Comments (2)
Hi Albas99
The book entirely based on the supporting packages installed, and the reader has to tune their python environment using requirement.txt file. For further information you can checkout the materials in Readme.md; Specifically under the subtitle "Software"
Hope this helps
from pythondatasciencehandbook.
Oh, okay. got it.
So either the read should create a python 3.5 based environment or tweak the packages based on their environment.
Thanks for the clarification @SudhanAnnamalai
from pythondatasciencehandbook.
Related Issues (20)
- JupyterHub Error: 403 Forbidden. HOT 1
- Data science and Business Process Management(BPM) HOT 1
- PDSH
- Python HOT 2
- Warning on 04.11 Customizing Matplotlib - Configurations and Stylesheets
- Python for Data Science HOT 4
- 5.3.4 grid.fit(X,y) ;A ValueErrorValueError error occurred HOT 1
- data failed HOT 1
- Figure 2-4. Visualization of NumPy broadcasting
- Links to open in Google Colab are no longer working
- Purpose of Suppressing Out in python HOT 1
- indexes as ordered set - issue in code
- check on 03.05 in notebooks_v1 HOT 1
- inconsistencies between tables and commands in 3.8 line [18]
- gdgdgd
- gdgdsngnd
- gdgndgdn
- Ok
- PythonDataScience
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from pythondatasciencehandbook.