Author: Lougarou

Learning Python as a beginner can seem like a daunting task, but with the right resources and approach, it can be quite manageable. Here are some steps that can help you get started with learning Python:

1. Set your goals

What do you want to do with Python? Do you want to build web applications, data analysis, machine learning, or something else? Knowing your end goal will help you stay motivated and focused.

2. Choose a good resource

Choose a good resource: There are many resources available for learning Python, including online tutorials, video courses, books, and interactive platforms. Some popular options include Codecademy, Udemy, Coursera, and Google’s Python Class.

3. Start with the basics

Python is a relatively easy programming language to learn, and it’s a great idea to start with the basics. Learn about variables, data types, control structures, functions, and basic syntax.

4. You need to make time for practice

The more you practice coding, the better you will become. Try to solve small problems and complete simple projects to apply your knowledge and solidify your skills.

5. Get involved in the community:

Python has a large and supportive community of developers, and getting involved with the community can help you learn faster, get answers to questions, and stay motivated. Join online forums, attend local meetups, or participate in online groups.

6. Work on a project

Once you have a good understanding of the basics, try to work on a project that interests you. This could be anything from building a simple calculator to creating a web application or a data analysis tool.

Remember, learning to code takes time and effort, but with persistence and determination, you can become proficient in Python.

Reassigning list to an empty list

You can clear a list in Python by reassigning the list to an empty list. For example:

my_list = [1, 2, 3, 4, 5]
print("Before clearing:", my_list)
my_list = []
print("After clearing:", my_list)

Output:

Before clearing: [1, 2, 3, 4, 5]
After clearing: []

Using clear() in Python 3.3

Another way to clear a list is to use the clear() method, which is available in Python 3.3 and later:

my_list = [1, 2, 3, 4, 5]
print("Before clearing:", my_list)
my_list.clear()
print("After clearing:", my_list)

Output:

Before clearing: [1, 2, 3, 4, 5]
After clearing: []

There are several ways to clear the screen in Python, depending on the operating system you are using. Here are some of the common methods:

Using the os module:

import os
os.system('clear') # for linux/macOS
os.system('cls') # for Windows

Using ANSI escape codes:

print("\033c", end="")

Using the subprocess module:

import subprocess
subprocess.run("clear") # for linux/macOS
subprocess.run("cls") # for Windows

Disclaimer that you might need to run the following code in a terminal and that this might not work in a Python IDE by Pycharm.

First of all you will need to change your “pip install automl” to “pip install automl”. This will give you a verbose output and you will find exactly where the installation is failing.

For example a common case for the installation to get stuck is at the point when it tries to install multiprocess as one of its dependencies.

Requirement already satisfied: multiprocess>=0.70.7 in ...\lib\site-packages (from pathos<0.3.0,>=0.2.1->automl) (0.70.11.1)
Collecting multiprocess>=0.70.7
...

Turns out that multiprocess, at the time of writing, worked only on Python 3.6 instead of Python 3.11 (which I was trying to use).

To fix the issue in this case you can switch between Python interpreter. If you want to support multiple versions of Python on Windows this is a good tutorial: https://levelup.gitconnected.com/how-to-install-and-manage-multiple-python-versions-on-windows-10-c90098d7ba5a

If you are on Linux: https://levelup.gitconnected.com/install-multiple-python-versions-on-linux-8bd6d301d78c

For my case I was on Pycharm. If you would like to change Python interpreter on Pycharm you can go to “Find Actions” -> type “Python Interpreter” and then just point it to an installation of folder of Python 3.6.

Anyway, this is if the installation is failing at multiprocess. The root cause of your issue might be different, like a permission issue, but whatever it is just turning on the verbose output and searching online should you give you enough information to unblock yourself.

In case you are still stuck, try to comment below and I will get back to you.