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Planning Poker VS Python Examples

Compare Planning Poker VS Python Examples and see what are their differences

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Planning Poker logo Planning Poker

Open source implementation of planning poker game (collaborative online estimation/voting tool).

Python Examples logo Python Examples

Python Examples covers Python Basics, String Operations, List Operations, Dictionaries, Files, Image Processing, Data Analytics and popular Python Modules.
  • Planning Poker Landing page
    Landing page //
    2022-05-06
  • Python Examples Landing page
    Landing page //
    2023-08-27

Python Examples

This is a huge collection of Python Examples and Python Programs. Complete your Python Projects with the help of Python Code Examples that we present with lucid explanation.

In these Python Examples, we cover most of the regularly used Python Modules; Python Basics; Python String Operations, Array Operations, Dictionaries; Python File, Input & Output Operations; Python JSON Processing; Python GUI.

Python Examples โ€“ Module Wise

Python Basic Examples

  1. Python Basics
  2. Python Strings
  3. Python Lists
  4. Python Dictionary
  5. Python Files
  6. Python Logging
  7. Python SQLite
  8. Python OpenCV
  9. Python Pillow
  10. Python Pandas
  11. Python Numpy
  12. Python PyMongo

Python Examples

Pricing URL
-
$ Details
free
Platforms
Windows Mac OSX Linux Python
Release Date
2019 July

Planning Poker features and specs

  • Promotes Team Collaboration
    Planning Poker encourages team members to collaborate and share their perspectives on the complexity and effort required for each task, fostering better communication and understanding among the group.
  • Reduces Anchoring Bias
    By having team members independently select their estimates before sharing, Planning Poker minimizes the risk of anchoring bias, where the first estimate unduly influences subsequent ones.
  • Improves Estimation Accuracy
    Through discussion and consensus-building, Planning Poker often results in more accurate estimates compared to traditional methods, as it considers diverse viewpoints and expertise.
  • Encourages Active Participation
    Since every team member is required to provide an estimate, Planning Poker ensures that everyone actively contributes, increasing engagement and ownership of the estimation process.
  • Identifies Uncertainties Early
    The wide discrepancies in estimates can highlight areas of uncertainty or misunderstanding about the task, prompting early discussions and clarification.
  • Facilitates Learning
    Team members can learn from each other's insights and approaches during discussions, leading to a deeper understanding of the project and improving individual estimation skills.

Possible disadvantages of Planning Poker

  • Time-Consuming
    Planning Poker can be a lengthy process, especially for larger teams or when there are significant discrepancies in initial estimates, which may slow down the planning phase.
  • Requires Skilled Facilitation
    Effective facilitation is needed to keep the discussions focused and productive, and without it, the process can become chaotic or dominated by louder voices.
  • Potential for Groupthink
    Despite efforts to minimize bias, there is still a risk of groupthink, where the desire for consensus outweighs the presentation of dissenting opinions or novel ideas.
  • May Not Suit All Teams
    This method may not be suitable for all teams, especially those with significant differences in experience levels, as less experienced members may feel intimidated or undervalued.
  • Overemphasis on Consensus
    The focus on reaching a consensus may lead to compromises that don't necessarily reflect the most accurate or realistic estimates, sometimes diluting valuable input.
  • Difficulty in Estimating Complex Tasks
    For highly complex or innovative tasks where uncertainty is high, estimating accurately can be challenging, leading to frustration or misleading estimates.

Python Examples features and specs

  • Comprehensive Examples
    Python Examples provides a wide range of examples across different Python libraries and functionalities, which can be very beneficial for learners and practitioners looking for quick solutions or learning new techniques.
  • Ease of Access
    The website is user-friendly, making it easy for visitors to navigate through various topics and find the examples they need without much hassle.
  • Free Resource
    Python Examples is a free resource, making it an accessible tool for anyone wanting to learn Python without incurring additional costs.
  • Updated Content
    The site frequently updates its content to reflect changes and new features in Python, ensuring that users have access to up-to-date information.

Possible disadvantages of Python Examples

  • Limited Depth
    While the site offers many examples, these examples may sometimes lack the depth and detailed explanations necessary for complete beginners to fully understand the concepts.
  • No Interactive Learning
    The site primarily provides code snippets and text-based explanations, lacking interactive elements or exercises that can enhance the learning experience.
  • Inconsistent Detail
    Some sections may not be as detailed or comprehensive as others, leading to an inconsistent learning experience where users may find some topics more difficult to grasp without additional resources.
  • Dependency on External Sources
    For a more thorough understanding or in-depth tutorials, users might still need to refer to external resources such as books or other educational platforms.

Analysis of Python Examples

Overall verdict

  • Python Examples (pythonexamples.org) is a solid free resource for beginners and intermediate learners who want quick, practical code snippets to understand Python syntax and common programming tasks without wading through lengthy tutorials.

Why this product is good

  • Offers concise, ready-to-run code examples covering a wide range of Python topics and standard library functions
  • Free and accessible without requiring account registration
  • Organized by topic, making it easy to find examples for specific concepts like loops, strings, or file handling
  • Useful for quick reference when you need a syntax reminder or a working code snippet
  • Good supplementary resource alongside more in-depth tutorials or courses

Recommended for

  • Beginners learning Python syntax and basic programming concepts
  • Developers who need a quick code snippet or syntax reminder
  • Students working on coursework or assignments looking for example implementations
  • Self-taught programmers supplementing structured courses with practical examples
  • Anyone searching for straightforward, no-frills Python code samples

Planning Poker videos

Understanding Planning Poker

More videos:

  • Review - Agile Estimating and Planning: Planning Poker - Mike Cohn

Python Examples videos

No Python Examples videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Planning Poker and Python Examples)
Project Management
100 100%
0% 0
Python Tools
0 0%
100% 100
Agile Project Management
100 100%
0% 0
Text Editors
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Planning Poker seems to be more popular. It has been mentiond 2 times since March 2021. 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.

Planning Poker mentions (2)

  • Reaching consensus and empowering discussions in your technical team
    Planning Poker can serve as a tool to poll the team for certain topics, and get to know their opinions quickly while empowering discussions. - Source: dev.to / over 4 years ago
  • Do you use planning poker in scrum?
    I have used planning poker at Boeing, Disney and Liberty Mutual. I am not sure how you would get team understanding of the issues without a tool like planning poker. I use planningpoker.com because the team members don't have to make an account to us it. When asked, the teams all have liked it. Source: about 5 years ago

Python Examples mentions (0)

We have not tracked any mentions of Python Examples yet. Tracking of Python Examples recommendations started around Mar 2021.

What are some alternatives?

When comparing Planning Poker and Python Examples, you can also consider the following products

Planning poker online - Poker pointing made simple for distributed teams

PythonAnywhere - Host, run, and code Python in the cloud: PythonAnywhere

PlanITpoker - PlanITpoker is a cool on-line planning poker app that helps Agile project teams estimate projects easily.

Learn Python The Hard Way - One of the best guides to learn Python & coding in general

Firepoker - Agile Planning Poker powered by Firebase and AngularJS

Scrumpoker Online - Scrumpoker is an online and free-to-use poker planning tool where teams can do estimation about their projects.