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This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and ...

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On another level, you will use programming as a means to an end. As we go along, that end will become clearer. 1.1 The Python programming language. The programming language you will be learning is Python. Python is an example of a high-level language; other high-level languages you might have heard of are C, C++, Perl, and Java.

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It uses Python 2.X as its language and you will come up to speed in Python quickly, and then spend the bulk of the book learning algorithms and computational It is terse and fast. If you require a more leisurely pace, John Zelle's Python Programming, an Introduction to Computer Science takes 425...

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MIT OCW-6 00 Fall 2008- Introduction to Computer Science and Programming. Mit 600 Introduction To Computer-Science And Programming Fall 2008 Lectu...

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A conda environment is a self contained Python environment that allows you to run different versions of Python (with different installed packages) on your computer. Learn how to conda environments can you help manage Python packages and dependencies.

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This professional certificate series combines CS50’s legendary Introduction to Computer Science course with a new program that takes a deep dive into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Flask, Django, and Bootstrap.

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Course meetings in Period I¶. Lectures: Wednesdays 09:15 - 12:00, CK112, Exactum (4 September - 20 October 2019) Work sessions: Group 1 on Thursdays 12:15 - 16:00, A113-114, Physicum

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Programming Computer Vision with Python: Tools and Algorithms. This book is a hands-on introduction to computer vision using Python. It gives an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers.

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MicroPython. MicroPython is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimised to run on microcontrollers and in constrained environments.

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The Python Open Source Computer Science Degree on GitHub: github.com/ForrestKnight/open-source-cs-python In case ... This is a short review of Introduction to Computation and Programming Using Python by John V. Guttag: a companion book to the ...

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1.) Course description says course will use Java, but 1st video (Introduction to Programs, Data Types, and Variables) involves Lecturer using Python 2.) The order of videos is NOT the order of course material, e.g. video 4 is "Chapter 7: Running Example Programs" and video 7 is "Chapter 1: Introduction to Computer Systems" Come on! What a ...
It covers "introductory computer science methods and topics," and "all programming assignments use Python." The optional textbook used in the course is Introduction to Computation and Programming Using Python. For anyone interested in a course more squarely focused on Python...
It uses Python as a tool to teach computational thinking and serves as an introduction to computer science. The fact that it is… As a matter of fact, this course is aimed at students with little or no prior programming experience who feel the need to understand computational approaches to problem...
Intro to Web Scraping with Python and Beautiful Soup. Data Science Dojo. Introduction to Python Programming for Scientists I. Rutgers University.
A Note about Python, Tutorials, and Jupyter Notebooks. Our tutorials use Python 3 and NetworkX (2.4 or later). They are in the form of Jupyter Notebooks. To load, view, and run these tutorials, you can follow one or both of two approaches: There are several free services to run Jupyter notebooks in the cloud at the time of this writing, including:

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The authors of "Practical Programming: An Introduction to Computer Science Using Python 3.6" make clear the distinction between programming and computer science. This book offers an introduction to both, but will take the novice much further down the path of computer programming.
“This book contains a broad range of timely topics and presents interesting examples on real-life data using Python. … the book is a good addition to references on Python and data science. Students as well as practicing data scientists and engineers will benefit from the many techniques and use cases presented in the book.” (Computing ...