TypeSystem is a comprehensive data validation library that gives you:
- Data validation.
- Object serialization & deserialization.
- Form rendering.
- Marshaling validators to/from JSON schema.
- Tokenizing JSON or YAML to provide positional error messages.
- 100% type annotated codebase.
- 100% test coverage.
- Zero hard dependencies.
#python #html #serialization #validation #forms #deserialization
- Data validation.
- Object serialization & deserialization.
- Form rendering.
- Marshaling validators to/from JSON schema.
- Tokenizing JSON or YAML to provide positional error messages.
- 100% type annotated codebase.
- 100% test coverage.
- Zero hard dependencies.
#python #html #serialization #validation #forms #deserialization
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OpenBB Terminal is an awesome stock and crypto market terminal that has been developed for fun, while I saw my GME shares tanking.
#python #finance #terminal #cli #crypto #ml #stocks #investment
#python #finance #terminal #cli #crypto #ml #stocks #investment
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Developing and Testing an Asynchronous API with FastAPI and Pytest.
This tutorial looks at how to develop and test an asynchronous API with FastAPI, Postgres, pytest and Docker using Test-driven Development (TDD). We'll also use the Databases package for interacting with Postgres asynchronously.
#python #article #asyncio #fastapi
This tutorial looks at how to develop and test an asynchronous API with FastAPI, Postgres, pytest and Docker using Test-driven Development (TDD). We'll also use the Databases package for interacting with Postgres asynchronously.
#python #article #asyncio #fastapi
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Trio โ a friendly Python library for async concurrency and I/O.
The Trio project aims to produce a production-quality, permissively licensed, async/await-native I/O library for Python. Like all async libraries, its main purpose is to help you write programs that do multiple things at the same time with parallelized I/O. A web spider that wants to fetch lots of pages in parallel, a web server that needs to juggle lots of downloads and websocket connections simultaneously, a process supervisor monitoring multiple subprocesses... that sort of thing. Compared to other libraries, Trio attempts to distinguish itself with an obsessive focus on usability and correctness. Concurrency is complicated; we try to make it easy to get things right.
#python #async #event #loop #networking #io #trio #concurrency
The Trio project aims to produce a production-quality, permissively licensed, async/await-native I/O library for Python. Like all async libraries, its main purpose is to help you write programs that do multiple things at the same time with parallelized I/O. A web spider that wants to fetch lots of pages in parallel, a web server that needs to juggle lots of downloads and websocket connections simultaneously, a process supervisor monitoring multiple subprocesses... that sort of thing. Compared to other libraries, Trio attempts to distinguish itself with an obsessive focus on usability and correctness. Concurrency is complicated; we try to make it easy to get things right.
#python #async #event #loop #networking #io #trio #concurrency
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TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. It enables efficient, real-time data ingestion, processing, and monitoring of TB and even PB scale data per day, generated by billions of sensors and data collectors. TDengine differentiates itself from other time-seires databases with the following advantages:
- High-Performance
- Simplified Solution
- Cloud Native
- Ease of Use
- Easy Data Analytics
- Open Source
#c #python #sql #database #monitoring #metrics #bigdata #scalability #distributed
- High-Performance
- Simplified Solution
- Cloud Native
- Ease of Use
- Easy Data Analytics
- Open Source
#c #python #sql #database #monitoring #metrics #bigdata #scalability #distributed
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Memray is a memory profiler for Python. It can track memory allocations in Python code, in native extension modules, and in the Python interpreter itself. It can generate several different types of reports to help you analyze the captured memory usage data.
Notable features:
โข ๐ต๏ธโโ๏ธ Traces every function call so it can accurately represent the call stack, unlike sampling profilers.
โข โญ Also handles native calls in C/C++ libraries so the entire call stack is present in the results.
โข ๐ Blazing fast! Profiling slows the application only slightly. Tracking native code is somewhat slower, but this can be enabled or disabled on demand.
โข ๐ It can generate various reports about the collected memory usage data, like flame graphs.
โข ๐งต Works with Python threads.
โข ๐ฝ Works with native-threads (e.g. C++ threads in C extensions).
#python #profiler #memory #leak #detection
Notable features:
โข ๐ต๏ธโโ๏ธ Traces every function call so it can accurately represent the call stack, unlike sampling profilers.
โข โญ Also handles native calls in C/C++ libraries so the entire call stack is present in the results.
โข ๐ Blazing fast! Profiling slows the application only slightly. Tracking native code is somewhat slower, but this can be enabled or disabled on demand.
โข ๐ It can generate various reports about the collected memory usage data, like flame graphs.
โข ๐งต Works with Python threads.
โข ๐ฝ Works with native-threads (e.g. C++ threads in C extensions).
#python #profiler #memory #leak #detection
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