npbc
SQLite
npbc | SQLite | |
---|---|---|
13 | 40 | |
2 | 5,465 | |
- | - | |
4.3 | 0.0 | |
4 months ago | 7 days ago | |
Python | C | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
npbc
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Can programming be a hobby? What can I do with it?
Well, there will probably be problems in your life that have a programming solution. For example, we subscribe to something like 5 newspapers billed monthly but with different prices per paper per weekday. We verify the vendor's calculations and it's bit of a chore. Perfect thing to automate with a script!
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How often do you use libraries ?
Another good example is command line arguments. I got started with argv and argc and wrote a rudimentary application with that. At some point I decided to migrate it to Python, and continued to use sys.argv there. Now, we (family) rely on that application, and I use argparse (Python) most of the time. In the context of this application, I'm currently learning about deployment and distribution (hence you'll find my makeshift "installation" instructions in the README). Once I figure that out, I'll switch to a existing tried and tested system.
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I don’t know where to go from here
I'm currently on a new version of the newspaper bill calculator (https://github.com/eccentricOrange/npbc) and it's still teaching me tons (more file i/o, good/bad practices, databases, regex, CI/CD, different kinds of UI like CLIs etc etc)...
- Do you make your code clean (refactor) after you finished a project or while writing the code?
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How do you structure the writing of a program >200 lines?
The primary purpose of this project is for me to learn to use Flask. It usually takes me 4-5 ~rewrites~ revisions of a project to make it have some structure, and this one is only in v2. I've also had to learn a lot of stuff (Flask, virtually all of JS, some 80% of the CSS, the whole concept of a front- and back-end being split between a CLI and a browser, datetime module), so it's been somewhat tough to build as well. I don't always code like this.
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Pytest is failing on GitHub Actions but succeeds locally
The full codebase is available. At this point, I've completed most of the changes I need to make to the actual code, and push it to GitHub. https://github.com/eccentricOrange/npbc/tree/5c529dacbef0f9a1f8915a49dcca47834204aa09
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Please help me review a CLI application that I've written
Link: https://github.com/eccentricOrange/npbc/tree/efd5f37b82a42437a9ed0d61d20a8455dce6f0e0
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Is requesting a review appropriate here?
This post is not a request for review, but if you want to get a sense of the size/number of files, here is a GitHub repo at a specific commit (so that all discussion is consistent). Is it okay to make a post requesting a review of this code? If not, do you know a place I could request someone to take a look?
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I want to learn programming but keep giving up too quickly
Make sure that the "complex" problem you're solving is the same as your end goal. That's my main motivator: if I need an app to calculate newspaper bills, I need it. Learning about OOP (for example) outside of a problem where I really benefit from having it doesn't work so well for me.
SQLite
- Show HN: Roast my SQLite encryption at-rest
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A SQLite extension that brings column-oriented tables to SQLite
If you are into alternative storage engines for SQLite, there is also an LSM (Log-Structured Merge-tree) extension in the main repository that is not announced nor documented but seems to work. It’s based on the SQLite 4 project.
https://github.com/sqlite/sqlite/tree/master/ext/lsm1
https://www.charlesleifer.com/blog/lsm-key-value-storage-in-...
- SQLite License
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Ask HN: Where do I find good code to read?
The sqlite code base is really well done. Lots of documentation.
https://github.com/sqlite/sqlite
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Show HN: I wrote a RDBMS (SQLite clone) from scratch in pure Python
Especially the VM part: https://github.com/spandanb/learndb-py/blob/master/learndb/v...
Compare it with this: https://github.com/sqlite/sqlite/blob/master/src/vdbe.c
That's said, I'm curious how complete this LearnDB is. SQLite is hard to read not only it's old but also it covers a lot of SQL and following SQL spec makes hings complicated. SQLite has great test suite so it's nice if you run the suit against this implementation.
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SQLite Begin Concurrent
Correct, see the github mirror[1]. I don't know how well supported that feature is compared to main branch. If it was completely stable, then it would have already landed in the main stable branch. Clarity about the roadmap of that branch would be nice.
1. https://github.com/sqlite/sqlite/tree/begin-concurrent
- Why sqlite3 temp files were renamed 'etilqs_*' (2006)
- SQLite builds for WASI since 3.41.0
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SQLite VS sqlite_blaster - a user suggested alternative
2 projects | 17 Mar 2023
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Stop Saying “Technical Debt”
Including comprehensive comments, documentation and tests in a codebase takes time and effort.
Failing to do so creates code that is very difficult to maintain or for someone new to the codebase to understand.
However, time and effort may not be what the organization wants to pay for, and individuals may view their own incomprehensible code as something like job security, as they can't be replaced by someone else easily.
As an example of complicated code that's still well-documented, the open-source sqlite code is a good example, about 1/4 of the B-tree file is comments, every time a variable is defined there's a short note explaining what it's used for, every function has a comment header that's comprehensive, such that someone new to the codebase could construct a map of how it all works fairly quickly. It's a good model for how to avoid the problem:
https://github.com/sqlite/sqlite/blob/master/src/btree.c
What are some alternatives?
awesome-docker - :whale: A curated list of Docker resources and projects
sqlcipher - SQLCipher is a standalone fork of SQLite that adds 256 bit AES encryption of database files and other security features.
Newspaper-Bill-Calculator-v2 - App that calculates your monthly newspaper bill
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
lab-flask-tdd - NYU DevOps lab on Test Driven Development
RocksDB - A library that provides an embeddable, persistent key-value store for fast storage.
lab-flask-bdd - NYU DevOps lab on Behavior Driven Development with Flask and Behave
sqlite_orm - ❤️ SQLite ORM light header only library for modern C++
djangitos
bolt
processing - Source code for the Processing Core and Development Environment (PDE)
phpMyAdmin - A web interface for MySQL and MariaDB