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...data to be passed to and from running generators. The approach of sharing data using attributes pervades Python. Other approaches exist but are somewhat hackish in comparison. Another evolutionary step is to add a generator method to allow exceptions to be passed to a generator. Currently, there is no clean method for triggering exceptions from outside the generator. Also, generator exception passing helps mitigate the try/finally prohibition for generators. The need is especially acute for ...
...data into a database until it can be compared to the actual data. The actuals parser takes actual data from the National Climatic Data Center of the National Weather Service, which provides high, low, precipitation, and significant weather events for over 800 United States cities and inserts the data into the database. This process also scores the forecasts with the actual weather data, and places that information in the database. Once the data has been collected and scored, it is processed by t...
Location: Fully remote United Kingdom
About the role This is an exciting opportunity to help develop an industry-leading, SaaS artificial intelligence product in the legal sector, which requires a risk-taking, creative and “out of the box” thinker to push the boundaries of what is possible in law. Working between our Engineering & Machine Learning (ML) …
...data access tasks. Text, Text, Text Text processing is where Python really shines for us. Almost all the data handled at Gusto.com is text-based. From screen scraping GDS data to data mining vendors' websites, Python tools munge text day in and day out, and have yet to run into any problems with the language or it's performance. For these tasks, Python is fast. One of the tools currently being worked on is a localization system that allows generation of localized versions of hotel property des...
...Cleaning out sys and the "interpreter" module PEP:3139 Title:Cleaning out sys and the "interpreter" module Author:Benjamin Peterson <benjamin at python.org> Status:Rejected Type:Standards Track Created:04-Apr-2008 Python-Version:3.0 Contents Rejection Notice Abstract Rationale Specification Transition Plan Open Issues What should move? dont_write_bytecode Move to some to imp? Naming References Copyright Rejection Notice Guido's -0.5 put an end to this PEP...
Location: UK UK/EU based
Telecommuting: Yes
Senior Python Software Engineer (Python, React, Node, SQL) We’ve laid the foundations. Now it’s time to build. We are an award winning smart building start-up with patented tech looking to disrupt our market and scale globally. We now have an amazing opportunity for a talented and experienced full-stack software engineer …
Location: Munich, Bavaria Germany
Short Facts Join us on our journey: A driven Senior Software Engineer (d/f/m) with a deep technical understanding of your craft and a strong curiosity to understand the solution space to deliver the best possible solution paired with strong pragmatism and inert need for delivery now and iteratively. You share …
Location: Rome Italy
Are you a Data Scientist interested in further developing your professional experience while contributing to ending global hunger? Are you passionate about helping those in need? Would you like to join a global organisation investing in its people? If so, an exciting & fulfilling career awaits you! Join our diverse …
...database to store data. In ERP5 data is stored instead in Zope's object database. Zope eliminates the need for storage adapters or attribute mappings by providing transparent persistence of Python objects. Zope also speeds up object access: Reading the Zope object database is 10 to 100 times faster than retrieving a row from the fastest relational databases available on the market today. Finally, unlike relational databases, transactions in a Zope object database can last minutes without causing...
...Data Races Avoiding Copy-on-Write Rationale Impact Benefits Performance Backward Compatibility Accidental Immortality Stable ABI Accidental De-Immortalizing Alternate Python Implementations Security Implications Maintainability Specification Public Refcount Details Constraints Immortal Mutable Objects Implicitly Immortal Objects Un-Immortalizing Objects _Py_IMMORTAL_REFCNT Affected API Immortal Global Objects Object Cleanup Performance Regression Mitigation Possible Changes Documentation ...
Location: Remote Worldwide
Required Skills: Proficiency in writing optimized and clean Python code, with a strong understanding of Python libraries and frameworks like Flask and FastAPI with at least 5 years of experience Strong knowledge of PostgreSQL, including schema design, performance tuning, and advanced query optimization. Experience with other databases is a plus. …
...Data structures and implementation of the core concept Implementation of generator and coroutine semantics More on implementation Backwards compatibility Open Issues Out-of-order de-assignments Rejected Ideas Dynamic scoping linked to subroutine scopes Acknowledgements References Copyright Abstract Sometimes, in special cases, it is desired that code can pass information down the function call chain to the callees without having to explicitly pass the information as arguments to each ...
...Data is stored in a PostgreSQL database, and psycopg provides database connectivity. The middle tier is coded in Python and is driven by mod_python running under Apache 2. The user interface is rendered as HTML using the SimpleTAL template library. The administrative interface to the site is written using the Quixote Web application framework, and employs mod_scgi behind Apache 2. This interface provides the site administrators access to all of the functions they need to interact with user's pro...
...data collection from the tools using SECS, which is a communication protocol used in automation of electronics manufacturing facilities Dispatch of collected data to mainframe and PC databases. This data is used by manufacturing and engineering to monitor the product, and is also used to automatically tune the performance of the tools. Automation of logistical control by recording the arrival and departure of wafers at the tools. This had formerly been done manually. Presentation of a common u...
...database. This way we can add new tables to the overall API quickly and simply without having to worry about implementation details for any specific table. The API also uses meta-data to automatically validate and convert values passed to the database. This is done by a "normalizer" function that converts the Python data types being passed through the API into valid SQL values. The function also verifies types and formats that are not necessarily checked by the database or by Python, ...
Version: None
Released: Feb. 16, 2021
This is the release candidate of the eight maintenance release of Python 3.8 Note: The release you're looking at is Python 3.8.8rc1, a bugfix release for the legacy 3.8 series. Python 3.11 is now the latest feature release series of Python 3. Get the latest release of 3.11.x here. …
View Release Notes
Released: Feb. 19, 2021
This is the eight maintenance release of Python 3.8 Note: The release you're looking at is Python 3.8.8, a bugfix release for the legacy 3.8 series. Python 3.11 is now the latest feature release series of Python 3. Get the latest release of 3.11.x here. 3.8.8 introduces two security …
...data structure. Although its dictionaries can be used as lists, this caused unnecessary complexity in practice. Lua code is easy to follow for short scripts, but its syntax and minimal standard library makes it unmanageable for larger programs. In a very important project, the Finnish Civil Aviation Administration (FCAA) wanted to run their user interface layouts not just on the PowerPanel, but also in the context of a web browser. This requirement was important enough that it led to re-imple...
...data (normal C stack usage) with Python data (the state of the interpreted program) on the stack, the two are logically separate. They just happen to use the same stack. A real thread gets something approaching a process-sized stack because the implementation has no way of knowing how much stack space the thread will require. The stack space required for an individual frame is likely to be reasonable, but stack switching is an arcane and non-portable process, not supported by C. Once Python stop...
...data will be attached to a module object. Each interpreter will then create its own module object, keeping data separate. For testing the isolation, multiple module objects corresponding to a single extension can even be loaded in a single interpreter. Per-module state provides an easy way to think about lifetime and resource ownership: the extension module will initialize when a module object is created, and clean up when it's freed. In this regard, a module is just like any other PyObject *; t...