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Hello World! - Savvas Tjortjoglou
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Sun 05 April 2015. Finally got a blog up and running using Pelican. Comments powered by Disqus. 2016 Savvas Tjortjoglou · Powered by pelican-bootstrap3.
Archives - Savvas Tjortjoglou
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Archives for Savvas Tjortjoglou. Fri 05 August 2016. Surviving the NFL - Survival Analysis using Python. Tue 28 June 2016. Exploring the NFL Draft with Python. Tue 25 August 2015. How to Track NBA Player Movements in Python. Tue 28 July 2015. How to Create NBA Shot Charts in Python. Tue 07 July 2015. Learning Python: Part 2 - Visualizing the NBA Draft. Wed 01 July 2015. Learning Python: Part 1 - Scraping and Cleaning the NBA Draft. Sun 05 April 2015.
Learning Python: Part 1 - Scraping and Cleaning the NBA Draft - Savvas Tjortjoglou
http://savvastjortjoglou.com/nba-draft-part01-scraping.html
Learning Python: Part 1 - Scraping and Cleaning the NBA Draft. Wed 01 July 2015. With the 2015 NBA Draft in the books ( #knickstaps. I wanted to take a look at some data. From previous drafts and explore it as means of learning some Python and some of its libraries. In this first part we'll be scraping and cleaning data from the 1966 draft (the first year without territorial picks) to the 2014 draft. To scrape the data we want, we will use the. Lets get a feel for using. That we imported from the. We wan...
Learning Python: Part 2 - Visualizing the NBA Draft - Savvas Tjortjoglou
http://savvastjortjoglou.com/nba-draft-part02-visualizing.html
Learning Python: Part 2 - Visualizing the NBA Draft. Tue 07 July 2015. With the 2015 NBA Draft in the books (#knickstaps) I wanted to take a look at some data from previous drafts and explore it as means of learning some Python and some of its libraries. Now we'll be taking a look at the NBA draft data we scraped in the previous post. We'll be using. To read in our data and manipulate it. Then we will use. To create some visualizations from the data. Lets import the libraries we need. Read in the CSV file.
How to Create NBA Shot Charts in Python - Savvas Tjortjoglou
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How to Create NBA Shot Charts in Python. Tue 28 July 2015. In this post I go over how to extract a player's shot chart data and then plot it using. Getting the data from stats.nba.com is pretty straightforward. While there isn't a a public API provided by the NBA, we can actually access the API that the NBA uses for stats.nba.com using the. Library. This blog post by Greg Reda. Does a great job on explaining how to access this API (or finding an API to any web app for that matter). To get the data we want.
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Staff - Nylon Calculus
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Team Ratings and Statistics. Usage and Possession Statistics. Player Historical Shooting Breakdowns. Team Shooting Detail By Season. NBA Playing Time Estimates By Position and Vs. Opponent Units. Jump Ball Statistics 1998 Present. Detailed NBA Rebounding Stats. Point Guard “Personalities”. Team Transition and Speed Statistics. Profile of a Shooter. Nylon Calculus 101: A (Re)Introduction. The Basic Box Score. Basic Box Score Adjustments. Nylon Calculus 101: Expected Value and Shot Selection. Is a Colorado...
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Κυριακή, 15 Ιουλίου 2012. Καλησπέρα φίλες και φίλοι. Από σήμερα 15/07/2012 ξεκινάει ο μεγάλος διαγωνισμός της σελίδας Music Creations. Και θα διαρκέσει έως και την Παρασκευή 20/07/2012. Όσοι θέλετε να λάβετε μέρος, το μόνο που πρέπει να κάνετε είναι να πατήσετε like. Της σελίδας του ραδιοφωνικού σταθμού) όπου έγινε και η αρχική ανάρτηση. Το δώρο είναι δύο υπέροχα βιβλία της κ. Βασιλικής Λεβεντάκη, το μυθιστόρημα " Οι δαιμονισμένες. Και το παιδικό βιβλίο " Για μια χούφτα αστέρια. Προσπαθώντας να λύσει το ...
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Savvas Tjortjoglou
How to Create NBA Shot Charts in Python. In this post I go over how to extract a player's shot chart data and then plot it using. Learning Python: Part 2 - Visualizing the NBA Draft. With the 2015 NBA Draft in the books (#knickstaps) I wanted to take a look at some data from previous drafts and explore it as means of learning some Python and some of its libraries. Now we'll be taking a look at the NBA draft data we scraped in the previous post. We'll be using. I wanted to take a look at some data.
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Каркасные дома: строительство, проекты, цены
Строительство по уникальной технологии Двойного каркаса. 8 800 100 76 14. Каталог проектов для Камчатки. Наши представители на Камчатке. Цены на строительство для Камчатки. Проекты от 200 м2. Каркасные дома - это недорогая легковозводимая конструкция. Устройство деревянного каркасного дома представляет собой многослойную конструкцию. Каркас представляет собой деревянные стойки, между которыми находится утеплитель. С двух сторон защищенный пленкой. В сушильных камерах в заводских условиях. За счет использ...
Savvas Tryfonos Cyprus Plants Photography - Φυτά και Άνθη της Κύπρου σε φωτογραφίεςSavvas Tryfonos Cyprus Plants Photography
Από το ποίημα Τα καλά των δεντρών Κυριάκου Καρνέρα. Θέλεις να δεις γην όµορφην που ‘ναι παδκιάν και λίραν;. Έβκα στους κάµπους, στα βουνά τζιαι στάθου παρατήρα. Τζι’ όπου τζι αν δεις τζι έχει δεντρά, να πας να τους κοντέψεις τζιει,. Εν η γη η όµορφη να δεις τζιαι να πιστέψεις. Τζι αν πεθυµήσεις σπαστρικόν αέραν µυρωδάτον,. Μεν βκεις να πας εις τον γιαλόν, κάλλιον να πας τζιει κάτω πον τζειν’ το δάσος που θωρείς το νωστοφυτεµένον,. Να βρεις αέραν σπαστρικόν και µουσκοµυρισµένον. Website by TotalCy.com.
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