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  • Practical Programming

    void Common but Deadly Mistakes of Database Optimization

    Classroom-tested by generations of students, this new edition of the popular intro to programming book is for anyone who wants to understand computer science.Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python: a language that's used across industries and platforms. Write programs to solve real-world problems, and come away with everything ... Leer más

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  • Seven Obscure Languages in Seven Weeks

    Rediscovering the Tools That Built the Future

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  • Introduction to Quantitative Social Science with Python

    Series series Chapman & Hall/CRC The Python Series
    Departing from traditional methodologies of teaching data analysis, this book presents a dual-track learning experience, with both Executive and Technical Tracks, designed to accommodate readers with various learning goals or skill levels. Through integrated content, readers can explore fundamental concepts in data analysis while gaining hands-on experience with Python programming, ensuring a ... Leer más

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  • Pythonic Programming

    Tips for Becoming an Idiomatic Python Programmer

    Make your good Python code even better by following proven and effective pythonic programming tips. Avoid logical errors that usually go undetected by Python linters and code formatters, such as frequent data look-ups in long lists, improper use of local and global variables, and mishandled user input. Discover rare language features, like rational numbers, set comprehensions, counters, and ... Leer más

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  • Data Science Essentials in Python

    Collect - Organize - Explore - Predict - Value

    Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis ... Leer más

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  • Complex Network Analysis in Python

    Recognize - Construct - Visualize - Analyze - Interpret

    Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network--such as recommendations on co-using cosmetic ... Leer más

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  • Data Science con Python

    dalle stringhe al machine learning, le tecniche essenziali per lavorare sui dati

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  • Haskell Design Patterns

    Take your Haskell and functional programming skills to the next level by exploring new idioms and design patterns

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  • Clean Code: A Handbook of Agile Software Craftsmanship

    A Handbook of Agile Software Craftsmanship

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