Anaconda Versus Replit

In my data science course, I was told to download Anaconda. Anaconda is a distribution for Python and R programming languages, and it aims to simplify package management for packages like NumPy and Jupyter Python packages. I tried downloading Anaconda at least twelve times on my Mac before I decided to just give up. But, luckily Replit was there to save the day!

No hate to Anaconda, but I think there are some huge discrepancies especially with someone just getting started with programming. To start, the installation itself was giving me some trouble. I kept getting error messages, and even google searches weren’t really helping me out that much. So, I decided to go back to my favorite platform: Replit. Replit is an online IDE and lets you code with host apps. This means you don’t need to go through any crazy installation processes.

Photo by Alex Chumak on Unsplash

One of my favorite things about Replit is that not only is it an online platform, but the installation for packages is really easy. For example, if you wanted to download NumPy, all you need to do is click the packages icon on the left side, search the package, and click the + sign.

The installation process took around .2 seconds. It was quick and easy, and I was able to follow along with my courses even though they were using Anaconda. Other packages that can be downloaded are Panda and pip. I think this is a great program to use when you are starting off. I really have been enjoying using Replit because I feel like I’m wasting less time figuring out how to download and install the programs, and actually putting the time into learning how to code.

Overall, I’ve been enjoying the coding journey! I’m taking a data science course and it has been a really interesting way to look at things. I’m also learning how to problem-solve in real world situations, and it’s all because of coding. I hope to see you in my next article :)

Stay sweet,




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Ravjot Kaur

Grad student who loves writing about everything | I’ll look over your personal statement: