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#programmingjourney — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #programmingjourney, aggregated by home.social.

  1. 👶💾 Ah yes, the thrilling tale of 86-DOS: a young programmer's quest to create a "small" operating system that would eventually become the bug-riddled backbone of the PC world. 🎉🤦‍♂️ Brace yourselves for an epic journey from #QDOS to MS-DOS, where the real innovation was selling it to Microsoft.
    nemanjatrifunovic.substack.com #86DOS #MSDOS #OperatingSystems #TechHistory #ProgrammingJourney #HackerNews #ngated

  2. 👶💾 Ah yes, the thrilling tale of 86-DOS: a young programmer's quest to create a "small" operating system that would eventually become the bug-riddled backbone of the PC world. 🎉🤦‍♂️ Brace yourselves for an epic journey from #QDOS to MS-DOS, where the real innovation was selling it to Microsoft.
    nemanjatrifunovic.substack.com #86DOS #MSDOS #OperatingSystems #TechHistory #ProgrammingJourney #HackerNews #ngated

  3. 👶💾 Ah yes, the thrilling tale of 86-DOS: a young programmer's quest to create a "small" operating system that would eventually become the bug-riddled backbone of the PC world. 🎉🤦‍♂️ Brace yourselves for an epic journey from #QDOS to MS-DOS, where the real innovation was selling it to Microsoft.
    nemanjatrifunovic.substack.com #86DOS #MSDOS #OperatingSystems #TechHistory #ProgrammingJourney #HackerNews #ngated

  4. 👶💾 Ah yes, the thrilling tale of 86-DOS: a young programmer's quest to create a "small" operating system that would eventually become the bug-riddled backbone of the PC world. 🎉🤦‍♂️ Brace yourselves for an epic journey from #QDOS to MS-DOS, where the real innovation was selling it to Microsoft.
    nemanjatrifunovic.substack.com #86DOS #MSDOS #OperatingSystems #TechHistory #ProgrammingJourney #HackerNews #ngated

  5. 👶💾 Ah yes, the thrilling tale of 86-DOS: a young programmer's quest to create a "small" operating system that would eventually become the bug-riddled backbone of the PC world. 🎉🤦‍♂️ Brace yourselves for an epic journey from #QDOS to MS-DOS, where the real innovation was selling it to Microsoft.
    nemanjatrifunovic.substack.com #86DOS #MSDOS #OperatingSystems #TechHistory #ProgrammingJourney #HackerNews #ngated

  6. Discover the key traits of skilled programmers and learn how to identify and become one yourself. From problem-solving skills to a collaborative spirit, this comprehensive guide offers actionable insights and tips for aspiring coders. Whether you're just starting or looking to elevate your skills, embrace the journey toward mastery with confidence and enthusiasm. #SkilledProgrammer #CodingSkills #ProgrammingJourney
    medium.com/@sanjay.mohindroo66

  7. 🎉 Just finished learning C#! 💻🚀 Excited to start creating amazing applications with this powerful language. t.co/ytOwCgtXXe #coding #CSharp #programmingJourney t.co/nmeFxo6MQW

    via Twitter twitter.com/nctrnm

  8. 🎉 Just finished learning C#! 💻🚀 Excited to start creating amazing applications with this powerful language. t.co/ytOwCgtXXe #coding #CSharp #programmingJourney t.co/nmeFxo6MQW

    via Twitter twitter.com/nctrnm

  9. 🎉 Just finished learning C#! 💻🚀 Excited to start creating amazing applications with this powerful language. t.co/ytOwCgtXXe #coding #CSharp #programmingJourney t.co/nmeFxo6MQW

    via Twitter twitter.com/nctrnm

  10. 🎉 Just finished learning C#! 💻🚀 Excited to start creating amazing applications with this powerful language. t.co/ytOwCgtXXe #coding #CSharp #programmingJourney t.co/nmeFxo6MQW

    via Twitter twitter.com/nctrnm

  11. 🎉 Just finished learning C#! 💻🚀 Excited to start creating amazing applications with this powerful language. t.co/ytOwCgtXXe #coding #CSharp #programmingJourney t.co/nmeFxo6MQW

    via Twitter twitter.com/nctrnm

  12. At the age of 11, I was only a year into my programming journey.

    Nevertheless, I took on the challenging task of creating billing software for my father's pharmacy. This challenge pushed me beyond my limits and taught me how to interact with users, manage and present data. I even had to learn how to control a printer using escape sequences.

    🧵👇 #SoftwareEngineering #ProgrammingJourney #KeyProjects #ProfoundLearnings

  13. At the age of 11, I was only a year into my programming journey.

    Nevertheless, I took on the challenging task of creating billing software for my father's pharmacy. This challenge pushed me beyond my limits and taught me how to interact with users, manage and present data. I even had to learn how to control a printer using escape sequences.

    🧵👇 #SoftwareEngineering #ProgrammingJourney #KeyProjects #ProfoundLearnings

  14. hello everyone:

    This example showcases the basic steps involved in training and evaluating a machine learning model using scikit-learn in Python.

    discord.gg/nGBpfMHX4u

    #basics #machinelearning #artificialintelligence #programmingjourney

  15. Introducing LongMemory.jl: A Julia Package for Long Memory Time Series Analysis 🖥️📚📈📊

    I am happy to announce that after several months of getting to understand the language better, I have finally published my first Julia registered package: LongMemory.jl. 🙂 This package is the result of my research on long memory time series analysis, which is a fascinating topic in econometrics and statistics. Long memory models are useful for capturing the persistence and dependence of many real-world phenomena, such as inflation, interest rates, volatility, network traffic, and environmental data.

    LongMemory.jl makes it easy to generate, estimate, and forecast long memory models in Julia. It supports various types of models, such as fractional differencing, cross-sectional aggregation, and stochastic duration shocks. It also provides functions for testing the presence of long memory, computing the Hurst exponent, and simulating long memory processes. The package is fully documented and includes classical data examples, such as the Nile River minima. 🌊

    The package can be installed easily from the Julia general registry. I have prepared a short video that shows how to install the package and generate long memory diagnostics plots for the Nile River minima dataset. The Nile River minima is a famous example of a long memory time series.

    I hope you find LongMemory.jl useful and practical. I welcome any feedback, suggestions, or contributions to improve the package. You can contact me or open an issue on GitHub. Thank you for your interest and feedback!

    #julialang #programming #programmingjourney #longmemory #timeseriesanalysis #timeseries #econometrics #statistics @[email protected] @[email protected]

  16. Introducing LongMemory.jl: A Julia Package for Long Memory Time Series Analysis 🖥️📚📈📊

    I am happy to announce that after several months of getting to understand the language better, I have finally published my first Julia registered package: LongMemory.jl. 🙂 This package is the result of my research on long memory time series analysis, which is a fascinating topic in econometrics and statistics. Long memory models are useful for capturing the persistence and dependence of many real-world phenomena, such as inflation, interest rates, volatility, network traffic, and environmental data.

    LongMemory.jl makes it easy to generate, estimate, and forecast long memory models in Julia. It supports various types of models, such as fractional differencing, cross-sectional aggregation, and stochastic duration shocks. It also provides functions for testing the presence of long memory, computing the Hurst exponent, and simulating long memory processes. The package is fully documented and includes classical data examples, such as the Nile River minima. 🌊

    The package can be installed easily from the Julia general registry. I have prepared a short video that shows how to install the package and generate long memory diagnostics plots for the Nile River minima dataset. The Nile River minima is a famous example of a long memory time series.

    I hope you find LongMemory.jl useful and practical. I welcome any feedback, suggestions, or contributions to improve the package. You can contact me or open an issue on GitHub. Thank you for your interest and feedback!

    #julialang #programming #programmingjourney #longmemory #timeseriesanalysis #timeseries #econometrics #statistics @[email protected] @[email protected]

  17. Introducing LongMemory.jl: A Julia Package for Long Memory Time Series Analysis 🖥️📚📈📊

    I am happy to announce that after several months of getting to understand the language better, I have finally published my first Julia registered package: LongMemory.jl. 🙂 This package is the result of my research on long memory time series analysis, which is a fascinating topic in econometrics and statistics. Long memory models are useful for capturing the persistence and dependence of many real-world phenomena, such as inflation, interest rates, volatility, network traffic, and environmental data.

    LongMemory.jl makes it easy to generate, estimate, and forecast long memory models in Julia. It supports various types of models, such as fractional differencing, cross-sectional aggregation, and stochastic duration shocks. It also provides functions for testing the presence of long memory, computing the Hurst exponent, and simulating long memory processes. The package is fully documented and includes classical data examples, such as the Nile River minima. 🌊

    The package can be installed easily from the Julia general registry. I have prepared a short video that shows how to install the package and generate long memory diagnostics plots for the Nile River minima dataset. The Nile River minima is a famous example of a long memory time series.

    I hope you find LongMemory.jl useful and practical. I welcome any feedback, suggestions, or contributions to improve the package. You can contact me or open an issue on GitHub. Thank you for your interest and feedback!

    #julialang #programming #programmingjourney #longmemory #timeseriesanalysis #timeseries #econometrics #statistics @[email protected] @[email protected]

  18. Introducing LongMemory.jl: A Julia Package for Long Memory Time Series Analysis 🖥️📚📈📊

    I am happy to announce that after several months of getting to understand the language better, I have finally published my first Julia registered package: LongMemory.jl. 🙂 This package is the result of my research on long memory time series analysis, which is a fascinating topic in econometrics and statistics. Long memory models are useful for capturing the persistence and dependence of many real-world phenomena, such as inflation, interest rates, volatility, network traffic, and environmental data.

    LongMemory.jl makes it easy to generate, estimate, and forecast long memory models in Julia. It supports various types of models, such as fractional differencing, cross-sectional aggregation, and stochastic duration shocks. It also provides functions for testing the presence of long memory, computing the Hurst exponent, and simulating long memory processes. The package is fully documented and includes classical data examples, such as the Nile River minima. 🌊

    The package can be installed easily from the Julia general registry. I have prepared a short video that shows how to install the package and generate long memory diagnostics plots for the Nile River minima dataset. The Nile River minima is a famous example of a long memory time series.

    I hope you find LongMemory.jl useful and practical. I welcome any feedback, suggestions, or contributions to improve the package. You can contact me or open an issue on GitHub. Thank you for your interest and feedback!

    #julialang #programming #programmingjourney #longmemory #timeseriesanalysis #timeseries #econometrics #statistics @[email protected] @[email protected]

  19. Introducing LongMemory.jl: A Julia Package for Long Memory Time Series Analysis 🖥️📚📈📊

    I am happy to announce that after several months of getting to understand the language better, I have finally published my first Julia registered package: LongMemory.jl. 🙂 This package is the result of my research on long memory time series analysis, which is a fascinating topic in econometrics and statistics. Long memory models are useful for capturing the persistence and dependence of many real-world phenomena, such as inflation, interest rates, volatility, network traffic, and environmental data.

    LongMemory.jl makes it easy to generate, estimate, and forecast long memory models in Julia. It supports various types of models, such as fractional differencing, cross-sectional aggregation, and stochastic duration shocks. It also provides functions for testing the presence of long memory, computing the Hurst exponent, and simulating long memory processes. The package is fully documented and includes classical data examples, such as the Nile River minima. 🌊

    The package can be installed easily from the Julia general registry. I have prepared a short video that shows how to install the package and generate long memory diagnostics plots for the Nile River minima dataset. The Nile River minima is a famous example of a long memory time series.

    I hope you find LongMemory.jl useful and practical. I welcome any feedback, suggestions, or contributions to improve the package. You can contact me or open an issue on GitHub. Thank you for your interest and feedback!

    #julialang #programming #programmingjourney #longmemory #timeseriesanalysis #timeseries #econometrics #statistics @[email protected] @[email protected]

  20. Diving deep into a coding marathon today – fueled by coffee and a playlist of favorite coding tunes. 💻☕️