Contribute to CPython
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The presentation from SPbPython community / PiterPy meetup about a process of contribution to CPython, CPython GitHub repository's bots.
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The presentation tells about the dictionaries in Python, reviews the implementation of dictionary in CPython 2.x, dictionary in CPython 3.x, and also recent changes in CPython 3.6. In addition to CPython the dictionaries in alternative Python implementations such as PyPy, IronPython and Jython are reviewed.
Python dict: прошлое, настоящее, будущее
Презентация со встречи сообщества SPb Python Interest Group рассказывающая об устройстве словарей в Python.
В презентации рассмотрена работа словаря в CPython 2.x, словаря в CPython 3.x, а также рассмотрены изменения в CPython 3.6.
Помимо CPython рассмотрены версии словаря в альтернативных реализациях Python, таких как PyPy, IronPython и Jython.
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3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
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- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
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Contribute to CPython
- 1. Contribute to CPython Dmitry Alimov 2018
- 2. Quick Guide 1. Create an issue (on b.p.o.) that describes your change* 2. Create a new branch in Git 3. Work on changes (e.g. fix a bug or add a new feature) 4. Run tests and make patchcheck 5. Commit and push changes to your GitHub fork 6. Create Pull Request on GitHub to merge a branch from your fork 7. Review and address comments on your Pull Request 8. When your changes are merged, you can delete the PR branch 9. Celebrate contributing to CPython! :) * If an issue is trivial (e.g. typo fixes), or if an issue already exists, you can skip this step.
- 3. CLA unsigned
- 4. Python Contributor Agreement Form
- 6. CLA signed
- 7. Create new issue on b.p.o. (bugs.python.org)
- 9. <!-- issue-number: bpo-32743 --> https://bugs.python.org/issue32743 <!-- /issue-number --> b.p.o. issue link added by bot: Pull request
- 12. The Knights Who Say "Ni" https://github.com/python/the-knights-who-say-ni A bot to check if the author of a pull request to a Python project has signed the PSF CLA.
- 13. The Knights Who Say "Ni" https://www.youtube.com/watch?v=zIV4poUZAQo
- 14. Bedevere https://github.com/python/bedevere This bot is meant to help identify issues with a CPython pull request
- 16. Miss Islington https://github.com/python/miss-islington Bot for backporting CPython Pull Requests
- 17. Miss Islington
- 18. Last steps Close the issue on b.p.o. Delete the PR branch After merge Celebrate contributing to CPython! :)