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Is Python an Appropriate Programming Language for Teaching Programming in Secondary Schools?

References CSE 231: Introduction to programming 1. Department of Computer Science, College of Engineering, Michigan State University, 2014, Available from: http://cse.msu.edu/~cse231 GUTTAG, John V. Introduction to Computation and Programming Using Python (Spring 2013 Edition). Massachusetts Institute of Technology. Cambridge: Press, 55 Hayward Street, MA 02142. ISBN 978-0-262-51963-2. BLAHO, Andrej. Programovanie v Pythone [online]. [cit. 2015-02-03]. Available from: http://python

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The first record of Dracunculus mulbus (Nematoda: Dracunculidae) in the Papuan olive python Apodora papuana (Ophidia: Boidae)

[1] Jones, H. I., Mulder, E. (2007): Dracunculus mulbus n. sp. (Nematoda: Spirurida) from the water python Liasis fuscus (Serpentes: Boidae) in northern Australia. Syst. Parasitol., 66: 195–205 http://dx.doi.org/10.1007/s11230-006-9058-2 [2] Moravec, F. (2006): Dracunculoid and Anguillicoloid Nematodes Parasitic in Vertebrates. Academia, Praugue, 634 pp. [3] Uetz, P., Hallermann, J. (2007): The new reptile database. World Wide Web electronic publication, www.reptiledatabase.org, 14 May

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Network Automation and Abstraction using Python Programming Methods

Layer with Multivendor support) https://napalm.readthedocs.io/en/latest/ 11. Edelman J., Lowe S., Oswalt M.: Network Programmability and Automation, O’Reilly Media, Inc., 2017 12. GNS3 emulator, https://www.gns3.com/ 13. S. Lowe, J. Edelman, M. Oswalt, “Network Programmability and Automation, Skills for the Next-Generation Network Engineer”, O’Reilly Media, December 2015 14. K. Jambunatha, “Design and implement Automated Procedure to upgrade remote network devices using Python,” 2015 IEEE International Advance Computing Conference (IACC

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Raspberry Pi Based Weather Station

5. REFERENCES [1] E. Matthes, Python Crash Course: A Hands-On, Project-Based Introduction to Programming, No Starch Press, 2015. [2] K. Kearney, Creative Projects with Raspberry Pi, Hatchette Co., 2017. [3] Al Swigart, Automate the Boring Stuff With Python: Practical Programming for Total Beginners, No Strach press, 2017. [4] B. Lubanovic, Introducing Python: Modern Computing in Simple Packages, O’Reilly Media Inc., 2015.

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pycdec: A Python Interface to cdec

References Bazrafshan, M., T. Chung, and D. Gildea. Tuning as linear regression. In Proc. of NAACL-HLT , pages 543-547. Association for Computational Linguistics, 2012. Behnel, S., R. Bradshaw, C. Citro, L. Dalcin, D. S. Seljebotn, and K. Smith. Cython: The best of both worlds. Computing in Science Engineering , 13(2):31-39, March-April 2011. Bird, S., E. Klein, and E. Loper. Natural language processing with Python. O'Reilly Media, 2009. URL http://nltk.org. http

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Use of the Deferred Approach in Scientific Applications

References P. A. Osipov and A. N. Borisov; Abnormal action detection based on Markov models; Automatic Control and Computer Sciences; Volume 41 / 2007 - Volume 45 / 2011; ISSN 0146-4116 (Print) 1558-108X (Online); May 05, 2011. Millman, K. Jarrod; Aivazis, Michael; Python for Scientists and Engineers. University of California, Berkeley. Computational Science & Engineering, IEEE. Volume 13 Issue 2. ISSN: 1521-9615. Event-Driven Programming for Embedded Systems by Miro Samek, Newnes

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Data Management Techniques for Blade Vibration Analysis

) [12] “Blade Tip Timing System” Rotadata brochure, Derby (2014). [13] P. Russhard “BTT MultiTool software” http://emtd-measurement.com/ (2015) [14] P. Russhard “BTT Data Zeroing Techniques”, MFPT and ISA’s 59th International Instrumentation Symposium (2013). [15] P. A. Blume “The LabVIEW style book”. Pearson Education (2007). [16] R. Johansson “Introduction to Scientific Computing in Python”, github.com/jrjohansson/scientific-python-lectures (2014) [17] W. McKinney “Python for data analysis: Data wrangling with Pandas, NumPy, and

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Qualitative: Python Tool for MT Quality Estimation Supporting Server Mode and Hybrid MT

. International Institute of Information Technology, Natural Language Processing Association, India, 2014. URL https://www.dfki.de/lt/publication{\_}show.php?id=7605. Avramidis, Eleftherios, Lukas Poustka, and Sven Schmeier. Qualitative: Open source Python tool for Quality Estimation over multiple Machine Translation outputs. The Prague Bulletin of Mathematical Linguistics, 102:5-16, 2014. URL http://ufal.mff.cuni.cz/pbml/102/art-avramidis-poustka-schmeier.pdf. Avramidis, Eleftherios, Maja Popovic, and Aljoscha Burchardt. DFKI’s experimental

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Qualitative: Open Source Python Tool for Quality Estimation over Multiple Machine Translation Outputs

Machine Learning to Interactive Data Mining. In Principles of Data Mining and Knowledge Discovery , pages 537–539, 2004. Federico, Marcello, Nicola Bertoldi, and Mauro Cettolo. IRSTLM: an open source toolkit for handling large scale language models. In Interspeech , pages 1618–1621. ISCA, 2008. Giménez, Jesús and Lluís Marquez. Asiya: AnOpen Toolkit for Automatic Machine Translation (Meta-)Evaluation. The Prague Bulletin of Mathematical Linguistics , 94:77–86, 2010. doi: 10. 2478/v10108-010-0022-6. Goodstadt, Leo. Ruffus: a lightweight Python library for

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Cost–Efficient Phase Noise Measurement

, Rohde & Schwarz, 2008. [8] HUGHES, J. M. : Real World Instrumentation with Python, O’Reilly Media, 2011. [9] LEE, T. H.-HAJIMIRI, A. : Oscillator Phase Noise: A Tutorial, IEEE J. Solid-State Circuits 35 No. 3 (Mar 2000), 326-336. [10] LEESON, D. B. : A Simple Model of Feedback Oscillator Noise Spectrum, Proc. IEEE, 54 No. 2 (Feb 1966), 329-330.

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