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Category: "Python"

Books

  1. Effective Pandas
    Tom Augspurger

    A series on writing effective, idiomatic pandas.

  2. Apache Spark & Geodata
    Learn to use Apache Spark (with PySpark) for Big Data GeoAnalytics of OpenStreetMap and other Geospatial Data
    Shoaib Burq, Dr. Kashif Rasul, and Zaeem Burq

    Learn to use Apache Spark for Analyzing OpenStreetMap and other Geospatial Data

  3. Python for Programmers
    Get up to speed - in a practical sense - with the Python programming language
    Mark McDonnell

    Modules, Packages, Magic Methods, Idiomatic Python, Linting, Logging, Comprehensions, Concurrency, Parallelism, Threads, Testing... it's all here Note: this is Python 3.5 we're dealing with here. Not 2.x of any kind.

  4. Tips and tricks for Web Application Developers, Professional Penetration Testers and Security Analysts on how to perform a generic and custom Web Application Penetration testing using Python.

  5. Build, Think, & Create with Raspberry Pi in the Classroom
    A Teacher Toolkit Full Of Practical Advice and Curriculum Connections
    Michael C. Renne

    Have you heard the Raspberry Pi is a great tool to ignite student STEM/STEAM learning? Not sure how to use it in your classroom? This book is designed specifically for educators with no prior experience working with the Raspberry Pi, computer programming, or electronics. The goal is to help you understand how to bring the maker movement into your classroom by building, thinking, and creating with the Raspberry Pi.

  6. Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise.

  7. A Journey With Python 3
    Md Johirul Islam
    No Description Available
  8. Want a quick start way of generating those reports you've been asked for about the performance of your FutureLearn course? Or maybe fancy the idea of pulling together a simple dashboard to review course progress? This recipe book should get you started...

  9. Python 201
    Intermediate Python
    Michael Driscoll

    Python 201 is the sequel to my first book, Python 101. If you already know the basics of Python and now you want to go to the next level, then this is the book for you! This book is for intermediate level Python programmers only. There won't be any beginner chapters here. This book is based on  Python 3.

  10. De MATLAB a Python
    P.J. De Los Santos

    Herramienta didáctica para la transición de MATLAB a Python

  11. Elm per Pythonisti (stale)
    Avventure di un pythonista nel mondo dei linguaggi staticamente tipati.
    Matteo Bertini

    Elm è un linuguaggio funzionale che si compila verso JavaScript ed è nato per creare interfacce web responsive. Con Elm è possibile dire addio alla maggior parte degli errori a runtime, niente più undefined, niente più paura a fare un refactoring. E tutto questo con le prestazioni di React.

  12. Use numpy to explore the quantum realm. 

  13. Cyber physical systems are becoming increasingly complex and networked. As the number of system components increases and their complexity grows, so does the time required for system integration. [...] A large part of the complexity in system integration lies in the interaction of the system components however. As a consequence, traditional integration strategies are becoming increasingly inefficient. The solution to the problem is to prioritize system level integration automation and supplement it with traditional automation (if required).

  14. This book is aimed at teaching how to make measurements and analyze the data using Python. The book has been written for Agricultural Engineering students and has been used in a Master level course in the University of Helsinki. It can be read online for free at: http://pyageng.mpastell.com/book/

  15. Create GUI Applications with Python & Qt5 (5th Edition, PyQt5)
    The hands-on guide to building desktop apps with Python.
    Martin Fitzpatrick

    The hands-on guide to building desktop apps with Python and Qt.