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DTSTART;VALUE=DATE:20230208
DTEND;VALUE=DATE:20310101
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CREATED:20210214T071225Z
LAST-MODIFIED:20210214T071225Z
UID:808-1675814400-1924991999@euroregiune.org
SUMMARY:Discover the natural
DESCRIPTION:T\n\nThis website is part of Mitsubishi Power’s continuous efforts to improve communicate with existing and potential customers and other interested parties globally. Aligned with that business purpose and for most effective utilization. \n\n\nThe language\, at its very core\, emphasised extensively on code readability. With its concise and syntax\, it allowed developers to express ideas and concepts without writing tons of lines code (as would be the case in lower-level languages like C or Java). Its simplicity a given\, Python seamlessly integrates with other programming languages (like offloading CPU-intensive tasks to C/C++)\, making it an added bonus to polyglot developers is ready to use this shit\n.. \n\n\n\n\nOne of the main driving points behind\nPython’s meteoric growth.\nMiranda H. -Founder \n\n\n\nAmong the major reasons why Python is “slow”\, it really boils down to 2 — Python is interpreted as opposed to compiled\, ultimately leading to slower execution times; and the fact that it is dynamically typed (data types of variables are automatically inferred by Python during execution). Take\, for example\, TensorFlow\, a Machine Learning library available in Python. These libraries were actually written in C++ and made available in Python\, sort of forming a Python “wrapper” around the C++ implementation. The same goes for Numpy and\, to an extent\, even Caer. One of the major reasons for Python’s slowness is the presence of GIL (Global Interpreter Lock) which allows only one thread to execute at a time. While this boosts the performance of single threading\, it places a limitation on parallelism where developers have to implement multiprocessing programs as opposed to multi-threaded ones\, to improve speeds.
URL:https://euroregiune.org/proiecte/discover-the-natural/
LOCATION:Dhaka Venue\, 12/A\, Miranda Halim City Town Hall\, NYC\, Dhaka\, Mirpur\, 1230\, Bangladesh
CATEGORIES:Festivals
ATTACH;FMTTYPE=image/jpeg:https://euroregiune.org/wp-content/uploads/2021/02/02.jpg
ORGANIZER;CN="Ashraful Oli":MAILTO:rock.ashraful@gmail.com
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230208
DTEND;VALUE=DATE:20310101
DTSTAMP:20260430T145211
CREATED:20210214T071321Z
LAST-MODIFIED:20210214T071321Z
UID:810-1675814400-1924991999@euroregiune.org
SUMMARY:New Year Vote 2021
DESCRIPTION:T\n\nThis website is part of Mitsubishi Power’s continuous efforts to improve communicate with existing and potential customers and other interested parties globally. Aligned with that business purpose and for most effective utilization. \n\n\nThe language\, at its very core\, emphasised extensively on code readability. With its concise and syntax\, it allowed developers to express ideas and concepts without writing tons of lines code (as would be the case in lower-level languages like C or Java). Its simplicity a given\, Python seamlessly integrates with other programming languages (like offloading CPU-intensive tasks to C/C++)\, making it an added bonus to polyglot developers is ready to use this shit\n.. \n\n\n\n\nOne of the main driving points behind\nPython’s meteoric growth.\nMiranda H. -Founder \n\n\n\nAmong the major reasons why Python is “slow”\, it really boils down to 2 — Python is interpreted as opposed to compiled\, ultimately leading to slower execution times; and the fact that it is dynamically typed (data types of variables are automatically inferred by Python during execution). Take\, for example\, TensorFlow\, a Machine Learning library available in Python. These libraries were actually written in C++ and made available in Python\, sort of forming a Python “wrapper” around the C++ implementation. The same goes for Numpy and\, to an extent\, even Caer. One of the major reasons for Python’s slowness is the presence of GIL (Global Interpreter Lock) which allows only one thread to execute at a time. While this boosts the performance of single threading\, it places a limitation on parallelism where developers have to implement multiprocessing programs as opposed to multi-threaded ones\, to improve speeds.
URL:https://euroregiune.org/proiecte/new-year-vote-2021/
LOCATION:Dhaka Venue\, 12/A\, Miranda Halim City Town Hall\, NYC\, Dhaka\, Mirpur\, 1230\, Bangladesh
CATEGORIES:Conference
ATTACH;FMTTYPE=image/jpeg:https://euroregiune.org/wp-content/uploads/2021/02/01.jpg
ORGANIZER;CN="Ashraful Oli":MAILTO:rock.ashraful@gmail.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230208
DTEND;VALUE=DATE:20310101
DTSTAMP:20260430T145211
CREATED:20210214T101217Z
LAST-MODIFIED:20210214T101217Z
UID:863-1675814400-1924991999@euroregiune.org
SUMMARY:New Year Vote 2 2021
DESCRIPTION:T\n\nThis website is part of Mitsubishi Power’s continuous efforts to improve communicate with existing and potential customers and other interested parties globally. Aligned with that business purpose and for most effective utilization. \n\n\nThe language\, at its very core\, emphasised extensively on code readability. With its concise and syntax\, it allowed developers to express ideas and concepts without writing tons of lines code (as would be the case in lower-level languages like C or Java). Its simplicity a given\, Python seamlessly integrates with other programming languages (like offloading CPU-intensive tasks to C/C++)\, making it an added bonus to polyglot developers is ready to use this shit\n.. \n\n\n\n\nOne of the main driving points behind\nPython’s meteoric growth.\nMiranda H. -Founder \n\n\n\nAmong the major reasons why Python is “slow”\, it really boils down to 2 — Python is interpreted as opposed to compiled\, ultimately leading to slower execution times; and the fact that it is dynamically typed (data types of variables are automatically inferred by Python during execution). Take\, for example\, TensorFlow\, a Machine Learning library available in Python. These libraries were actually written in C++ and made available in Python\, sort of forming a Python “wrapper” around the C++ implementation. The same goes for Numpy and\, to an extent\, even Caer. One of the major reasons for Python’s slowness is the presence of GIL (Global Interpreter Lock) which allows only one thread to execute at a time. While this boosts the performance of single threading\, it places a limitation on parallelism where developers have to implement multiprocessing programs as opposed to multi-threaded ones\, to improve speeds.
URL:https://euroregiune.org/proiecte/new-year-vote-2-2021/
LOCATION:Dhaka Venue\, 12/A\, Miranda Halim City Town Hall\, NYC\, Dhaka\, Mirpur\, 1230\, Bangladesh
CATEGORIES:Meeting
ORGANIZER;CN="Ashraful Oli":MAILTO:rock.ashraful@gmail.com
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DTSTART;VALUE=DATE:20230208
DTEND;VALUE=DATE:20310101
DTSTAMP:20260430T145211
CREATED:20210214T101247Z
LAST-MODIFIED:20210214T101247Z
UID:865-1675814400-1924991999@euroregiune.org
SUMMARY:Discover the natural 2
DESCRIPTION:T\n\nThis website is part of Mitsubishi Power’s continuous efforts to improve communicate with existing and potential customers and other interested parties globally. Aligned with that business purpose and for most effective utilization. \n\n\nThe language\, at its very core\, emphasised extensively on code readability. With its concise and syntax\, it allowed developers to express ideas and concepts without writing tons of lines code (as would be the case in lower-level languages like C or Java). Its simplicity a given\, Python seamlessly integrates with other programming languages (like offloading CPU-intensive tasks to C/C++)\, making it an added bonus to polyglot developers is ready to use this shit\n.. \n\n\n\n\nOne of the main driving points behind\nPython’s meteoric growth.\nMiranda H. -Founder \n\n\n\nAmong the major reasons why Python is “slow”\, it really boils down to 2 — Python is interpreted as opposed to compiled\, ultimately leading to slower execution times; and the fact that it is dynamically typed (data types of variables are automatically inferred by Python during execution). Take\, for example\, TensorFlow\, a Machine Learning library available in Python. These libraries were actually written in C++ and made available in Python\, sort of forming a Python “wrapper” around the C++ implementation. The same goes for Numpy and\, to an extent\, even Caer. One of the major reasons for Python’s slowness is the presence of GIL (Global Interpreter Lock) which allows only one thread to execute at a time. While this boosts the performance of single threading\, it places a limitation on parallelism where developers have to implement multiprocessing programs as opposed to multi-threaded ones\, to improve speeds.
URL:https://euroregiune.org/proiecte/discover-the-natural-2/
LOCATION:Dhaka Venue\, 12/A\, Miranda Halim City Town Hall\, NYC\, Dhaka\, Mirpur\, 1230\, Bangladesh
CATEGORIES:Conference,Festivals
ORGANIZER;CN="Ashraful Oli":MAILTO:rock.ashraful@gmail.com
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DTEND;TZID=UTC:20301231T170000
DTSTAMP:20260430T145211
CREATED:20210210T115127Z
LAST-MODIFIED:20210210T115127Z
UID:289-1675843200-1924966800@euroregiune.org
SUMMARY:The adventures awaiting
DESCRIPTION:T\n\nThis website is part of Mitsubishi Power’s continuous efforts to improve communicate with existing and potential customers and other interested parties globally. Aligned with that business purpose and for most effective utilization. \n\n\nThe language\, at its very core\, emphasised extensively on code readability. With its concise and syntax\, it allowed developers to express ideas and concepts without writing tons of lines code (as would be the case in lower-level languages like C or Java). Its simplicity a given\, Python seamlessly integrates with other programming languages (like offloading CPU-intensive tasks to C/C++)\, making it an added bonus to polyglot developers is ready to use this shit\n.. \n\n\n\n\nOne of the main driving points behind\nPython’s meteoric growth.\nMiranda H. -Founder \n\n\n\nAmong the major reasons why Python is “slow”\, it really boils down to 2 — Python is interpreted as opposed to compiled\, ultimately leading to slower execution times; and the fact that it is dynamically typed (data types of variables are automatically inferred by Python during execution). Take\, for example\, TensorFlow\, a Machine Learning library available in Python. These libraries were actually written in C++ and made available in Python\, sort of forming a Python “wrapper” around the C++ implementation. The same goes for Numpy and\, to an extent\, even Caer. One of the major reasons for Python’s slowness is the presence of GIL (Global Interpreter Lock) which allows only one thread to execute at a time. While this boosts the performance of single threading\, it places a limitation on parallelism where developers have to implement multiprocessing programs as opposed to multi-threaded ones\, to improve speeds.
URL:https://euroregiune.org/proiecte/the-adventures-awaiting/
LOCATION:Dhaka Venue\, 12/A\, Miranda Halim City Town Hall\, NYC\, Dhaka\, Mirpur\, 1230\, Bangladesh
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/jpeg:https://euroregiune.org/wp-content/uploads/2021/02/03.jpg
ORGANIZER;CN="Ashraful Oli":MAILTO:rock.ashraful@gmail.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230208T080000
DTEND;TZID=UTC:20301231T170000
DTSTAMP:20260430T145211
CREATED:20210214T101403Z
LAST-MODIFIED:20210214T101403Z
UID:869-1675843200-1924966800@euroregiune.org
SUMMARY:The adventures awaiting 2
DESCRIPTION:T\n\nThis website is part of Mitsubishi Power’s continuous efforts to improve communicate with existing and potential customers and other interested parties globally. Aligned with that business purpose and for most effective utilization. \n\n\nThe language\, at its very core\, emphasised extensively on code readability. With its concise and syntax\, it allowed developers to express ideas and concepts without writing tons of lines code (as would be the case in lower-level languages like C or Java). Its simplicity a given\, Python seamlessly integrates with other programming languages (like offloading CPU-intensive tasks to C/C++)\, making it an added bonus to polyglot developers is ready to use this shit\n.. \n\n\n\n\nOne of the main driving points behind\nPython’s meteoric growth.\nMiranda H. -Founder \n\n\n\nAmong the major reasons why Python is “slow”\, it really boils down to 2 — Python is interpreted as opposed to compiled\, ultimately leading to slower execution times; and the fact that it is dynamically typed (data types of variables are automatically inferred by Python during execution). Take\, for example\, TensorFlow\, a Machine Learning library available in Python. These libraries were actually written in C++ and made available in Python\, sort of forming a Python “wrapper” around the C++ implementation. The same goes for Numpy and\, to an extent\, even Caer. One of the major reasons for Python’s slowness is the presence of GIL (Global Interpreter Lock) which allows only one thread to execute at a time. While this boosts the performance of single threading\, it places a limitation on parallelism where developers have to implement multiprocessing programs as opposed to multi-threaded ones\, to improve speeds.
URL:https://euroregiune.org/proiecte/the-adventures-awaiting-2/
LOCATION:Dhaka Venue\, 12/A\, Miranda Halim City Town Hall\, NYC\, Dhaka\, Mirpur\, 1230\, Bangladesh
CATEGORIES:Workshop
ORGANIZER;CN="Ashraful Oli":MAILTO:rock.ashraful@gmail.com
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