Python Using different IDEs (Anaconda, IDLE) for Python 2.7, 3.5 Respectively

  • Thread starter Thread starter WWGD
  • Start date Start date
  • Tags Tags
    Python
Click For Summary
The discussion centers on the challenges of using IDLE and Anaconda Navigator/Jupyter IDEs for Python 3.7 and 2.7, particularly in the context of data analysis. The user expresses difficulty in finding equivalent data analysis packages for Python 3.x that match their experience with Python 2.7 in Anaconda. They seek recommendations for training resources focused on data science and analysis using IDLE with Python 3.x. There is also mention of the recent collaboration between Anaconda and JetBrains to launch "PyCharm for Anaconda," which could be beneficial for those returning to Python for data science. Additionally, the user touches on the potential of using SQL Server 2017 for machine learning, noting their lack of experience but recognizing its applicability in production environments. The conversation highlights the complexities of transitioning from Python 2 to 3 and the importance of finding suitable tools and resources for data analysis.
WWGD
Science Advisor
Homework Helper
Messages
7,772
Reaction score
13,008
TL;DR
For complicated reasons it would be convenient for me to work with both IDEs. I can work with IDLE, but I get error messages when I try to work with Anaconda.
Hi,
I would like to be able to use both IDLE and Anaconda Navigator/Jupyter IDEs for Python 3.7 (64-bit), 2.7 respectfully. I can open up and work with IDLE. I understand Python 2.x is for legacy systems mostly but I spent a lot of time using data analysis packages in/with Anaconda for 2.7 and I am having trouble finding similar packages or just similar Data packs with IDLE for 3.x.

Alternatively, if someone knows of training for Data Science/Analysis using IDLE, Python 3.x , I would appreciate refs. I am just having trouble going through a maze of setups.
 
Technology news on Phys.org
I use Visual Studio Code, but then I don't do a lot of work in Python any more. When I did, I used PyCharm which I found excellent.

This may seem a bit off-topic, but I have recently noticed the headline "Anaconda and JetBrains Join Forces to Launch ‘PyCharm for Anaconda’" - if I was getting back into Python for data science I would definitely check this out.
 
  • Like
Likes WWGD
Thanks Pbuk,
Have you heard about doing ML with SQL Server 2017 (Bottom Option):

244388
 
No, I have no experience of ML. I just had a quick look at some of the MS stuff, it looks as though it could make sense in a production environment (where SQL Server is always at home) but I would hate to have to set up a development environment for it - in most SQL Server dev scenarios there is someone who is paid to do that for you!

You might be interested in this survey - note that JetBrains own PyCharm so it is not independent, and I would never use a survey for anything other than highlighting things I hadn't paid much attention to anyway.
 
  • Like
Likes WWGD
I tried a web search "the loss of programming ", and found an article saying that all aspects of writing, developing, and testing software programs will one day all be handled through artificial intelligence. One must wonder then, who is responsible. WHO is responsible for any problems, bugs, deficiencies, or whatever malfunctions which the programs make their users endure? Things may work wrong however the "wrong" happens. AI needs to fix the problems for the users. Any way to...

Similar threads

  • · Replies 6 ·
Replies
6
Views
4K
  • · Replies 54 ·
2
Replies
54
Views
6K
  • · Replies 6 ·
Replies
6
Views
4K
  • · Replies 15 ·
Replies
15
Views
5K
  • · Replies 0 ·
Replies
0
Views
2K
  • · Replies 11 ·
Replies
11
Views
33K
  • · Replies 1 ·
Replies
1
Views
4K