I also like how it's integrated with IBM Watson Cloud Studio for better data visualisation.

If your code get about few hundreds of lines, it might be difficult to navigate to specific module.

It's a very good Python distribution with all the required library installed with it for Data Science, which make it convenient to use. Jupyter notebook feature is amazing.

Sometimes there are issues if you need to do something and it doesn't work with the current version of Python and this causes some frustration. On rare occasions, there is a bit of a lag.

Simple, Quick and the Best Open-source Python Distribution.

Code auto-correction is a lifesaver. I also love the debugging tool, which makes it very easy to find out the bugs in your code.

Anaconda is very easy to use python package manager. We can use jupyter notebooks, spyder and many other from anaconda navigator easily.

Super easy to install packages, add libraries and configure. Easy to use and implement.

Overall experience is good. There are countless libraries that you can install and work with them to perform tasks related to your business domain.

You can also install R and PyCharm but I'm not sure if those incur some sort of licensing. Bottom line is it supports a ton of different functionality.

Performance adjustment is really required for users which use low end systems, especially lower RAM amounts.

The only drawback I can say is its rapidity is a bit low. I guess that's expected considering the number of packages it comes with, and adding new ones to these ones.

It is a bit difficult to use at the beginning.

It has a great user interface with support for running multiple environments for your development. The Jupyter and Spyder notebooks are my usual go-tos, and they work really well.

First off, Anaconda is extremely easy to use for all your potential coding needs without downloading a lot of different software.

Along with Python, it supports many other popular language like R. Community support is great.

The fact that you can use spyder and rstudio in the same software is a great advantage to improve your app development.

Anaconda  - Best Tool  For Data Science and Data Visualization.

Its easy to use because has the opportunity to choose the enviroment, version and a lot of other setting that are very useful for everyone.

I use Anaconda for 2 years with great satisfaction. It lacks some packages but that's still fine, it has so much credit already.

Preloaded libraries, support for multiple languages and environments, support for extended libraries, and simple integration of various tools, makes it a must have for coders.

Installation was easy, and the cost can't be beat. I really like the UI compared to other scripting or coding interfaces; it seems much more approachable.

Release notes can be handled extremely nicely, and the community on this platform is really inviting.

Great pace and performance. Comes with the most popular Python packages by default.

Setting up Anaconda and its components like Jupiter Notebook are quite easy with many tutorials available online, but even without that installation is easy.

The best Thing About anaconda is it is free to use.

If this is the case, I would very very like to know why that crash happened. Deleting an environment may lead some problems.

Great platform for me as a beginner to play with all the amazing Python tools. It looks like a great choice for pros too but I can't tell for sure.

In comparison to PyCharm and other IDEs, Jupiter Notebook runs tasks much faster. Supported multiple  Machine Learning libraries and Very easy to use.

I like the interface of Anaconda as it is so minimalistic and all options can be understood easily especially for beginners. Also, I love the short-cuts at Anaconda as it saves a lot of my time.

Once you update or set an environment, related updates are done. Comes with very popular and efficient programs.

If I have small ventures, it is the best place for me.

Aside from that it allows me to create multiple virtual environments with very minimal effort through its fantastic UI (user interface) which keeps the whole process relatively simple.

It can be a bit bulky sometimes, slowing down and lagging while you're working on your code. Especially when you are on a low-end system.

The Anaconda package comes with everything that you need to start using R or Python. All the most important tools and complements are integrated in an easy interface.

For new users could be confusing the way that anaconda install things and present the packages available to use.

How quickly it is to spin up and get people using it. Spoke natively living inside Slack was a godsend for our users.

The AI and Slack integration was the primary reason we moved off of our previous system. Everything in Spoke is clean and simple.

AI does help answer tickets, users can close their own tickets, the built in knowledge base is great.

Integration with Slack and being inside a single user interface that is already open is huge as well. Business analytics are clean, simple, and easily pulled.

The simplicity of the product and ease of implementation. Our customer service rep, Riciel, is very responsive and always willing to go above and beyond.

It has allowed us to have users take care of an issue themselves instead of having to submit a ticket and wait for us to get to it.

How you're able to build out 4 separate departments for the cost. I like how you can create workflow and processes.

Reporting, lack of features from traditional ticketing systems, some flows for user, admin portal.

At this size, you need to have a system to create and action on requests, but probably don't need the features, complexity or cost of something like Zendesk.

Easy to use after training. Get more time back into your day when Spoke answers a lot of frequently asked questions.

Amazing tool for everyday working-life with amazing customer service.

I like that it is accessible at all hours and that it is integrated into my company's Slack instance.

SPOKE is the best HelpDesk ticketing system I have ever used.

I enjoy the ease of use and that it's user friendly. I think it works great to interact staff and management.

The team all the sales and spin-up process is top notch and extremely responsive.

Merging requests is a minor piece that is missing currently. I know that SPOKE dev team will work it in.

Cannot forget the in tool analytics which help us understand where we are lacking or doing just fine.

I really like how great our rep is at Spoke. She is full of energy and very helpful.

I think that possibly sending links to staff that will not go directly to junk mail. Maybe discuss that obstacle when introducing the product.

Great way to automate frequently asked questions.

I love it when platforms are intuitive - 'keep in simple' and they do. Learning existing a new features are a snap, and Spoke provides excellent customer success support if I need help.

The software is relatively new so some features are limited. But their development cycle is very fast.

US Dollar

Anaconda is an open-source data science solution, which helps small to large enterprises, academic institutions and government organizations  develop and deploy machine learning models using high-performance tools and packages.

The application allows IT teams to perform predictive modelling and analyze financial time series. Professionals can manage integrated apps, packages and environments without using command line interface. Supervisors can grant access to the platform and track the packages most frequently used by the team members. Anaconda secures open-source pipelines by defining organization-wide security policies. With its vulnerability management tool, Anaconda Server, employees can reflect professional and public repositories including conda-forge, CRAN, and PyPI.

It offers various desktop integrations such as Jupyter, VSCode, RStudio, Spyder and more. Pricing for Anaconda is available on yearly subscriptions and on request. Support is extended via documentation. 

LongDescription

Predictive Modeling

Predictive Analytics

ML Algorithm Library

Model Training

Data Management

Please contact Anaconda for pricing details. 

Knowledge Base

2-10

11-50

51-200

201-500

501-1000

1000+

Anaconda

Documentation

AtSpoke is a cloud-based help desk and ticketing solution suitable for small and midsize companies to help them manage their work requests. The solution can be used across human resource, IT, office management and other departments. Key features include knowledge management, ticketing and AI-based self-service portal for employees.


AtSpoke offers a multi-channel chatbot that allows agents to respond to queries received via email, web, SMS and Slack. It also offers tools to create a centralized self-service knowledge base where employees can access relevant information. Employee queries are answered based on responses to previous questions and matching information available in the knowledge base.


Administrators can choose and apply privacy settings to teams to determine the access level for different sets of users. The auto-assign feature automatically assigns new tickets to available agents as  they come in.


The solution offers per user per month subscription plans and provides an online knowledge repository to users looking for basic information regarding askSpoke.



Document Storage

Access Controls/Permissions

IT Asset Management

Workflow Configuration

Rules-Based Workflow

Projections

Collaboration Tools

Automated Routing

Natural Language Processing

Data Import/Export

Process/Workflow Automation

Self Service Portal

Content Management

Multi-Channel Communication

Support Ticket Tracking

Role-Based Permissions

Email Management

Ticket Management

Activity Dashboard

Alerts/Notifications

Reporting & Statistics

Knowledge Base Management

Real-Time Chat

Service Level Agreement (SLA) Management

Chat/Messaging

Customizable Templates

Interaction Tracking

Alerts/Escalation

Customizable Branding

Chatbot

Reporting/Analytics

Machine Learning

Third Party Integrations

Document Management

Search/Filter

Starter: $3 per user, per month (1 team)

Standard: $5 per user, per month (up to 4 teams)

Plus: $8 per user, per month (unlimited number of teams)

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