I am new to programming and started working on Linux, now I want to switch to windows and open my project there, look at the tutorials, it is written to activate the virtual environment in the Settings / activate.bat folder. but in my project there is no such folder and such file with the extension .bat. what should I do?
Please download & Install interpreter from https://www.python.org/downloads/
(make sure you are using windows 10, because previous
version create problems)
Download pycharm professional addition (if you have university account) other wise go for community https://www.jetbrains.com/pycharm/download/
Click for Django project
Set the interpreter
Go to. manage.py task
Run command migrate
Enjoy
First thing get all the requirements like the library you installed through pip inside
a txt file by writing this command pip freeze > requirements.txt.
Get only the source folder where you made the project and app.
Create a folder.
Create an environment inside the folder. (virtualenv name_of_the_env)
Go inside the env you created and activate the Script. (.\Scripts\activate)
Copy the source folder inside the env and either you can install all the library
manually using pip or you can use requirement.txt that you have created to install the
library by writing this command pip install -r requirement.txt.
You need python and pip installed to work
I have been trying to study the source code of clamav open source antivirus as a part of my project. Hence I downloaded the latest stable release clamav.0.99.2.tar.gz from the website.
I'm using eclipse neon.2 Release 4.6.2 on Windows 10 64-bit.
I created an existing make file project using the clamav folder extracted, and then converted it into an C/C++ autotools project.
While configuring the project, I get an error "openssl not found", Although I have installed openssl in my cygwin64 terminal and also I run the ecipse from this terminal only.
Is my approach completely wrong?
from the terminal in the linux VM, type:
sudo apt-get install libssl-dev
to install the SSL then from the clamav-0.99.2 directory type:
./configure
when that completes then type:
make
This will take a while to complete, then (if you want to actually install the clamav application) type:
make install
I was trying to use tensorflow in Pycharm IDE.
It seems that in Pycharm, it is one-click to install a package. It was very easy with bumpy. Now error occurs when I was trying to install tensorflow.
Tensorflow was installed through terminal on Mac, as screenshot shows, using the command
sudo pip install --upgrade https://storage.googleapis.com/tensorflow/mac/tensorflow-0.8.0-py2-none-any.whl
(Refer to https://www.tensorflow.org/versions/r0.8/get_started/os_setup.html#pip-installation)
Any suggestions ? Thanks.
If you install tensorflow with the virtualenv option and want to use it from Pycharm for a project, you need to set up a corresponding virtualenv interpreter. There are a few solutions on the forum, for example How to get VirtualEnv TensorFlow to work in PyCharm?, however, that one didn't work for me with a "python packaging tools not found pycharm" error.
This is a working solution for me, first create a virtualenv from Pycharm and then install tensorflow there:
In Pycharm, Preferences -> Project interpreter -> Create VirtualEnv -> give the virtualenv a name and location of your choice, and select "inherit global site-packages" option -> OK.
In command line, install tensorflow in the virtualenv location you created in Step 1. For the above case, the location is ~/tensorflow_pycharm, therefore, run command virtualenv --system-site-packages ~/tensorflow_pycharm
In Pycharm, select the created project interpreter, and select the tensorflow package, double click to install the package.
If Step 3 is successful, set run configuration, and try run a sample program.
Update - Nov. 1, 2017:
Tried successfully with Latest Jetbrain PyCharm Community Edition (2017.2.4) and Python 2.7.14, with Installing with virtualenv of https://www.tensorflow.org/install/install_mac.
Install tensorflow with virtualenv
Add Local to Project Interpreter.
Run the script
Generate graph
Run tensorboard --logdir=/tmp/tensorflow_logs in Terminal of PyCharm
Go Preferences and search for the interpreter. You may see several interpreters. Select any interpreter which has the tensorflow package installed.
Check out the installed packages and double check the versions of tensorflow as shown in this picture.
To summarize (on Mac) :
Step 1, get latest Python (2.7.11 today) on Pycharm:
Pycharm, can not find Python version 2.7.11
Step 2, follow "Pip Installation" of https://www.tensorflow.org/versions/r0.8/get_started/os_setup.html#download-and-setup
Step 3, Pycharm-- preference -- project interpreter, install the latest versions of numpy, protobuf, six.
Tensorflow import error on Pycharm (Mac)
Note, maybe have to click the "specify version" when installing.
Step 4, Pycharm-- preference -- project interpreter, install the latest version of tensorflow (v 0.8.0 today).
Note, if not find v0.8.0, then maybe have to manually click "Manage Repositories" and then add the link of Step 2 (https://storage.googleapis.com/tensorflow/mac/tensorflow-0.8.0-py2-none-any.whl)
These steps worked well on both Mac computers of mine. Thanks for all helps during the procedure from contributors.
Steps I followed
1. Use the virtualenv option in tensor flow's official guide for installation and follow the steps exactly to install and set up tensor flow. Although we've already created a virtual environment here, I created a separate one for Pycharm projects.
This is how you do it.
1. Create a new project. Go to Preferences. Go to interpreter and create a new virtualEnv. Give it a name and check on the box "inherit global site-packages". Press "OK".
creating a virtualenv
Below are a list of Packages. Here's where I couldn't find tensor flow initially. If this is the case, there's a + symbol on the bottom left. Click on it and manually search for "tensorflow". Click on "install package" on the bottom left.
installing tensorflow package
After the installation is done press OK.Close this screen. Tensorflow will now appear on the installed packages list.
Press ok. Now test your installation with a program.
import tensorflow as tf
hello = tf.constant("hello TF")
sess = tf.Session()
print(sess.run(hello))
Hope this helps.
I install node.js since I heard that we should prefer apt-get installation to native installation from source since it is easy to update or remove. Is it true?
What's the right way to determine the correct gcc version to develop node.js C++ addon if we install node.js using apt-get?
I installed the node.js using apt-get (PPA: https://launchpad.net/~chris-lea/+archive/node.js/+packages) on Ubuntu 12.04. For the C++ development, the gcc(g++) version of node.js and add-on should match to make sure the C++ symbols consistent, right?
Thanks.
Use nvm to install from source:
nvm install [-s] <version>
and Node.js source code will be placed in '$NVM_DIR/src'.
Then use node-gyp to configure the environment and build your addon.
cd /path/to/your/node/addon/binding.gyp/file/
node-gyp configure
node-gyp build
It is practical, you don't need root permissions and will be compiled in the same environment.
I am already using eclipse for JAVA and I wanted to install eclipse-CDT for C/C++ program development. To install eclipse-CDT I typed
sudo apt-get install eclipse-cdt
in the terminal and it installed correctly. But when I launch eclipse again and go to file->new, I don't see any provision for creating a C/C++ project. Kindly help
You can install CDT as follows:
Download zip file directly from here and use CDT by unzipping it.
Using update site.
Go to Help → Install New Software
Select Copy p2 software repository path for your eclipse release from the above link
Paste this link in Work with text box and then select all the features install CDT.
Maybe you should use eclipse gui installer. I never had a problems with cdt. You can to download it from official eclipse website.