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  1. Prikvačeni tweet
    20. ruj 2019.

    We've grown so much in the last few months that seems only fair to use to highlight all the past and future amazing Python Pizza that are coming closer to you 🔥 use the form in the site to get in touch with us and organise the next event!

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  2. proslijedio/la je Tweet
    9. sij

    Hey Pythonistas! 🐍 Don’t miss the chance to attend ! Buy now your ticket and save money 👉 Come and join us 😎 See you in Florence!

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  3. 27. stu 2019.

    Help us shape our (and others) next conferences by answering this quick poll 👇 🏃

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  4. 26. stu 2019.
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  5. 15. stu 2019.
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  6. proslijedio/la je Tweet
    14. stu 2019.

    🔥 Berlin is looking for organisers!!!! If you enjoyed Berlin and Hamburg events and you want to shape the next Berlin 🍕 get in touch! Mentoring/coaching is included and I believe and had a great experience!

    Prikaži ovu nit
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  7. 9. stu 2019.

    Super proud of the organisers and ! Big hugs and claps for today! 🍕🍕🍕🍕🍕🍕🍕🍕🍕🍕🍕

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  8. 6. stu 2019.

    We created the new web-based PizzaChat and everyone is loving it. In the next phase, we are going to release the freshly baked PizzaChat mobile apps to keep up with the mobile revolution by

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  9. 6. stu 2019.

    A typical Data Science pipeline consists of data pre-processing, feature engineering, extraction, and selection. As well as, selecting an appropriate algorithm and tuning hyperparameters in order to obtain the best results by

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  10. 6. stu 2019.

    Engineers love to discuss. Even single details are subject to extensive arguments. Some of these discussions lead to interesting outcomes and good practices emerge from them. But some others end up being a waste of time by

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  11. 5. stu 2019.

    NNs tend to memorize the training data and can release information accidentally or can potentially be reverse engineered. This can be of significant concern when sensitive data is used for training, while on the other hand there is huge value in such data for social good.

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  12. 5. stu 2019.

    Transpiling is the action of compile your code form a language to another language. In Javascript Babel is the most famous and successful example of this technology. Transpiling is useful to convert code to either the next or to the previous version of the language by

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  13. 4. stu 2019.

    This is just pure A W E S O M E N E S S 🍕

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  14. 4. stu 2019.

    Did you ever copy paste test data between your unit tests to prevent your self from writing foo, bar ,123 and “123” again and again. You don’t have to. With property based testing you can define almost every input, from integers to Pandas-Dataframes.

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  15. 4. stu 2019.

    Recently in a an attempt to improve my Python Skills I looked at different mathematical algorithms and how they can be programmed in Python. In this talk I will discuss those algorithms, how Python allows us to implement them and what I learnt along the way by

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  16. 4. stu 2019.

    Have you ever wondered what is happening inside the core of Python when you execute your daily scripts? What is the magic that allow us to write simple lines to achieve great things? by

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  17. 4. stu 2019.

    Python is mutable to the core. Internals of objects and data structures are not only introspectable at runtime but also mostly modifiable. However, proper immutable collections do provide significant unique advantages, too by

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  18. 2. stu 2019.

    Many teams have technical debt problems. Releasing new features always bring new code to the project. Code refactoring helps engineers to fight technical debt by

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  19. 2. stu 2019.

    If the primary goal is to find “a better job”, then you might end up at a job, which is not really better for you. The idea is to find a job, which will inspire, will fulfil your needs, will make you stronger and happier by

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  20. 1. stu 2019.

    Transitioning from the professional’s to a manager’s role is a challenging task for many leaders in tech. He shares the practical tips and tricks on building strong teams, and explains the human aspects of teamwork.

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  21. 1. stu 2019.

    A wrapping introduction to decorators by

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