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Изворен канал @pythonotes · Post #169 · 21 окт.

А знаете ли вы, что в Bash есть особая переменная "$_" ? Из описания можно узнать, что в переменную "$_" помещается последний аргумент последней команды. Что-то знакомое? Конечно, в Python есть примерно тоже самое. Мы знаем, что дата первого релиза Bash (8 июня 1989) несколько раньше чем первый релиз Python (20 февраля 1991). Если учесть, что по задумке автора Python это агрегация самых успешных практик отовсюду, можно ли сказать что именно эта фишка к нему пришла из Bash? Ни подтверждения ни опровержения я пока не нашел. Давайте просто считать это совпадением 😉 А как это может быть полезно в Bash? Приведу простой пример, который оценят те, кто часто работает в терминале. Допустим, нам надо создать директорию и зайти в неё. Что обычно делаем? :~$ mkdir foldername :~$ cd foldername :~/foldername$ Как это сделать в одну команду? :~$ mkdir foldername && cd foldername :~/foldername$ Уже лучше, но хочется короче, без повторов. Вот тут и пригодится наша переменная. Напомню, что в неё сохраняется последний аргумент предыдущей команды. :~$ mkdir foldername && cd $_ :~/foldername$ _________________ PS. Символы "&&"" разделяют команды и означают, что требуется выполнить вторую команду только если первая завершилась успешно. #linux#tricks

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@meishi_sucai · Post #22862 · 27.02.2026 г., 07:36

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Data Science Jobs

@datasciencejobs · Post #2725 · 19.05.2025 г., 14:02

#vacancy#DataScience#remote#fulltime#Salmon Data Scientist (Junior+/Middle) 🌍 Preference will be given to candidates open to relocating to Manila; remote work is also possible with an initial working trip to Manila for 1–2 months Please note: we support remote work, but cannot hire candidates based in Russia or Belarus. Compensation: 4000-5000$ We’re looking for a thoughtful and detail-oriented Data Analyst / Data Scientist to join our team. In this role, you’ll work with large datasets, build clear visualizations, and deliver insights that directly shape decision-making while collaborating with analysts, engineers, and stakeholders across the company. Your future tasks: - Maintain and expand existing data science projects using Python, SQL, AWS, and GitLab - Analyze large datasets to uncover actionable insights and present them through dashboards and visual reports - Develop real-time monitoring tools to track key performance metrics - Collaborate cross-functionally with business analysts, software engineers, and stakeholders to understand requirements and deliver solutions What we expect from candidate: - 1+ years of experience in a similar data-focused role (data science, analytics, or related) - Strong SQL proficiency – able to write complex, optimized queries using joins, window functions, CTEs; experience with large-scale datasets is a plus - Proficient in Python for data science, using libraries such as Pandas, NumPy, and SciPy for analysis and automation - Solid grounding in statistical analysis – hypothesis testing, regression, distributions, and their application to real-world business use cases (e.g., A/B testing, forecasting) - Confident in data visualization – can build clear, effective visuals using Matplotlib, Seaborn, or tools like Tableau - Comfortable with version control systems – hands-on experience with GitLab (or similar tools like GitHub) - Experience with AWS is a plus Why join Salmon: - Passionate international team spanning the globe - Rapid professional growth. Merit (and merit only) rules the day - Reward for performance and long-term success of Salmon - Fast track to grow internationally - New office in Manila, Philippines - Relocation support for eligible candidates - Remote and hybrid options - Medical insurance, health and wellness benefits - Program of events and activities both online and in person 👉 More information and apply: @an_salmon

Data Science Jobs

@datasciencejobs · Post #2727 · 20.05.2025 г., 09:02

#vacancy#MachineLearning#remote#fulltime#Salmon Machine Learning Engineer 🌍 Preference will be given to candidates open to relocating to Manila; remote work is also possible with an initial working trip to Manila for 1–2 months Please note: we support remote work, but cannot hire candidates based in Russia or Belarus. Compensation: 4000-5000$ We’re looking for a curious and impact-driven Machine Learning Engineer to join our team and accelerate the development of robust, high-performing ML solutions across key business areas—including credit scoring, collection, antifraud, sales and other. This role combines hands-on development with strategic input, offering a chance to work on high-stakes, high-visibility projects from day one, collaborating with multiple departments and stakeholders to drive measurable business impact through better models What you'll do: - Own the end-to-end lifecycle of ML models: from EDA, feature generation, and hypothesis testing to production deployment and monitoring - Evaluate model performance and business impact, and iterate for continuous improvement - Explore and integrate new data sources (internal and external), identifying additional predictive signals - Contribute to advancements in modeling techniques, including geospatial and graph-based methods where relevant - Contribute to advancements in modeling techniques by exploring new algorithms and architectures What we’re looking for: - 2+ years of experience as a Machine Learning Engineer or Data Scientist, ideally in fintech or fast-paced product environments - Strong skills in Python and SQL; comfortable using Git - Solid foundation in classical ML techniques and Statistics; fluency in libraries, such as Pandas, Scikit-learn, NumPy, SciPy, Matplotlib/Seaborn/Plotly, Statsmodels, XGBoost/LightGBM/CatBoost etc. - Experience in credit risk modeling is a strong plus - Background in graph ML and/or experience with advanced geospatial analytics is an advantage - Experience working with AWS (or other cloud environments) is a plus Why join Salmon? What we’re building — Licensed neobank scaling modern financial services in Southeast Asia — Backed by global investors (ADQ, World Bank Group) with $60MM+ raised — Rapid product cycles: go from idea to launch in ~3 months — High-growth, high-impact market with global expansion potential What we offer — Remote or hybrid setup (GMT+5 to GMT+10 preferred) — New office in Manila with relocation support for eligible candidates — Competitive compensation in USD — Equity options and performance-based rewards — Medical insurance and wellness support — International team and fast career growth based on merit — Company-sponsored events and offsites 👉 More information and apply here: @an_salmon

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@meishi_sucai · Post #22982 · 30.03.2026 г., 01:55

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