Beginning data analysis with Python and Jupyter : use powerful industry-standard tools to unlock new, actionable insight from your existing data /
Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. About This Book Get up and running with the Jupyter ecosystem and some example datasets Learn abou...
Cote: | Libro Electrónico |
---|---|
Auteur principal: | Galea, Alex (Auteur) |
Format: | Électronique eBook |
Langue: | Inglés |
Publié: |
Birmingham, UK :
Packt Publishing,
2018.
|
Sujets: | |
Accès en ligne: | Texto completo (Requiere registro previo con correo institucional) |
Documents similaires
-
Data wrangling with Python : creating actionable data from raw sources /
par: Sarkar, Tirthajyoti, et autres
Publié: (2019) -
Data wrangling with Python : creating actionable data from raw sources /
par: Sarkar, Tirthajyoti, et autres
Publié: (2019) -
Data science with Python and Dask /
par: Daniel, Jesse C.
Publié: (2019) -
Learning Jupyter 5 : explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab /
par: Toomey, Dan
Publié: (2018) -
Learning Jupyter 5 : explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab /
par: Toomey, Dan
Publié: (2018)