- research
- SPARQL (Abfragesprache)
- navigating the filesystem
- working with files and directories
- loops
- counting and mining with shell
- working with free text
- repository
- sharing your work
- GitHub pages
- variables
- data types
- built-in functions and help
research:
- Digital Object Identifier (doi)
- Application programming interface (Programmschnittstelle) abk. api
modules:
- a file containing Python definitions and statements
lists
loops:
- for x in y:
- code
loops
writing functions:
- def name_of_function():
- code
local and global variables:
- local: kann man außerhalb der Variable benutzen
- global: kann man im gesamten Programm drauf zugreifen
if-statements
task: writing a program which downloads json-files
- using json module and urllib.request module
task: writing a program which can download several json-files
- using for loop
library carpentry workshop
library carpentry workshop
created in github a repository called internship
hackyhour:
- presentation about selenium
- selenium: Framework für automatisierte Softwaretests von Webanwendungen
research:
- orcid (Identifizierungsnummer für Autoren und Autorinnen)
how to programm graphics with networkx:
- nodes (knoten)
- edges (kante)
task: show excel table in python with pandas
pandas:
- Programmbibliothek, Hilfsmittel für die Verwaltung von Daten und deren Analyse
task: visualize table in python with module networkx and matplotlib
task: print doi from reference and show network of dois with module networkx and matplotlib
- modules: json, urllib.request, networkx and matplotlib
- print dois from reference
- add nodes
- add edges with for loop
- draw graph
research:
- openstack (Cloud-Computing)
virtualbox:
- ubuntu (linux)
downloaded in ubuntu anaconda, git and ansible
openstack workshop
how to work with ubuntu
using git and anaconda in ubuntu
install ansible
research:
- ansible (Verwaltung und Administartion von verteilten Servern)
working on the report about my internship
task: other way to visualize dois with networkx, changing DOI_JSON_networkx.py file
Karfreitag
Ostermontag
presentation about networkx
task: visualizing dois with networkx
task: visualizing dois with networkx
journal club
code review
Maifeiertag