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I am trying to install Pandas with pip, but ran into to a problem. Here are the details: Mac OS Sierra which python = /usr/bin/python python -version = Python 2.7.10 Inside '/System/Library/. Xlwings comes pre-installed with Anaconda.If you are new to Python or have troubles installing xlwings, Anaconda is highly recommended. Otherwise you can also install it manually with pip.
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Data readers extracted from the pandas codebase,should be compatible with recent pandas versions
Project description
Up to date remote data access for pandas, works for multiple versions of pandas.
Usage
Documentation
Stable documentationis available ongithub.io.A second copy of the stable documentation is hosted onread the docs for more details.
Development documentationis available for the latest changes in master.
Requirements
Using pandas datareader requires the following packages:
Install Pandas For Python 3
- pandas>=0.23
- lxml
- requests>=2.19.0
Building the documentation additionally requires:
- matplotlib
- ipython
- requests_cache
- sphinx
- pydata_sphinx_theme
Development and testing additionally requires:
- black
- coverage
- codecov
- coveralls
- flake8
- pytest
- pytest-cov
- wrapt
Project details
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- Keras Tutorial
- Keras Useful Resources
- Selected Reading
This chapter explains about how to install Keras on your machine. Before moving to installation, let us go through the basic requirements of Keras.
Prerequisites
You must satisfy the following requirements −
- Any kind of OS (Windows, Linux or Mac)
- Python version 3.5 or higher.
Python
Keras is python based neural network library so python must be installed on your machine. If python is properly installed on your machine, then open your terminal and type python, you could see the response similar as specified below,
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As of now the latest version is ‘3.7.2’. If Python is not installed, then visit the official python link - www.python.org and download the latest version based on your OS and install it immediately on your system.
Keras Installation Steps
Keras installation is quite easy. Follow below steps to properly install Keras on your system.
Step 1: Create virtual environment
Virtualenv is used to manage Python packages for different projects. This will be helpful to avoid breaking the packages installed in the other environments. So, it is always recommended to use a virtual environment while developing Python applications.
Linux/Mac OS
Linux or mac OS users, go to your project root directory and type the below command to create virtual environment,
After executing the above command, “kerasenv” directory is created with bin,lib and include folders in your installation location.
Windows
Windows user can use the below command,
Step 2: Activate the environment
This step will configure python and pip executables in your shell path.
Linux/Mac OS
Now we have created a virtual environment named “kerasvenv”. Move to the folder and type the below command,
Windows
Windows users move inside the “kerasenv” folder and type the below command,
Step 3: Python libraries
Keras depends on the following python libraries.
- Numpy
- Pandas
- Scikit-learn
- Matplotlib
- Scipy
- Seaborn
Hopefully, you have installed all the above libraries on your system. If these libraries are not installed, then use the below command to install one by one.
numpy
you could see the following response,
pandas
We could see the following response,
matplotlib
We could see the following response,
scipy
We could see the following response,
scikit-learn
It is an open source machine learning library. It is used for classification, regression and clustering algorithms. Before moving to the installation, it requires the following −
- Python version 3.5 or higher
- NumPy version 1.11.0 or higher
- SciPy version 0.17.0 or higher
- joblib 0.11 or higher.
Now, we install scikit-learn using the below command −
Seaborn
Seaborn is an amazing library that allows you to easily visualize your data. Use the below command to install −
You could see the message similar as specified below −
Keras Installation Using Python
As of now, we have completed basic requirements for the installtion of Kera. Now, install the Keras using same procedure as specified below −
Quit virtual environment
After finishing all your changes in your project, then simply run the below command to quit the environment −
Anaconda Cloud
We believe that you have installed anaconda cloud on your machine. If anaconda is not installed, then visit the official link, www.anaconda.com/distribution and choose download based on your OS.
Create a new conda environment
Launch anaconda prompt, this will open base Anaconda environment. Let us create a new conda environment. This process is similar to virtualenv. Type the below command in your conda terminal −
If you want, you can create and install modules using GPU also. In this tutorial, we follow CPU instructions.
Activate conda environment
To activate the environment, use the below command −
Install spyder
Spyder is an IDE for executing python applications. Let us install this IDE in our conda environment using the below command −
Install python libraries
We have already known the python libraries numpy, pandas, etc., needed for keras. You can install all the modules by using the below syntax −
Syntax
Python 3.8 Mac
For example, you want to install pandas −
Like the same method, try it yourself to install the remaining modules.
Install Keras
Now, everything looks good so you can start keras installation using the below command −
Launch spyder
Finally, launch spyder in your conda terminal using the below command −
To ensure everything was installed correctly, import all the modules, it will add everything and if anything went wrong, you will get module not found error message.