You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+7-32Lines changed: 7 additions & 32 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -6,33 +6,8 @@ For a detailed understanding of these projects, you can refer to the comprehensi
6
6
7
7
In addition to these projects, I regularly share my insights and learnings on the Medium platform. You can access my articles [here](https://medium.com/@morihosseini/).
8
8
9
-
**Please note:** The projects listed below are organized alphabetically for your convenience.
10
-
11
-
<details>
12
-
<summary><strong>Table of contents</strong></summary>
> The projects listed below are organized alphabetically for your convenience.
36
11
37
12
## :rotating_light: Anomaly Detection
38
13
@@ -50,20 +25,20 @@ In addition to these projects, I regularly share my insights and learnings on th
50
25
51
26
-[TOML vs. YAML](configuration/yaml-vs-toml.ipynb): Choosing the right configuration format for your projects.
52
27
53
-
## Data Formats
28
+
## :file_folder:Data Formats
54
29
55
-
- Top 5 Formats: The top 5 structured data formats for data science.
56
-
- TOON: Token-efficient, human-readable serialization format optimized for LLM contexts.
30
+
-[Top 5 Formats](website/docs/format/structured-formats.md): Top 5 structured data formats for data science.
31
+
-[TOON](website/docs/format/toon.md): Token-efficient, human-readable serialization format optimized for LLM contexts.
57
32
58
-
## 🧩 Data Structures
33
+
## :jigsaw: Data Structures
59
34
60
35
-[Sorting Algorithms](data-structure/sorting-popular.ipynb): A comprehensive guide to understanding and implementing popular sorting algorithms in Python.
61
36
-[Understanding Hashing](data-structure/hashing.ipynb): Dive into the world of hashing, its applications, and Python implementation.
62
37
-[Bloom Filter](data-structure/bloom.ipynb): Learn about the Bloom filter data structure and its applications.
63
38
64
39
## :art: Data Visualization
65
40
66
-
- ggplot2: Create visually appealing plots with the R's [ggplot2](https://ggplot2.tidyverse.org/) library.
41
+
-[ggplot2](website/docs/visualization/ggplot2.md): Create visually appealing plots with the R's [ggplot2](https://ggplot2.tidyverse.org/) library.
67
42
-[lets-plot](visualization/lets-plot/codebook.ipynb): Create stunning plots with [lets-plot](https://lets-plot.org/index.html), a Python port of the R's [ggplot2](https://ggplot2.tidyverse.org/) library.
68
43
-[Pitfalls](visualization/pitfalls/pitfalls.ipynb): Avoid common pitfalls in data visualization.
69
44
-[QR Code](visualization/qrcode.ipynb): Generate QR codes with ease.
0 commit comments