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Python with Anaconda -> works wonderous!
What do you like best about the product?
If you are a budding data scientist and code in Python or R, let me tell you there's no better alternative to Anaconda. Anaconda provides all the necessities you would be requiring to develop and deploy a project in Python/R. It has a wide range of Development environments, notebooks, and IDEs to work in. I strongly suggest Anaconda to all my fellowships who intend to learn or in their data scientist journey.
What do you dislike about the product?
I have been using Anaconda for a year now, and honestly, I haven't yet found anything that I would like to change. Anaconda is the perfect hub for all data science aspirants!
What problems is the product solving and how is that benefiting you?
I am a data science enthusiast. I have been using Anaconda since the start of my journey. I use most of the Development environments under Anaconda like Jupyter Lab, and write my python codes on Jupyter notebook when it comes to Machine Learningor Deep Learning. I like how Anaconda saves me from the hassle of downloading multiple softwares. Anaconda also provides all the relevant documents. Another major thing I like about Anaconda is that it has a powerful and active community. So if I get stuck anywhere, I can put up my questions in the discussion forum.
Anaconda For Data Science Enthusiasts
What do you like best about the product?
One of the most significant advantages of using Anaconda Enterprise is that it is open-source software that has a very user-friendly GUI with seamlessly easy installation steps and that can carry out specific user-defined tasks. Anaconda contains the entire package for data analysis tasks, and provides the users with the option to choose their platform convenient for analysis/processing. These platforms include Jupyter notebooks, Spyder IDE, and RStudio. Anaconda also boasts about having a very strong customer support with websites such as geeksforgeeks.com and stackoverflow.com providing the best of solutions to the most complicated queries.
What do you dislike about the product?
Anaconda can be improved to handle large dataset sizes. Similar to Google collab, if anaconda can provide the option to choose the RAM allocation such as TPU/GPU based on the computational complexity, the users will be able to benefit from it drastically.
What problems is the product solving and how is that benefiting you?
Anaconda is used mainly for data analytics and machine learning model creation. Anaconda allows for seamlessly easy integration with RStudio and relational databases such as MS SQL Server and Oracle. It also supports integration with process automation tools such as Blue Prism. Anaconda enterprise provides a one-stop solution for all data science tasks such as data mining, exploratory data analysis, feature engineering, and creating machine learning models. It contains several useful libraries like pandas, numpy, scikit-learn matplotlib, etc. to perform these analytical tasks. Overall, the scalability of this software makes it possible for several organizations to use Anaconda for its end-to-end project deployment.
Anaconda Review
What do you like best about the product?
Anaconda features valuable and efficient softwares all in one place. It is also easy to access and easy to use. It features many softwares, such as Python, Spyder, and Jupyter Notebook.
What do you dislike about the product?
I do not have any problems with this at all.
What problems is the product solving and how is that benefiting you?
I am using this to access to Jupyter Notebook and Python to solve public health issues. A benefit of this is that it is easy to access the softwares I need to work on the problems.
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
Reviewing Anaconda Ubuntu Version
What do you like best about the product?
The Python interpreter is best in Anaconda as I am able to run the code chunks.
What do you dislike about the product?
Starting anaconda on Ubuntu is a tough job for me as there are no icons created on the desktop or at the start menu when installing the apt version. I had to write commands to start it which caused irritation to me.
What problems is the product solving and how is that benefiting you?
I have been learning python .
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.
Complete package
What do you like best about the product?
Anaconda is very easy to use. It has all in one, such as Jupyter, Spider, R, etc. And this is open source with full of packages such as Pandas, NumPy, Matplotlib, and many more to handle all types of data. It has a cloud interface which is very helpful to store your work.
What do you dislike about the product?
Sometimes it crashes, and you need to restart. I have that problem, mainly when I use the Jupyter notebook. You may also get some trouble installing new packages. Otherwise, it is a very nice platform to run your jobs.
What problems is the product solving and how is that benefiting you?
Generally, I use it for data processing and perform some analytical calculations related to my research. Sometimes, I use it for Machine Learning algorithms as well.
Recommendations to others considering the product:
Lovely and helpful package if you work in data science, Physics, and engineering.
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.
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