Anaconda with Python 2 (x86_64)
Anaconda, Inc. | Anaconda2 2019.07 20190724Linux/Unix, Amazon Linux 2018.03 - 64-bit Amazon Machine Image (AMI)
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Great IDE for Python coder
What do you like best about the product?
It comes with great libraries and also supports a wide variety of Python libraries for effective programming
What do you dislike about the product?
It is hard for users who use pycharm or vs-code ide to configure Anaconda
What problems is the product solving and how is that benefiting you?
It helps me to develop & analyze machine learning models and used them in data science projects
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Anaconda Review
What do you like best about the product?
1)Easy to use
2)supply various libraries pandas,numpy and various data analysis libraries and tools.
3)easier with installation and updation of packages.
4)supports version control system
5) helps in integration with tools such as pycharm and vs. code.
2)supply various libraries pandas,numpy and various data analysis libraries and tools.
3)easier with installation and updation of packages.
4)supports version control system
5) helps in integration with tools such as pycharm and vs. code.
What do you dislike about the product?
1) Nothing as of such
2) It's a great tool
2) It's a great tool
What problems is the product solving and how is that benefiting you?
It helped me learn data science and analytics conveniently.
It supports libraries such as numpy, pandas, matplotlib, and sci-kit learn.
It supports libraries such as numpy, pandas, matplotlib, and sci-kit learn.
Anaconda
What do you like best about the product?
Its ability to provide a convenient way of deploying and managing various packages required for the application in a single place attracts me to use Anaconda for development works.
What do you dislike about the product?
The only thing I felt is that it slows down my local machine and takes a lot of time to restart or to set up. And it consumes more disc space. Other than these, it's absolutely great!
What problems is the product solving and how is that benefiting you?
It is able to provide me with a one-stop solution for developing applications that require various packages and SDKs by effectively managing and deploying the required packages.
Nice tool to start with Data Science
What do you like best about the product?
Anaconda's conda tool simplifies package and environment management across operating systems. It provides a flexible data science platform with comprehensive package administration and the ability to create separate project environments. Pre-installed data science libraries like NumPy and Pandas make it convenient for users to start their projects without manual installations.
What do you dislike about the product?
it can be heavy on processor usage, leading to slower performance and longer load times. It is recommended to use Anaconda on high-specification computers to mitigate these issues.
What problems is the product solving and how is that benefiting you?
Anaconda is a valuable tool that greatly assists me in data science and machine learning endeavors. It simplifies package and library management, allowing me to effortlessly create separate environments for various projects. With pre-installed data science libraries, it expedites my workflow and enhances productivity, making my data science tasks more efficient and seamless.
Anaconda
What do you like best about the product?
It gives the flexibility of managing various packages and deploying them with ease.
What do you dislike about the product?
The only con about Anaconda is, it slows down the local machine on which it is installed.
What problems is the product solving and how is that benefiting you?
It helps me to manage and deploy required packages for the application at single place.
Anaconda: my python standard
What do you like best about the product?
One of the best things about Anaconda is the conda tool, which allows users to manage environments and packages within those environments. Also, since Anaconda works with different operating systems, I can use it on my Linux and Windows systems.
What do you dislike about the product?
One of my least-used features of Anaconda is the Anaconda Navigator, as I prefer to work from the command line to be able to access what I need most efficiently. Perhaps I would use Navigator more if it didn't take so long to load. If the window instantly appeared after launching, it would be much more useful.
What problems is the product solving and how is that benefiting you?
We use Anaconda Business as a way to meet our IT requirements for the management of software packages. Restricting our users to the approved channels allows CVE review and package curation, so only the code we want ends up in our code base.
Good if you need to work with binary packages
What do you like best about the product?
Anaconda is a great solution if you need to work with binary packages. It's dependency solver can also handle complex cases.
What do you dislike about the product?
The conda dependency solver can be very slow sometimes. It needs performance improvements.
What problems is the product solving and how is that benefiting you?
When we have binary dependencies, anaconda is the best solution out there for managing those dependencies.
The best Python Coding Platform
What do you like best about the product?
I like how easy is to set up Anaconda on your local machine. The ability to easily install various Python packages is another great advantage of this platform. The ability to organize your coding experience is a fantastic feature that Anaconda provides. Another great feature of Anaconda is the community support you can get.
What do you dislike about the product?
I think one aspect that can be greatly improved about Anaconda is the user interface. I think programming platforms like Anaconda lack the modern interface that improves user experience. One downside of the Anaconda package management is that it is not easy for beginner users, and they might find it confusing to navigate. And If they can bring down the installation size that would be a huge plus.
What problems is the product solving and how is that benefiting you?
The main application for me and my colleagues was to solve machine learning problems and evaluate different models. I also used it for interactive visualizations when needed. The speed and power of Anaconda in performing different actions were great assets for solving data science problems.
Great for all uses
What do you like best about the product?
It encapsulases everything together neatly, once it is downloaded setting up enviroments and project basis is very fast and most importantly encapsulated. Versitile, I use it both on my personal windows and my work ubuntu works great on both. Plus their documentation and explanation is great so helps for anyone new to the field.
What do you dislike about the product?
It does stack alot of space if not cleaned every once in awhile, you might notice it taking up big chuncks of space. Be sure to clear any unused libraries or enviroments.
What problems is the product solving and how is that benefiting you?
Encapsulating project enviroments easily, helps in downloading all revelant packages quickly and using them neatly. also it allows a quick download of all IDEs from pycharm to jupyter notebook.
Anaconda made Data Science easier
What do you like best about the product?
The best thing I like about Anaconda is that it is very easy to download. It is an open-source application, so that anyone can download it for free. We can effortlessly access files and folders. It is the best tool for writing your Python code and for those starting their career in data science.
What do you dislike about the product?
After using Anaconda for a long time, I noticed that it consumes a lot of the device's RAM, making the system slow. Anaconda will work best with high-specification computers. Anaconda does not have GIT integration.
What problems is the product solving and how is that benefiting you?
Anaconda is solving various problems related to data science and machine learning. It manages the packages and libraries used by the data scientist. For every use case, we can set an environment that helps manage different projects simultaneously. It also solves the problem of users new to data science with its user-friendly desktop application.
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