Of course! When you ask about "Python 3.6 commands," it can mean a few different things. I'll cover the most common interpretations:

1. How to run a Python script from your command line/terminal.
2. Essential Python commands and functions you use within a Python script.
3. Useful command-line tools that come with Python (like pip).

Let's break them down.

Running Python Scripts from the Command Line (Terminal)

This is how you execute your Python code.

Step 1: Open Your Terminal

• Windows: Open Command Prompt, PowerShell, or the new Windows Terminal.
• macOS / Linux: Open the Terminal app.

Step 2: Check Your Python Version

First, verify that Python 3.6 is installed and accessible.

python --version

If this shows Python 3.6.x, you're good to go. On some systems (especially macOS and Linux), you might need to use python3:

python3 --version

Step 3: Navigate to Your Project Directory

Use the cd (change directory) command to go to the folder where your Python file is located.

# Example: Go to the Documents folder
cd Documents
cd my_python_project

Step 4: Run Your Python Script

Let's say you have a file named hello.py with the following content:

# hello.py
print("Hello from Python 3.6!")
name = input("What is your name? ")
print(f"Nice to meet you, {name}!")

To run it, use the python (or python3) command followed by the filename.

python hello.py

Output:

Hello from Python 3.6!
What is your name? Alice
Nice to meet you, Alice!

Other Useful Execution Commands

• Run with a specific version: If you have multiple Python versions, you can specify which one to use.

  # On some systems, the executable is named python3.6
  python3.6 hello.py

• Execute code directly: You can run a single line of Python code without a file.

  python -c "print('This runs directly from the command line')"

• Run in interactive mode: This opens the Python interpreter, letting you type commands and see results immediately.

  python

  You'll see a prompt like >>>. Type exit() or press Ctrl+Z (Windows) or Ctrl+D (macOS/Linux) to quit.

Essential Python Commands (Keywords and Built-in Functions)

These are the commands you use inside your Python scripts. Python 3.6 introduced several new features, most notably Formatted String Literals (f-strings).

Core Keywords (Control Flow)

These are the fundamental building blocks of your code.

Key Built-in Functions

These are functions that are always available in Python.

Python 3.6's Major New Feature: f-Strings

This is the most important command-like feature introduced in Python 3.6. It's a much cleaner way to format strings.

Old way (Python 3.5 and below):

name = "Bob"
age = 30
print("Hello, my name is {} and I am {} years old.".format(name, age))

New f-string way (Python 3.6+):

name = "Bob"
age = 30
print(f"Hello, my name is {name} and I am {age} years old.")

The f before the string tells Python to evaluate the expressions inside the curly braces .

Command-Line Tools that Come with Python

When you install Python, you get several powerful command-line tools.

pip: The Package Installer

pip is used to install and manage third-party libraries from the Python Package Index (PyPI).

• Install a package:

  pip install requests

  (Note: On some systems, you might need pip3 install requests)

• Upgrade a package:

  pip install --upgrade requests

• Uninstall a package:

  pip uninstall requests

• List installed packages:

  pip list

• Show information about a package:

  pip show requests

venv: The Virtual Environment Tool

This is a critical tool for managing projects. A virtual environment creates an isolated space for your project's dependencies, so they don't conflict with other projects.

1. Create a virtual environment: Navigate to your project folder and run:

   # This creates a folder named 'venv'
   python -m venv venv

2. Activate the virtual environment:

   • Windows:

     venv\Scripts\activate

   • macOS / Linux:

     source venv/bin/activate

     Your command prompt will change to show (venv) at the beginning, indicating it's active.

3. Deactivate the virtual environment:

   deactivate

Now, when you use pip install, it will only install packages inside this venv, keeping your project clean and portable.

Summary