Übungen für meinen PyCharm Kurs.
- Vergleich Editoren
- Was gibt es auf dem Bildschirm?
- Community Edition installieren
- Cheat Sheet herunterladen
- wo sind die Preferences?
- Projekt vs. Script
- .idea Ordner
- Source / Test root
- Versionskontrolltool wählen
- Interpreter wählen
- requirements installieren
- prüfen ob es das Pycharm terminal geschnallt hat!!!
- Ausführen innerhalb oder außerhalb von Pycharm?
- Git branches usw
- Commit Message vorformatieren
- branch graph
- merges
- flake8
- PyLance
- black
- pyright oder mypy
- was ist eine build configuration?
- Skript
- Umgebungsvariablen
- Kommandozeilenparameter
- Skript oder env?
- Debugging Techniken
- ipdb ausführen
- pytest
- fixtures
- parametrized tests
- test root
- fundamentals
- automatische Funktionen
- GitLab
- Python Package Examples - by Kristian
- NumPy Graphics - by Kristian
- Chris Albon - tons of short data science examples
- pandas user guide - data analysis
- Scipy-Lectures - plotting and numpy
- Image Processing with OpenCV
- Python for Everybody - video course with exercises by Dr. Chuck
- W3 Schools Python Tutorial - Lightweight course with exercises
- How to think like a Computer Scientist - a very systematic, scientific tutorial by Allen B. Downey
- Automate the Boring Stuff with Python - by Al Sweigart
- Python 101 - by Michael Driscoll
- Dive into Python 3 - Tutorial for experienced programmers - by Mark Pilgrim
- Data Science from Scratch - Joel Grus
- Main documentation and tutorial on www.python.org
- Python Library Reference covering the language basics
- Global Module Index -- description of standard modules: