Ayushparikh-code / Ayushparikh-code/python-random-quote
Run your first Python program
- Lingua principale
- Python
- Stelle
- 1
- Fork
- 0
- Metriche di merge delle PR
- Nessuna PR unita negli ultimi 30g
Descrizione
Now you're ready to start coding. Let's get familiar with the files in our repo:
- `README.md`: a markdown introduction to this project
- `get-quote.py`: the file where we'll write our Python code
- `quotes.txt`: a text file with a list of quotes
Open up `get-quote.py` and comment out line 2 by removing the `#` from the beginning of the line. It will look like this:
```
print("Keep it logically awesome.")
```
The two spaces (or one tab) in front of the line is important. Python uses whitespace to organize code. This print line is part of the `main()` function. But more on that in the next step. First, let's try running that Python script.
Use the Python 3 command to run the script. From the command line, type one of the following:
- `python get-quote.py`
- `python3 get-quote.py`
You should see our first quote, the one hard-coded into line 2, printed out in your terminal:
`Keep it logically awesome.`
## Push your changes
You've edited your local code, so you have a more recent version than is stored in this repository. You can check that any time by running: `git status`
It should show one file modified. Every time we want to send our local changes to GitHub, we need to perform three steps:
1. Add the file(s) with changes: `git add get-quote.py`
2. Commit the changes: `git commit -m "Hello World"`
3. Push the changes: `git push`
Once you've completed these steps, we'll write some more Python.
Guida per i contributori
Nessuna guida per i contributori indicizzata per questo repository
Direzione di ricerca
Apri get-quote.py e ispeziona la riga 2, quindi eseguilo con Python 3 usando il comando mostrato nell’issue. Conferma che la citazione hard-coded appaia nel terminale, controlla git status e segui i passaggi documentati per add, commit e push, in modo che la modifica al file venga registrata.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Valutazione
- Stack tecnologico
- git, python
- Ambito
- documentation
- Tipo di issue
- Documentazione
- Difficoltà
- 1/5
- Tempo stimato
- Meno di un'ora
- Stato di attività
- Ferma
- Chiarezza
- Specificata chiaramente
- Idoneità per principianti
- 55/100