Skip to main content

CondaValueError: Value error: invalid package specification

Recently I was trying to create Conda Environment and wanted to install Tensorflow but i have faced some issue , so i have done some research and done trouble shooting related to that . Here am going to share how to trouble shoot if you are getting Conda Value error while creating Conda environment and install tensorflow
.


  1. Open Anaconda Prompt (as administrator if it was installed for all users)
  2. Run conda update conda
  3. Run the installer again
Make sure all pkg are updated:





Launch the console from Anaconda Navigator and
conda create -n mypython python=3.6.8

After Installing Conda environment please active the conda now : conda activate mypython
once conda environment has been activated kindly install tensorflow 2.0 by using this command pip install tensorflow==2.0.0




once Tensorflow has been successfully install kindly run the command : pip show tensorflow
Try to Run Comman PIP Install Jupyter lab and after installing launch the console and open Jupyter notebook
Happy Learning...!!

Labels:

Comments

  1. prashant9 February 2020 at 09:29

    Thanks Anand its really help and guide me solve very similar issue.

    ReplyDelete

Post a Comment

Popular posts from this blog

Differentiate between univariate, bivariate and multivariate analysis.

Univariate analysis are descriptive statistical analysis techniques which can be differentiated based on one variable involved at a given point of time. For example, the pie charts of sales based on territory involve only one variable and can the analysis can be referred to as univariate analysis. The bivariate analysis attempts to understand the difference between two variables at a time as in a scatterplot. For example, analyzing the volume of sale and spending can be considered as an example of bivariate analysis. Multivariate analysis deals with the study of more than two variables to understand the effect of variables on the responses.
Post a Comment
Read more

Data Science Methodology- A complete Overview

The people who work in Data Science and are busy finding the answers for different questions every day comes across the Data Science Methodology. Data Science Methodology indicates the routine for finding solutions to a specific problem. This is a cyclic process that undergoes a critic behaviour guiding business analysts and data scientists to act accordingly. Business Understanding: Before solving any problem in the Business domain it needs to be understood properly. Business understanding forms a concrete base, which further leads to easy resolution of queries. We should have the clarity of what is the exact problem we are going to solve. Analytic Understanding: Based on the above business understanding one should decide the analytical approach to follow. The approaches can be of 4 types: Descriptive approach (current status and information provided), Diagnostic approach(a.k.a statistical analysis, what is happening and why it is happening), Predictive approach(it forecasts on...
Post a Comment
Read more