python-ultimate-tutorial VS caRtola

Compare python-ultimate-tutorial vs caRtola and see what are their differences.

python-ultimate-tutorial

This repository is the source code of the Python Tutorial Based on the Official Documentation: https://youtu.be/ne4Xsoe5Br8 (by aminblm)
Python Workshop full-course python-tutorial jupyter-notebook
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caRtola

Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-22. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-22. (by henriquepgomide)
cartola R Python Data dados Data Science Shiny jupyter-notebook
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InfluxDB - Power Real-Time Data Analytics at Scale
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python-ultimate-tutorial caRtola
3 1
24 438
- -
0.0 0.0
almost 3 years ago 5 months ago
HTML HTML
- MIT License
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python-ultimate-tutorial

Posts with mentions or reviews of python-ultimate-tutorial. We have used some of these posts to build our list of alternatives and similar projects.

caRtola

Posts with mentions or reviews of caRtola. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing python-ultimate-tutorial and caRtola you can also consider the following projects:

textract - extract text from any document. no muss. no fuss.

NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.

talks - Talks at Python Delhi User Group!

vembedr - Functions to Embed Video in HTML

DGE_workshop

surveydown - An attempt to build a markdown-based survey platform using Quarto & Shiny

tech-diff - Compare different technologies. No BS and all sources linked.

datasciencecoursera - Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

FielDHub - FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially replicated (p-rep) designs applied to agriculture, plant breeding, forestry, animal and biological sciences.

sololearn - Compilation of all SoloLearn courses with their respective projects and practices and all 72 code challenges for all 7 supported languages.

python-ultimate-tutorial vs textract caRtola vs NBA-attendance-prediction python-ultimate-tutorial vs talks caRtola vs vembedr python-ultimate-tutorial vs DGE_workshop caRtola vs surveydown caRtola vs tech-diff caRtola vs datasciencecoursera caRtola vs FielDHub caRtola vs sololearn