": {
"baseline-browser-mapping": "dist/cli.cjs"
@@ -162,9 +162,9 @@
}
},
"node_modules/caniuse-lite": {
"version": "1.0.30001774",
"resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001774.tgz",
"integrity": "sha512-DDdwPGz99nmIEv216hKSgLD+D4ikHQHjBC/seF98N9CPqRX4M5mSxT9eTV6oyisnJcuzxtZy4n17yKKQYmYQOA==",
"version": "1.0.30001781",
"resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001781.tgz",
"integrity": "sha512-RdwNCyMsNBftLjW6w01z8bKEvT6e/5tpPVEgtn22TiLGlstHOVecsX2KHFkD5e/vRnIE4EGzpuIODb3mtswtkw==",
"funding": [
{
"type": "opencollective",
@@ -253,9 +253,9 @@
}
},
"node_modules/electron-to-chromium": {
"version": "1.5.302",
"resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.302.tgz",
"integrity": "sha512-sM6HAN2LyK82IyPBpznDRqlTQAtuSaO+ShzFiWTvoMJLHyZ+Y39r8VMfHzwbU8MVBzQ4Wdn85+wlZl2TLGIlwg==",
"version": "1.5.328",
"resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.328.tgz",
"integrity": "sha512-QNQ5l45DzYytThO21403XN3FvK0hOkWDG8viNf6jqS42msJ8I4tGDSpBCgvDRRPnkffafiwAym2X2eHeGD2V0w==",
"license": "ISC"
},
"node_modules/emoji-regex": {
@@ -299,9 +299,9 @@
}
},
"node_modules/fs-extra": {
"version": "11.3.3",
"resolved": "https://registry.npmjs.org/fs-extra/-/fs-extra-11.3.3.tgz",
"integrity": "sha512-VWSRii4t0AFm6ixFFmLLx1t7wS1gh+ckoa84aOeapGum0h+EZd1EhEumSB+ZdDLnEPuucsVB9oB7cxJHap6Afg==",
"version": "11.3.4",
"resolved": "https://registry.npmjs.org/fs-extra/-/fs-extra-11.3.4.tgz",
"integrity": "sha512-CTXd6rk/M3/ULNQj8FBqBWHYBVYybQ3VPBw0xGKFe3tuH7ytT6ACnvzpIQ3UZtB8yvUKC2cXn1a+x+5EVQLovA==",
"license": "MIT",
"dependencies": {
"graceful-fs": "^4.2.0",
@@ -453,9 +453,9 @@
}
},
"node_modules/node-releases": {
"version": "2.0.27",
"resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.27.tgz",
"integrity": "sha512-nmh3lCkYZ3grZvqcCH+fjmQ7X+H0OeZgP40OierEaAptX4XofMh5kwNbWh7lBduUzCcV/8kZ+NDLCwm2iorIlA==",
"version": "2.0.36",
"resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.36.tgz",
"integrity": "sha512-TdC8FSgHz8Mwtw9g5L4gR/Sh9XhSP/0DEkQxfEFXOpiul5IiHgHan2VhYYb6agDSfp4KuvltmGApc8HMgUrIkA==",
"license": "MIT"
},
"node_modules/normalize-path": {
@@ -474,9 +474,9 @@
"license": "ISC"
},
"node_modules/picomatch": {
"version": "2.3.1",
"resolved": "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz",
"integrity": "sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==",
"version": "2.3.2",
"resolved": "https://registry.npmjs.org/picomatch/-/picomatch-2.3.2.tgz",
"integrity": "sha512-V7+vQEJ06Z+c5tSye8S+nHUfI51xoXIXjHQ99cQtKUkQqqO1kO/KCJUfZXuB47h/YBlDhah2H3hdUGXn8ie0oA==",
"license": "MIT",
"engines": {
"node": ">=8.6"
@@ -747,9 +747,9 @@
}
},
"node_modules/tinyglobby/node_modules/picomatch": {
"version": "4.0.3",
"resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.3.tgz",
"integrity": "sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q==",
"version": "4.0.4",
"resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.4.tgz",
"integrity": "sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==",
"license": "MIT",
"engines": {
"node": ">=12"
@@ -836,9 +836,9 @@
}
},
"node_modules/yaml": {
"version": "2.8.2",
"resolved": "https://registry.npmjs.org/yaml/-/yaml-2.8.2.tgz",
"integrity": "sha512-mplynKqc1C2hTVYxd0PU2xQAc22TI1vShAYGksCCfxbn/dFwnHTNi1bvYsBTkhdUNtGIf5xNOg938rrSSYvS9A==",
"version": "2.8.3",
"resolved": "https://registry.npmjs.org/yaml/-/yaml-2.8.3.tgz",
"integrity": "sha512-AvbaCLOO2Otw/lW5bmh9d/WEdcDFdQp2Z2ZUH3pX9U2ihyUY0nvLv7J6TrWowklRGPYbB/IuIMfYgxaCPg5Bpg==",
"license": "ISC",
"bin": {
"yaml": "bin.mjs"

1
pyproject.toml
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@@ -17,6 +17,7 @@ dependencies = [
"typer",
"python-frontmatter",
"bleach",
"matplotlib>=3.10.8",
]
[project.entry-points.dotenv]

40
requirements.txt
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@@ -6,9 +6,9 @@ beautifulsoup4==4.14.3
# via fundor333-github-io
bleach==6.3.0
# via fundor333-github-io
certifi==2026.1.4
certifi==2026.2.25
# via requests
charset-normalizer==3.4.4
charset-normalizer==3.4.6
# via requests
click==8.3.1
# via
@@ -16,27 +16,49 @@ click==8.3.1
# weeknotebot
colorama==0.4.6 ; sys_platform == 'win32'
# via click
contourpy==1.3.3
# via matplotlib
cycler==0.12.1
# via matplotlib
feedparser==6.0.12
# via
# fundor333-github-io
# weeknotebot
fonttools==4.62.1
# via matplotlib
idna==3.11
# via requests
kiwisolver==1.5.0
# via matplotlib
lxml==6.0.2
# via fundor333-github-io
markdown-it-py==4.0.0
# via rich
marshmallow==3.26.2
# via weeknotebot
matplotlib==3.10.8
# via fundor333-github-io
mdurl==0.1.2
# via markdown-it-py
numpy==2.4.4
# via
# contourpy
# matplotlib
packaging==26.0
# via marshmallow
# via
# marshmallow
# matplotlib
pillow==12.1.1
# via fundor333-github-io
pygments==2.19.2
# via
# fundor333-github-io
# matplotlib
pygments==2.20.0
# via rich
python-dotenv==1.2.1
pyparsing==3.3.2
# via matplotlib
python-dateutil==2.9.0.post0
# via matplotlib
python-dotenv==1.2.2
# via fundor333-github-io
python-frontmatter==1.1.0
# via fundor333-github-io
@@ -44,7 +66,7 @@ pyyaml==6.0.3
# via
# fundor333-github-io
# python-frontmatter
requests==2.32.5
requests==2.33.0
# via
# fundor333-github-io
# weeknotebot
@@ -56,9 +78,11 @@ sgmllib3k==1.0.0
# via feedparser
shellingham==1.5.4
# via typer
six==1.17.0
# via python-dateutil
soupsieve==2.8.3
# via beautifulsoup4
typer==0.24.0
typer==0.24.1
# via fundor333-github-io
typing-extensions==4.15.0
# via beautifulsoup4

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resources/_gen/assets/sass/add.scss_b1f9a4817d6232e434ba2b7151a57cb2.json
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@@ -1 +1 @@
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resources/_gen/images/photos/2024/campanile-from-murano-orange/DSCF0196_db8f8025b43fc3e2.json
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@@ -1,40 +1 @@
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"Exif": {
"Date": "2024-08-03T18:13:41+02:00",
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"CreateDate": "2024:08:03 18:13:41",
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