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Cincinnati Magazine taps into the DNA of the city, exploring shopping, dining, living, and culture and giving readers a ringside seat on the issues shaping the region.
Fast Python aggressively rehashes the basics of Python programming in order to dispel myths and misconceptions about how to write fast code. Readers equipped with the lessons from this book will be able to test, diagnose, and optimize out performance bottlenecks in their own work. For each algorithm discussed, readers will walk through numerous progressively faster methods of programming it, all while picking up bits of fundamental knowledge about time complexity, memory efficiency, data structures, multi-threading, and vectorization. As such, this book is relevant to veterans looking refresh their methods and to computer science students navigating Algorithms 101. This book maintains a high standard of reproducibility. All of the graphics, tables, and code profiles contained in this book are fully reproducible and available to anyone in a public GitHub repository.
Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage’s API, and the source code is plug-and-play. Automated Trading with R explains automated trading, starting with its mathematics and moving to its computation and execution. You will gain a unique insight into the mechanics and computational considerations taken in building a back-tester, strategy optimizer, and fully functional trading platform. The platform built in this book can serve as a complete replacement for commercially available platforms used by retail traders and small funds. Software c...
Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environment Key Features Follow practical Python recipes to acquire, visualize, and store market data for market research Design, backtest, and evaluate the performance of trading strategies using professional techniques Deploy trading strategies built in Python to a live trading environment with API connectivity Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDiscover how Python has made algorithmic trading accessible to non-professionals with unparalleled expertise and practical insights from Jason S...
Algorithmic Trading with Python discusses modern quant trading methods in Python with a heavy focus on pandas, numpy, and scikit-learn. After establishing an understanding of technical indicators and performance metrics, readers will walk through the process of developing a trading simulator, strategy optimizer, and financial machine learning pipeline. This book maintains a high standard of reprocibility. All code and data is self-contained in a GitHub repo. The data includes hyper-realistic simulated price data and alternative data based on real securities. Algorithmic Trading with Python (2020) is the spiritual successor to Automated Trading with R (2016). This book covers more content in less time than its predecessor due to advances in open-source technologies for quantitative analysis.
Papers in this issue: (1) Gregory L. Thompson: Coding-switching as style-shifting; (2) Manvender Kaur & Sarimah Shamsudin: Extracting noun forms: A lesson learnt; (3) Mohammad Ali Salmani Nodoushan: Temperament as an indicator of language achievement; (4) Negmeldin Alsheikh & Hala Elhoweris: United Arab Emirates (UAE) high school students' motivation to read in English as a foreign language; (5) Farhat Jabeen, M. Asim Rai & Sara Arif: A corpus based study of discourse markers in British and Pakistani speech; (6) Diego Gabriel Krivochen: The Quantum Human Computer Hypothesis and Radical Minimalism: A brief introduction to Quantum Linguistics; (7) Abbas Ali Rezaee & Elham Kermani: Essay raters' personality types and rater reliability; (8) Kristen L. Pratt: Book Review: Jørgensen, J. N., (Ed.). (2010). Love Ya Hate Ya: The Sociolinguistic Study of Youth Language and Youth Identities. Newcastle, UK: Cambridge Scholars. [286pp; ISBN 1-4438-2061-X (hardcover)].
Papers in this issue:(1) Jesús García Laborda & Miguel Fernández Álvarez: Teachers' opinions towards the integration of oral tasks in the Spanish University Examination; (2)Oksana Laleko:Restructuring of verbal aspect in Heritage Russian: Beyond lexicalization; (3) Yu-Cheng Lee:Comparison of politeness and acceptability perceptions of request strategies between Chinese learners of English and native English speakers; (4) Kunal Kamal Kumar: Development and application of an instrument to find out the linguistic background of employees in MNCs; (5) Amelia Maria Cava: Abstracting science: A corpus-based approach to research article abstracts; (6) Reima Al-Jarf: Helping medical students with online videos; (7) Mohammad Ali Salmani Nodoushan & Nafiseh Khakbaz: Theses 'Discussion' sections: A structural move analysis; (8) Hossein Karami & Mohammad Ali Salmani Nodoushan: Differential Item Functioning (DIF): Current problems and future directions; (9) Forough Rahimi: Book Review
Papers in this issue: Mohammad Ali Salmani Nodoushan & Hamed Montazeran, The book review genre: A structural move analysis; Jessica L. Reid, Questioning a world standard English; Huda Al-Mansoob, Socio-cultural and religious boundaries: Can teaching cognitive stylistics be fully implemented in Arab/Muslim universities?; Mohammed Ayodeji Ademilokun, Nigerian undergraduate football fans' discourse: Visuals as Communication tools; Ricard Viñas-de-Puig, Mayangna Yulbarangyang Balna & Elena Benedicto, Linguistic and technical training as a community empowerment tool: The case of the Mayangna linguists' team in Nicaragua; Derya Fazila Agis, Gender and politeness: Politeness strategies in the popular Turkish series "Avrupa Yakası" ("European Side"); Yuliana Natsir, Language encounters in the workplace of Banci community; Reza Mobashshernia, Book Review; Forough Rahimi, Book Review
Papers in this issue by: Mohammad Ali Salmani Nodoushan (pp. 1-17); Diana Fauzia Sari & Yunisrina Qismullah Yusuf (pp. 18-36); P. Lindhout, G.J. Teunissen & M.P. Lindhout (pp. 37-56); Jiemin Bu (pp. 57-80); Noparat Tananuraksakul (pp. 81-98); Yasunari Fujii (pp. 99-126); and Azizeh Chalak (pp. 127-136)
Eman Safadi & Ghaleb Rababah (1 - 38); Johanna Ennser-Kananen (39 - 66); Sedat Maden (67 - 86); Jiin-Yih Yeo & Su-Hie Ting (87 - 106); Yesim Papers in this issue by Bektas-Cetinkaya (107 - 122); Mohammad Ali Salmani Nodoushan (123 - 136); Kellie Rolstad, Jeff MacSwan & Kate S. Mahoney (137 - 150); Forough Rahimi (151 - 154); Servet Celik & Mustafa Kerem Kobul (155 - 157)