A small package for Introduction to Programming and Machine Learning Course
Project description
pyEmbedsSSSA Package
Package for Introduction to Programming and Machine Learning in Python
Installing pyEmbedsSSSA
pip install pyembeds-sssa
Course responsible:
- Andrea Vandin, andrea.vandin@santannapisa.it https://www.santannapisa.it/en/andrea-vandin
- Daniele Licari, daniele.licari@santannapisa.it https://www.linkedin.com/in/daniele-licari/
Description:
The course introduces students to programming and data analysis, using python as a reference language.
-
Module 1 Introduces students to the fundamental principles of structured programming with basic applications to data processing
-
Module 2 Introduces the students to the components of typical data analysis processes and machine learning pipelines.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyembeds_sssa-0.0.5.tar.gz.
File metadata
- Download URL: pyembeds_sssa-0.0.5.tar.gz
- Upload date:
- Size: 197.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.6 tqdm/4.62.3 importlib-metadata/4.8.2 keyring/23.0.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8f6cf619b179d7492bde50ae69fa9f93ca7873ca2418c0eba537d371a8338e57
|
|
| MD5 |
0f3fbcf7d9befc6c0cf4f7f32500a831
|
|
| BLAKE2b-256 |
65dcd3d121ef81b1418c98822aada33289abfeaff4fd008e06db03e524d85b40
|
File details
Details for the file pyembeds_sssa-0.0.5-py3-none-any.whl.
File metadata
- Download URL: pyembeds_sssa-0.0.5-py3-none-any.whl
- Upload date:
- Size: 196.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.6 tqdm/4.62.3 importlib-metadata/4.8.2 keyring/23.0.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
804f446df464014f8b39d444b8a0b3dc549f69f23967c5dc7bc1a9705e593bc9
|
|
| MD5 |
6f87be9c37c1c47205fe461b2d50c274
|
|
| BLAKE2b-256 |
674acd357ffe3235af6262affa145ed5c5cc2d181f9edb6f507c0252826029b9
|
