TGTGInsighttelegram intelligenceLIVE / telegram public index
← Python Заметки

TGINSIGHT SIMILAR POSTS

Најди сличен содржај

Изворен канал @pythonotes · Post #65 · 8 апр.

Небольшой трик с регулярными выражениями который редко вижу в чужом коде. Допустим, вам нужно распарсить простой текст и вытащить оттуда пары имя+телефон. Вернуть всё это надо в виде списка словарей. Возьмем очень простой пример текста. >>> text = ''' >>> Alex:8999123456 >>> Mike:+799987654 >>> Oleg:+344456789 >>> ''' Соответственно, для выделения нужных элементов будем использовать группы. Получится такой паттерн: (\w+):([\d+]+) Как мы будем формировать словарь из найденных групп? >>> import re >>> results = [] >>> for match in re.finditer(r"(\w+):([\d+]+)", text): >>> results.append({ >>> "name": match.group(1), >>> "phone": match.group(2) >>> }) >>> print(results) [{'name': 'Alex', 'phone': '8999123456'}, ...] Можно немного сократить запись используя zip >>> results = [] >>> for match in re.finditer(r"(\w+):([\d+]+)", text): >>> results.append(dict(zip(['name', 'phone'], match.groups()))) Но есть способ лучше! Это именованные группы в regex. Можно в паттерне указать имя группы и результат сразу забрать в виде словаря. >>> for match in re.finditer(r"(?P<name>\w+):(?P<phone>[\d+]+)", text): >>> results.append(match.groupdict()) То есть всё что я сделал, это добавил в начале группы (внутри сбокочек) такую запись: (?P<group-name>...) Теперь найденная группа имеет имя и можно обратиться к ней как к элементу списка >>> name = match['name'] Либо забрать сразу весь словарь методом groupdict() >>> match.groupdict() #tricks#regex

Резултати

Пронајдени 4 слични објави

Пребарај: #denguefever

当前筛选 #denguefever清除筛选

📜 We are aware of the #DengueFever outbreak reported in Sokoto State. Based on a dynamic risk assessment, the current risk level of the dengue outbreak has been determined to be MODERATE. However, measures have been taken by the National Emerging Viral Haemorrhagic Diseases Technical Working Group and partners to control the outbreak and prevent the further spread. 🔗Press release https://ncdc.gov.ng/news/506/ncdc-on-alert-following-the-confirmation-of-the-dengue-fever-outbreak-in-sokoto-state.

Hashtags

In November 2025, 29 suspected cases of dengue fever were recorded, with 6 confirmed and 1 death reported. Between January and November 2025, a total of 735 suspected cases were reported across the country among both adults and children. These figures highlight the importance of continued vigilance and preventive action. Protect Yourself. Avoid mosquito bites by: ✅ Keeping your surroundings clean and free of stagnant water ✅ Supporting community clean-up efforts to reduce mosquito breeding sites ✅ Visit the nearest health facility early if you feel unwell Full Sitrep: https://ncdc.gov.ng/themes/common/files/sitreps/903d9215ad81cbdee39f6b098f3eea97.pdf #DengueFever#StaySafe # NCDCNigeria

Mosquitoes are carriers of various diseases, including #Malaria, #YellowFever, #DengueFever, and #ZikaVirus, with cases rising during the rainy season. You can protect yourself: ➡Eliminate stagnant water to prevent mosquito breeding ➡Use mosquito repellent and wear clothing that covers your arms and legs ➡Sleep under insecticide-treated mosquito nets ➡Keep drainages and gutters clear ➡Install screens on doors and windows #WorldMosquitoDay

Common Viral Haemorrhagic Fevers #VHFs include #LassaFever, #EbolaVirusDisease, #YellowFever, #DengueFever, #MarburgFever and #CrimeanCongoHaemorrhagicFever. What are the #InfectionPreventionandControl practices that need to be in place in the management of VHFs? 🔗Download our National Guideline on #IPC for #VHF https://ncdc.gov.ng/themes/common/docs/protocols/111_1579986179.pdf