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Python 3.7’s Impact on OrderedDict: Redundancy Looming?

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th?q=Will Ordereddict Become Redundant In Python 3 - Python 3.7's Impact on OrderedDict: Redundancy Looming?

Python is an ever-evolving programming language that has been continuously receiving updates to improve its functionality and efficiency. In the release of Python 3.7, there have been several changes made that have impacted one of its key modules – OrderedDict.

As a developer, you may be accustomed to using OrderedDict as a method to maintain the order of items in a dictionary. However, with the introduction of new syntax in Python 3.7, concerns have arisen that redundancy may be looming in the use of this module.

In this article, we will explore the impact of Python 3.7 on OrderedDict and how these changes may affect your coding practices. We will delve into the new feature of using the built-in function, dict, as a replacement for OrderedDict and examine the potential benefits and drawbacks of this new usage.

If you are a seasoned Python developer or just starting out, the changes made to OrderedDict in Python 3.7 are vital information to ensure that you are writing efficient code without redundancy. Join us on this journey to discover how Python 3.7’s impact on OrderedDict could affect your coding practices and strategies for future-proofing your projects.

th?q=Will%20Ordereddict%20Become%20Redundant%20In%20Python%203 - Python 3.7's Impact on OrderedDict: Redundancy Looming?
“Will Ordereddict Become Redundant In Python 3.7?” ~ bbaz

The Introduction

Python 3.7 has arrived with numerous updates and one of these updates has us wondering if redundancy is looming for OrderedDicts. Let’s dive into what this means, how it will impact your use of Python, and what opinions are forming around this new development.

Understanding Python’s OrderedDicts

An OrderedDict is essentially a dictionary that remembers the order in which elements were added. The reason for its existence stems from traditional dictionaries not keeping this information. In Python 3.6 and under, the keys were stored in a separate list, while the values were stored in the dictionary. This list allowed for the order of the dictionary items to be tracked.

Similarities between Built-In Dictionaries and Ordered Dictionaries

Ordered dictionaries have all the same features as built-in dictionaries: getting, setting, removing and looking up of key-value pairs. However, when a call to enumerate() or iterate() is made, values are returned in the order they were created in OrderedDicts but not necessarily ordered dictionaries.

Python 3.7’s Impact on OrderedDict

Python 3.7 chose to incorporate a change that allows dictionaries to keep their insertion order which made the need for an unordered dictionary null. Essentially, the creation of an OrderedDict meant to prevent these out-of-order instances among dictionaries has now become redundant since python 3.7 provides this feature for its built-in dictionaries. While maintained in the most recent version of Python, there are less reasons to rely on it persistently.

Performance Differences

On average the performance differences between one implementation of the other were relatively minute. However, given certain data situations, one implementation may provide better performance than the other. Testing is recommended to determine which implementation may perform better for a particular usage scenario.

Opinion on the Future of Python’s OrderedDict

Many developers have mixed feelings about Python 3.7’s optimization for built-in dictionaries. Some believe that this change may eventually lead to the depreciation of OrderedDicts, while others feel that it still has a place in the Python ecosystem. It is not anticipated that certain elements in the scientific and cryptography software will be affected much by this change.

Deprecated Functions

Plans have yet to be made for officially deprecating the OrderedDict function altogether. As of now, the original functionality of it is being maintained but only time will tell if things will change in the future. The syntactical features of the library will remain as well, even if parts of its functionality no longer provide distinct advantages over the standard dict module.

When to Use OrderedDict over Built-In Dictionaries

Given its present implementation, there are not substantial reasons to continue using OrderedDict. Certain situations will still use the original functionality provided and want to maintain the order in which keys are added to a dictionary. For instance, if one uses JSON object creation and wants to preserve ordering upon translation back to a Python dictionary, they can revert to using OrderedDicts. OrderedDict also remains useful in version control and diff/patch scenarios. If you are working with a collection of items where order matters, then using OrderedDict makes sense.

Examples of When to Transition to a Built-In Dictionary

In cases where ordering doesn’t particularly matter (ie random data sets with no specific structure compared to a chronological record), going forward with the use of built-in dictionaries is expedient. In short, if you are certain that ordering will not be important, the optimized implementation through built-in dictionaries is likely the better choice.

Comparison Chart

OrderedDict Built-In Dictionary with Insertion Order
Keeps insertion order established Establishes insertion order for Python’s traditional dictionaries
Optimized for small amount of usage over standard dictionaries Optimized for large consumption while maintaining order.
Perfect for custom serialization and deserialization Preferred when order is not particularly important.
Method of implementing patches/diffs and a way to keep track of items returning to databases A new optimized method of dealing with ordered dictionaries that nullified the need altogether in the majority of cases

The Conclusion

In conclusion, it bears noting that backwards compatibility was an integral consideration in the design of Python 3.7, so the feature of ordered dictionaries persists. However, a functionality that was once imperative, now only carries importance in niche instances where dict or something else might face observable performance issues. In reality, the use of OrderedDict may begin to decline as more users transition to optimized built-in dictionaries. This optimization feature is one that will likely be adopted by most developers and is a great example of Python’s ability to adapt and improve as necessary.

Thank you for reading through this in-depth analysis on Python 3.7’s Impact on OrderedDict. It is undeniably an essential topic to be discussed as Python is a widely used language, and the changes can significantly impact many tools and services that rely heavily on it.

The introduction of ordered dictionaries in Python offers an efficient and easy solution to keep track of data in ordered nodes. However, the changes have brought about some redundancies that may cause issues in the future, especially in data processing and memory allocation.

While there are concerns about redundancy looming due to the changes in OrderedDict, it is still too soon to tell whether it will have a significant impact positively or negatively. Nonetheless, it is always necessary to stay informed and updated about the current changes in the language to ensure smooth operations of your systems and services.

Stay tuned for more insightful articles on Python and other programming languages.

People Also Ask about Python 3.7’s Impact on OrderedDict: Redundancy Looming?

  • What is Python 3.7?
  • What is an OrderedDict in Python?
  • How does Python 3.7 impact OrderedDict?
  • Is redundancy looming with Python 3.7?
  • What are the benefits of using OrderedDict in Python?


  1. What is Python 3.7?
    Python 3.7 is a version of the Python programming language released in June 2018. It includes several new features and optimizations that improve its performance and make it easier to use.
  2. What is an OrderedDict in Python?
    An OrderedDict is a subclass of the built-in dictionary in Python. Unlike a regular dictionary, the order in which items are added to an OrderedDict is preserved. This means that when you iterate over the items in an OrderedDict, they will be returned in the order in which they were added.
  3. How does Python 3.7 impact OrderedDict?
    Python 3.7 introduces a new feature called dictionary order preservation which makes regular dictionaries behave like OrderedDicts. This means that the order in which items are added to a regular dictionary is now preserved, just like it is in an OrderedDict.
  4. Is redundancy looming with Python 3.7?
    No, redundancy is not looming with Python 3.7. The new dictionary order preservation feature is designed to make regular dictionaries behave more like OrderedDicts, but it does not replace the need for OrderedDicts. If you need to preserve the order in which items are added to a dictionary, you should still use an OrderedDict.
  5. What are the benefits of using OrderedDict in Python?
    The main benefit of using an OrderedDict in Python is that it preserves the order in which items are added to the dictionary. This can be useful in situations where you need to maintain a specific order, such as when processing data or generating output.