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Multitasking and Feature Customized Code Addition
What do you like best about the product?
Anaconda has a great linting property wherein the classes, constructors, and functions are highlighted separately. It provides an ease to write custom code which helps to write error-free code without the need of debugging a long list of codes as the developer gets prior information while writing it.
What do you dislike about the product?
It has all the requirements. I liked this IDE.
What problems is the product solving and how is that benefiting you?
I am writing python codes for new software development wherein in solve problems of transaction limit control and uses it for data science purpose to visualize data insights.
Anaconda putting the squeeze on python coding.
What do you like best about the product?
As a newcomer to programming, Anaconda has made it easy to organize and execute batches of code for assisting in automating my daily workflow.
What do you dislike about the product?
I have not found anything that I dislike about Anaconda yet.
What problems is the product solving and how is that benefiting you?
I am able to take some of my daily repetitious activities and automate them and increase my productivity.
Best develpement environment for Machine Learning
What do you like best about the product?
1. Amazing set of features ease the development of any data science project.
2. We can use Jupyter Notebook to create .ipynb files and even use them on DataBricks.
3. Installing any library is pretty straightforward.
4. I use Spyder to run python scripts on my local computer.
2. We can use Jupyter Notebook to create .ipynb files and even use them on DataBricks.
3. Installing any library is pretty straightforward.
4. I use Spyder to run python scripts on my local computer.
What do you dislike about the product?
It uses a lot of RAM, which sometimes makes the laptop very slow. Sometimes version inconsistencies arise in libraries.
What problems is the product solving and how is that benefiting you?
I use it for Data Science, Machine Learning, and other analytics tasks. For writing python scripts for local computer.
Recommendations to others considering the product:
If you are a beginner, then start with Anaconda. Then you can move to other platforms like DataBricks for collaborative projects.
Seamlessly connect to apis for using the power of python for data analysis
What do you like best about the product?
Easy to install all the required packages/library for use of data analysis. Jupyter notebook can be used after installing this for writing python codes
What do you dislike about the product?
No point of dislike as such. Sometimes it is hard to add missing library.
What problems is the product solving and how is that benefiting you?
I am using anaconda to automate data integrity checks using a python code and connection to hive database
Recommendations to others considering the product:
Good tool for data analysis
Best alternative for pyCharm
What do you like best about the product?
The feature that attracted me the most is the numerous open-source tools that come with it, such as Pandas, NumPy, SciPy, Matplotlib, and many more, which enables the system to read, process, model, and visualize my data. The version management feature that Anaconda provides is easy to handle. It contains many default namespaces and many python libraries and is also very easy to install new ones. Even to install new libraries, we can do it by simply clicking in checkboxes.
What do you dislike about the product?
The only drawback that I can figure out is rapidity. It is a bit low on comparing with others. But if we look towards the packages that come with it, it is acceptable. I have faced several issues during the update of some specific packages. Whenever I try to update some particular package, it will update almost all the other packages that are unnecessary.
What problems is the product solving and how is that benefiting you?
Currently, I am working with my Machine Learning algorithm for Document summarization, and the ease of use is effortless. I can execute every line and see the result simultaneously, which makes my work excellent.
Best IDE for the Data science project
What do you like best about the product?
- All data science tool is available in single umbrella.
-almost all required libraries have available in it.
- Easy to create a notebook for the data science project.
-Easy to work on multiple python environments based on your requirement.
- In community easy to find the forum/ events
-almost all required libraries have available in it.
- Easy to create a notebook for the data science project.
-Easy to work on multiple python environments based on your requirement.
- In community easy to find the forum/ events
What do you dislike about the product?
- Consuming more time to load the first time application.
-Sometimes it is stopped due to consumes more ram.
-Sometimes it is stopped due to consumes more ram.
What problems is the product solving and how is that benefiting you?
- It is used for creating the ML model
- Data analysis
- Data visualisation
- Creating the notebook for sharing the code and description.
- Data analysis
- Data visualisation
- Creating the notebook for sharing the code and description.
Recommendations to others considering the product:
I would recommend to data scientists can use it.
Best IDE for starters
What do you like best about the product?
Perfect for learning and programming, a lot of ready-to-use libraries are present. Version management is easy to control.
What do you dislike about the product?
It is heavy on resources and hence lags sometimes, an option to install only required packages would be excellent.
What problems is the product solving and how is that benefiting you?
I used anaconda platform for python programming and development
one of the best tools for data science
What do you like best about the product?
anaconda offers an all in one package that let you access all of the tools and packages you need for data science
for free
for free
What do you dislike about the product?
In my opinion, the learning section can be designed better and have much more helpful content. Currently, I don't find it very useful
What problems is the product solving and how is that benefiting you?
analyzing data, coding, and training models have become much easier thanks to lots of useful packages
The best IDE for data science
What do you like best about the product?
What I like the most is the versatility from a familiar programming environment and also the app for an online notebook that compiles. I think it is one of the most significant features all in one place
What do you dislike about the product?
I think the environment management could be a little more user friendly
What problems is the product solving and how is that benefiting you?
As a data scientist, I perform all my analysis and daily tasks on this platform giving real value to the company I'm working for
Anaconda Enterprise to program computer applications using interpreted languages
What do you like best about the product?
That the community version is free and that the creation of virtual environments is simple.
What do you dislike about the product?
That the documentation is not robust enough to walk you through the steps with no external aid.
What problems is the product solving and how is that benefiting you?
Machine Learning applications
Recommendations to others considering the product:
Follow online tutorial by other users
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