This page was generated from instructions.ipynb.

Initializing course environment¶

1 Install Python and the needed external packages¶

This is the recommended alternative
Will take about 3.3 gigabytes of disk space
Download the anaconda installer (64bits, Python 3) from https://www.anaconda.com/download
On command line run bash nameofthedownloadedfile on Linux (and maybe on macOS)
Follow the instructions of the installer
Takes about 3 minutes
Verify that your installation is complete by downloading the script versions.py and run it with python3 versions.py.

This alternative is not recommended
Will take about 2.3 gigabytes of disk space
Download miniconda installer (64bits, Python 3) from https://conda.io/miniconda.html
Run the installer
- On the command line run bash nameofthedownloadedfile
Activate the miniconda environment
- With Linux and MacOS: source /miniconda/install/location/bin/activate
Download the requirements.txt file
Install the required packages with
```
`conda install --yes --file requirements.txt`
```
This may take awhile.
Takes about 1 min 30 s on fast network

Go to the exercise page of the course
If you don’t already have an account on this server, press the signup button
Use your student number as the organizational id, if you want to get credits from this course. Note for old-timers: it is not enough, that you have your student number as your user name in TMC, in fact, that is not even recommended anymore.
Choose organization Helsingin yliopisto
Choose course Data Analysis with Python Spring 2019

Follow the instructions on the following page to install TMC client https://github.com/testmycode/tmc-cli
Note that on this course we use the command line version of TMC, not netbeans or any other IDE. So, you need to know the basics of command line use in the terminal/command prompt
Go to a folder where you want to download the exercises, and issue command tmc login
If it asks for a server address, then your TMC client is outdated. Re-install the client. Note, that the installation script was updated very recently (12.3.2019). So, if you had problems with it, you might want to try again.
Provide login details, and use organization slug hy
Then issue command tmc download hy-data-analysis-with-python-spring-2019 to download the exercises
Important commands:
tmc to show help message
tmc test to test your solution locally
tmc submit to submit your solution to the server for grading
The above github page of the tmc-client also contains instructions on the use of the client