1598135880

Numpy is a powerful mathematical library that can be used as an efficient multi-dimensional container of generic data. Arbitrary data types can be defined. The Numpy library allows seamless and speedy integration with various databases. If you have not installed Numpy, check out the how to install numpy article. After installing, we need to check the version of Numpy.

To **check** a **numpy** **version**, write the **numpy.__version__** code and run the file. It will return the current version of numpy installed on your machine. There are other approaches too that can help you find the numpy version.

- Use the
**pip list**or**pip3 list**command. - From the command line type:
**python3 -c “import numpy; print(numpy.__version__)”** - From command line type:
**pip3 freeze | grep ‘numpy’**or**pip freeze | grep ‘numpy**‘ - From command line type:
**pip3 show nump**y or**pip show numpy**

Create a file called **app.py **and write the following two lines of code inside that file.

```
import numpy
print(numpy.__version__)
```

```
python3 app.py
1.18.3
```

The latest version at the time of writing this tutorial is 1.18.3. Yours might be the oldest or latest, depending on your machine’s installation time.

You can use the following command to list the packages, and if **Numpy** is installed in your system, it will appear with its version. For example, if you are using Python3, then you can use the following command.

`pip3 list`

See the output.

```
pip3 list
numpy 1.18.3
oauthlib 3.1.0
opt-einsum 3.2.1
pandas 1.0.3
pip 20.1
```

If you are using Python 2 or Python, you can use the following command.

`pip list`

We can also print the Numpy version in the command line. Type the following command.

`python3 -c "import numpy; print(numpy.__version__)"`

See the output.

```
python3 -c "import numpy; print(numpy.__version__)"
1.18.3
```

If you are using Python 2.x, you can use the following command.

`python -c "import numpy; print(numpy.__version__)"`

Type the following command.

`pip3 freeze | grep 'numpy'`

See the output.

```
pip3 freeze | grep 'numpy'
numpy==1.18.3
```

If you are using Python 2.x, then use the following command.

`pip freeze | grep 'numpy'`

Type the following command.

`pip3 show numpy`

See the output

```
pip3 show numpy
Name: numpy
Version: 1.18.3
Summary: NumPy is the fundamental package for array computing with Python.
Home-page: https://www.numpy.org
Author: Travis E. Oliphant et al.
Author-email: None
License: BSD
Location: /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages
Requires:
Required-by: tensorflow, tensorboard, opt-einsum, Keras-Preprocessing, h5py, scipy, scikit-learn, pandas, matplotlib
```

To **check** a **numpy** **version** on **Anaconda** **navigator**, use the command **conda list | grep numpy** command.

`conda list | grep numpy`

See the output.

```
conda list | grep numpy
numpy 1.18.1 py37h7241aed_0
numpy-base 1.18.1 py37h6575580_1
numpydoc 0.9.2 py_0
```

All of the above methods are useful for checking the Numpy version on Mac, Linux, and Windows. That’s it.

Originally published by appdividend

#linux #numpy #mac #windows #python

1598135880

Numpy is a powerful mathematical library that can be used as an efficient multi-dimensional container of generic data. Arbitrary data types can be defined. The Numpy library allows seamless and speedy integration with various databases. If you have not installed Numpy, check out the how to install numpy article. After installing, we need to check the version of Numpy.

To **check** a **numpy** **version**, write the **numpy.__version__** code and run the file. It will return the current version of numpy installed on your machine. There are other approaches too that can help you find the numpy version.

- Use the
**pip list**or**pip3 list**command. - From the command line type:
**python3 -c “import numpy; print(numpy.__version__)”** - From command line type:
**pip3 freeze | grep ‘numpy’**or**pip freeze | grep ‘numpy**‘ - From command line type:
**pip3 show nump**y or**pip show numpy**

Create a file called **app.py **and write the following two lines of code inside that file.

```
import numpy
print(numpy.__version__)
```

```
python3 app.py
1.18.3
```

The latest version at the time of writing this tutorial is 1.18.3. Yours might be the oldest or latest, depending on your machine’s installation time.

You can use the following command to list the packages, and if **Numpy** is installed in your system, it will appear with its version. For example, if you are using Python3, then you can use the following command.

`pip3 list`

See the output.

```
pip3 list
numpy 1.18.3
oauthlib 3.1.0
opt-einsum 3.2.1
pandas 1.0.3
pip 20.1
```

If you are using Python 2 or Python, you can use the following command.

`pip list`

We can also print the Numpy version in the command line. Type the following command.

`python3 -c "import numpy; print(numpy.__version__)"`

See the output.

```
python3 -c "import numpy; print(numpy.__version__)"
1.18.3
```

If you are using Python 2.x, you can use the following command.

`python -c "import numpy; print(numpy.__version__)"`

Type the following command.

`pip3 freeze | grep 'numpy'`

See the output.

```
pip3 freeze | grep 'numpy'
numpy==1.18.3
```

If you are using Python 2.x, then use the following command.

`pip freeze | grep 'numpy'`

Type the following command.

`pip3 show numpy`

See the output

```
pip3 show numpy
Name: numpy
Version: 1.18.3
Summary: NumPy is the fundamental package for array computing with Python.
Home-page: https://www.numpy.org
Author: Travis E. Oliphant et al.
Author-email: None
License: BSD
Location: /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages
Requires:
Required-by: tensorflow, tensorboard, opt-einsum, Keras-Preprocessing, h5py, scipy, scikit-learn, pandas, matplotlib
```

To **check** a **numpy** **version** on **Anaconda** **navigator**, use the command **conda list | grep numpy** command.

`conda list | grep numpy`

See the output.

```
conda list | grep numpy
numpy 1.18.1 py37h7241aed_0
numpy-base 1.18.1 py37h6575580_1
numpydoc 0.9.2 py_0
```

All of the above methods are useful for checking the Numpy version on Mac, Linux, and Windows. That’s it.

Originally published by appdividend

#linux #numpy #mac #windows #python

1625108943

**1 - Windows**

Usually when we buy a system, the default OS is Windows. Many times I saw many people who say that Windows is easy. Let me better understand what they mean!

**2 - GNU/Linux**

There is a big thing in the GNU/Linux world called freedom and diversity. Torvalds first wrote Linux and then merged with GNU kernels, something Stallman was working on, and later became GNU/Linux. It can be said that everything runs on GNU/Linux! From car, etc. to computers and…

**3 - Mac**

But the phrase **“Expensive and limited”** does not necessarily mean bad… A Gmail app, a web app, a terminal, and other apps, and a fairly clean desktop (which Apple found works for people). For example, if you want a flower to be on top of the desktop, there is one way: you go to Mac and beg them to put flowers on the desktop.

#linux #windows #mac #gnu/linux #operating systems

1591631100

NumPy is a library for the Python language, adding the support for large, multi-dimensional arrays and matrices, along with the large collection of high-level mathematical functions. If you have installed some of the high-level packages like scikit learn or TensorFlow, or using some software like Anaconda or Jupiter notebook, then the chances are that you have already installed because by installing that software, it will automatically be installed in our system.

Now, if you have not installed any software or packages in the past, then you don’t need them. You can use standalone install the packages and use it in your Python program.

#python #numpy #windows #linux

1598139660

NumPy is a library for the Python language, adding the support for large, multi-dimensional arrays and matrices, along with the large collection of high-level mathematical functions. If you have installed some of the high-level packages like scikit learn or TensorFlow, or using some software like Anaconda or Jupiter notebook, then the chances are that you have already installed because by installing that software, it will automatically be installed in our system.

Now, if you have not installed any software or packages in the past, then you don’t need them. You can use standalone install the packages and use it in your Python program.

- The first step is to check your Python version, and according to version, you will have to install it.
- Then you will have to type the command to install Numpy.

#windows #linux #numpy #python

1603415915

This article is all about my journey on switching from **Windows 10** to **Linux Mint 20**, how I got easily adapted to the Linux environment, and some resources that helped me to set up a perfect Desktop environment.

Ok, now I have decided to switch to **Linux** but here comes the first question. Which distro will satisfy my needs both in terms of GUI and other aspects? Linux is not something new to me since I have been working with **RHEL** based distros in my work for the past 4 years with the command-line.

I know **RHEL** based distros are good for enterprises but not for personalized desktop environments, at least that’s what I am thinking till now. So I started my research to find the distro that should be easy for me to use and at the same time should have good community support if in case I ran into some problem. Among many Linux distros, I drilled down my list to 4 flavors.

**Related Article**: The Best Linux Distributions for Beginners

Before deciding the **Distro** it is necessary you formulate the list of tools/programs or packages needed and check if the distro you choose provides all those features.

For me, I use Linux for two main purposes: one is for my professional development work, writing articles, and second for my personal use like Video editing and Movies. Most of the popular software are created to be compatible with Windows, macOS, and Linux like **Sublime Text**, **VSCode**, **VLC Media Player**, **Firefox/Chromium** browser. Other than these software, cloud-based services make our life easy Like **Microsoft Office 365** or **G Suite**.

#linux distros #linux mint #linux distros #linux mint tips #linux