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[DOC File]EC220
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The course is practice-oriented and requires active student involvement in its activities. The following methods and forms of study are used in the course: practice sessions (4 hours a week, conducted in a computer class) regular homework assignments. Each assignment takes from 2 to 4 hours to complete including the required readings.
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[DOCX File]Big Data Machine Learning - Carey Business School
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Focus will be on understanding the subtle differences in each technique. This course will be hands-on with weekly homework assignments and a final presentation geared towards fully immersing students in the data science process. Students will program in Python (e.g. Pandas, NumPy, Scikit-Learn, Matplotlib, pattern, NLTK, etc).
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[DOC File]Manual - NTNU
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Title: Manual Author: Even Solbraa Last modified by: Even Solbraa Created Date: 12/15/2001 8:37:00 PM Other titles: Manual History of NeqSim Description of this Manual Installation of NeqSim Description of the GUI The Main Frame The Python Scripting language An Informal Introduction to Python Using Python as a Calculator Numbers Strings Lists if Statements for Statements The range() Function ...
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[DOCX File]Table of Contents - Virginia Tech
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Sample code typically uses the scikit-learn, matplotlib, pandas, and numpy Python modules, which provide facilities to keep the code relatively simple in the complex world of machine learning. These libraries were chosen for their popularity and usability, particularly because each is very well documented on their respective site.
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[DOC File]Perl Primer - University of California, Davis
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Note that any for loop can be written as a while loop. In practice however, it is better to use a for loop, as Python executes them faster. 4.3 Break points in loops. Python provides two functions that can be used to control loops from inside its code block: break allows you to exit the loop, while continue skips the following step in the loop.
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[DOC File]1
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COP 4376– Python Programming. 3 credit hours . 2. Course prerequisites, corequisites, and where the course fits in the program of study. Prerequisites: COP 3530 Data Structures and Algorithm Analysis
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[DOC File]Find Tutor Online
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Introduction to Jupyter Notebook, arrays and indexes. Outcome: relevant particularly for Monte-Carlo in Credit Spread and Interest Rate topics. Data Analytics Level I on Python for quant nance, data structures (Dataframe), NumPy for Numerical Analysis, Pandas for Financial Time Series Anal- …
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[DOCX File]Introduction
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In practice you don’t use need to modify CC3DML from Python level too often. CC3D has modules e.g. AdhesionFlex, FocalPointPlasticity, VolumeLocalFlex that require initialization of their parameters in Python but also offer much simpler programing interfaces making coding much less cumbersome.
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[DOCX File]MCA Academic Regulation 2018
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NumPy basics, creating ndarray, data types for ndarray, indexing and slicing, basic operations and manipulations on n-dimensional array. Data Analysis: introduction to Pandas data structures, Series, Data Frames, indexing, selection, filtering, sorting, ranking, handling missing values, data …
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[DOCX File]Introduction - Stellenbosch University
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Python tutorial. and refer to these for additional help. You can also refer to the following books: Lubanovic, B. Introducing Python. O’Reilly Media Inc. 2014 ISBN-13: 978-1449359362 ... It is good practice to call the main code file of your program the same name as your program. Python files that contain text code should always be named with ...
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Numpy tutorial and practice