Built for teams of all sizes, it helps you manage sprints, client projects, and internal requests without the clutter of disconnected tools.
Visualize work with Kanban boards or Gantt charts, break down complex projects with subtasks, and customize task fields to fit your teamโs workflow. Built-in Git and SVN support let developers manage code right alongside their tasks, while wikis, file sharing, and real-time notifications keep everyone on the same page.
Whether youโre replacing legacy tools or streamlining your tech stack, Backlog is quick to roll out, easy to use, and flexible enough to support cross-functional collaboration at any scale.
Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Backlog is recommended for software development teams, marketing teams, and any organization looking for a tool that supports collaborative work while providing comprehensive project management features. It's particularly beneficial for small to medium-sized businesses or teams within larger organizations that need customizable workflows and have a need for integrated version control.
Backlog's answer:
Backlog combines project management with issue tracking and version control in one simple, intuitive platform. Unlike tools that focus on just tasks or just code, Backlog bridges the gap between teams and developers, making collaboration seamless for everyone.
Backlog's answer:
Backlog is affordable, built for all skill levels, and designed to be powerful without being overwhelming. Teams can manage projects, track bugs, review code, and collaborate visually (with Gantt charts, Kanban boards, and wikis) all in one place. Itโs easier to get started with than many enterprise tools, but it still scales to handle complex projects.
Backlog's answer:
Our core audience includes software development teams, IT departments, and project managers who need both project visibility and technical depth. At the same time, marketing, design, and business teams also rely on Backlog to stay connected with developers in a shared workspace.
Backlog's answer:
Backlog was created by Nulab, a Japan-based software company, to make teamwork easier and more enjoyable. We needed a tool where developers and non-developers could work together without friction. Since its launch, Backlog has grown into a global product that helps thousands of teams deliver projects more efficiently.
Backlog's answer:
Backlog is trusted by teams at Buzzfeed, Rakuten, and SoftBank, along with thousands of startups, agencies, and enterprises worldwide. Whether itโs a small consultancy or a large global brand, Backlog helps teams of all sizes manage projects with clarity and collaboration.
Backlog's answer:
Backlog's backend is written using the programming language Scala. This robust foundation helps Backlog run smoothly, even when managing large projects or complex tasks.
I'm on the free plan, all the basic options to run a project are there and the mail notification/comment system works very well. The user interface is good. My only complaint is that you cannot have more than one person assigned to a task. It's their philosophy and they say that if you want to have more assignees you should either duplicate the task or create subtask (only for paid plans).
Based on our record, Pandas seems to be a lot more popular than Backlog. While we know about 220 links to Pandas, we've tracked only 3 mentions of Backlog. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 14 days ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 5 months ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 6 months ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 6 months ago
Pythonโs Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether youโre experienced or just starting, Pythonโs clear style makes it a good choice for diving into machine learning. Actionable Tip: If youโre new to Python,... - Source: dev.to / 8 months ago
18. Backlog (Paid) Backlog is a project management and bug-tracking tool designed for teams looking for a streamlined approach to defect management. - Source: dev.to / 10 months ago
Backlog โ Everything your team needs to release great projects in one platform. Free plan offers 1 Project with 10 users & 100MB storage. - Source: dev.to / about 4 years ago
Backlog (Project Management Tool) In my work, every day I have to use this software which is intended for team project management. If you have a team, try it once. It has a lot of features. Https://backlog.com/. - Source: dev.to / over 4 years ago
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