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Helpful platform for new users in computational space
What do you like best about the product?
Anaconda has a simple, easy to use user interface. It helps organize information regarding virtual environments, installed packages, and dependencies etc., which is very useful for someone who is new to machine learning and other computional workflows like me.
What do you dislike about the product?
The user interface is sometimes slow. I also get confused about when to use conda and when to use pip to install packages.
What problems is the product solving and how is that benefiting you?
Anaconda helps me organize my virtual environments for work, which involves both building my own machine learning models and using other pre-trained models
best packaging manager for python
What do you like best about the product?
creating environments, installing packages, isolating packages and environments for projects
What do you dislike about the product?
defining requirements file for packages during the environment creation
What problems is the product solving and how is that benefiting you?
writing automation solutions using python
Recommendations to others considering the product:
if you want a sophisticated IDE then also consider pycharm before trying anaconda.
A very native and useful platform for developers
What do you like best about the product?
It has multiple sections, which I like the most because developers can easily do programming as anaconda provides various platforms for developing a program
What do you dislike about the product?
I don't think so there is anything to dislike in this platform, but it would be very beneficial for us if recommended libraries were asked while installing this software
What problems is the product solving and how is that benefiting you?
I can use two different platforms at a time, which I like the most, and benefit for me one is Jupiter notebook, and the other is VS Code
Recommendations to others considering the product:
I would ideally recommend to the new upcoming young developers to use this platform
Best IDE For Python Projects
What do you like best about the product?
It supports Multi Environment creation options for installing libraries.
It gives the flexibility to store the package files of the environments to customized locations.
It allows installing of applications inside the Anaconda ide.
Easy library installation and up-gradation in different environments.
Inbuilt CMD for anaconda ide to install libraries and execute commands.
It gives the flexibility to store the package files of the environments to customized locations.
It allows installing of applications inside the Anaconda ide.
Easy library installation and up-gradation in different environments.
Inbuilt CMD for anaconda ide to install libraries and execute commands.
What do you dislike about the product?
It takes much time to start up and load the projects.
Sometimes it becomes difficult to execute or stop the kernel when executing the large computation models.
Sometimes it becomes difficult to execute or stop the kernel when executing the large computation models.
What problems is the product solving and how is that benefiting you?
Managing multi environments for projects (development, stage, production)
Training models and executing python scripts.
Easy installation of libraries and rolling back to stable versions.
Training models and executing python scripts.
Easy installation of libraries and rolling back to stable versions.
Recommendations to others considering the product:
I recommend using Anaconda Ide for the python projects and managing the multiple execution environments. It helps in deploying the application with its multi-environment support.
Anaconda Review
What do you like best about the product?
Anaconda is open-source and accessible to use for any machine learning, deep learning, data science problems using Python or R Programming Language on a single machine. It has tools and IDEs like Jupiter notebook, spyder, etc, that work with open-source packages and libraries.
There is Anaconda Navigator and Anaconda Command Prompt to work and create multiple environments with different versions of libraries and programming languages.
There is Anaconda Navigator and Anaconda Command Prompt to work and create multiple environments with different versions of libraries and programming languages.
What do you dislike about the product?
Anaconda has a few bugs that do not let a few libraries install and work efficiently.
Anaconda is slower than the independent python package.
Anaconda consumes more ram of machines sometimes that makes it not responding.
Anaconda is slower than the independent python package.
Anaconda consumes more ram of machines sometimes that makes it not responding.
What problems is the product solving and how is that benefiting you?
Anaconda software helps solve problems related to Machine Learning, Deep Learning, Data Science, Computer Vision, Geospatial Data Analysis & Modelling, Satellite Data Analysis, etc.
Anaconda can easily install and manage multiple external libraries in the environment using pip and conda install commands.
Anaconda can easily install and manage multiple external libraries in the environment using pip and conda install commands.
Recommendations to others considering the product:
Anaconda is very easy to use and can manage the libraries in the environment of different programming languages.
It has various training materials and tutorials which will be helpful for beginners to start with data science, machine learning-related problems.
It has various training materials and tutorials which will be helpful for beginners to start with data science, machine learning-related problems.
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 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
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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