Difference between revisions of "Sekitar Python"
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* [[Python: Gephi + MALLET + EMDA]] | * [[Python: Gephi + MALLET + EMDA]] | ||
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Revision as of 09:13, 2 February 2017
Python adalah general-purpose, high-level programming language. Filosofy disain Python menitik beratkan pada code readability, dan sintax yang memungkinkan programmer untuk mengekspresikan konsep-nya dengan lines of code yang lebih sedikit daripada bahasa lain-nya seperti C. Bahasa yang digunakan memberikan konstruksi yang dibuat agar menjadi program yang jelas baik untuk skala kecil maupun besar.
Python mendukung multi programming paradigm, termasuk style object-oriented, imperative dan functional programming atau procedural. Dia memiliki fitur dynamic type system dan automatic memory management dan mempunyaistandard library yang sangat komprehensif dan besar.
Seperti dynamic language yang lain, Python kadang digunakan sebagai scripting language, tapi juga mempunyai banyak non-scripting context. Menggunakan tool third-party, seperti Py2exe, atau Pyinstaller, Python code dapat dipaket sebagai program executable standaline. Python interpreter tersedia di banyak sistem operasi.
CPython, reference implementation dari Python, adalah free and open source software dan mempunyai community-based development model, seperti juga hampir semua implementasi alternatifnya. CPython di managed oleh non-profit Python Software Foundation.
Lebih Detail
Persiapan
Dasar
- Python: Random Number
- Python: time
- Python: Print waktu
- Python: File
- Python: Parsing
- Python: String Operation
- Python: List Operation
- Python: List sort
- Python: regex
Advanced
Jaringan
- https://www.tutorialspoint.com/python/python_networking.htm
- Python: Web Server
- Python: Echo Server
- Python: Echo UDP Server
- Python: Read Microphone
- Python: Mengirim suara via UDP
- Python: Soket UDP
- Python: Soket TCP
- Python: Kirim via TCP dan di parsing
- Python: Twitter
- Python: email
Scraping Web
- Python: Referensi untuk Social Scientist RECOMMENDED
- Python: Mining the Social Web
- http://www-scf.usc.edu/~aupadhya/Mining.pdf RECOMMENDED
- Python: Collecting Twitter Data
- Python: Python for Mining Data From Twitter
- Python: Daftar API Twitter dengan Python
- Python: Scraping Twitter
- Python: SCraping Twitter lagi
- Python: twitterstream.py
- Python: Collecting Data
- Python: Text Pre-processing
- Python: Term Frequencies
- Python: Rugby & Term Co-occurrences
- Python: Data Visualisation Basics
- Python: Sentimen Analysis
- Python: Geolocation and Interactive Maps
- Python: Generating Network Graph of Twitter Follower RECOMMENDED
- Python: Twitter Analytic
- Python: Collect Twitter follower network with twecoll RECOMMENDED
- Python: Analyzing Twitter Networks with Gephi 0.9.1
- Python: TwitterSearch RECOMMENDED
- Python: Create Gephi network graphs from Python?
- Python: Gephi Streamer
- Python: Mining Twitter for GamerGate: A How-To
- Python: Mining Twitter for GamerGate: Visualization
Python Twitter
- https://github.com/bear/python-twitter
- Python: python-twitter: tweet.py
- Python: python-twitter: track-user.py
- Python: python-twitter: view-friends.py
- Python: python-twitter: view-status.py
Tweepy
Selenium
- Python: Konfigurasi geckodriver dan selenium untuk browsing web
- Python: Selenium Search di Google
- Python: Search Google
- Python: search-google.py
- Python: Selenium Login ke Twitter
- Python: Selenium Crawler
- Python: Twitter data mining with Python and Gephi
NLTK
- Python: NLTK download corpus
- Python: NLTK stopwords
- Python: cari-stopwords.py
- Python: cari-stopwords-freq.py
- Python: cari-stopwords-common.py
- Python: stopwords Indonesia
- Python: NLTK twitter
- Python: NLTK analisa wikileak
- Python: NLTK cleaning text
- https://github.com/robincamille/gephi-scripts/blob/master/gephi-wordpairs-5
- Python: Gephi + MALLET + EMDA
- Python: NLTK Twitter Sentiment Analysis
igraph
Tutorial
- http://www.bogotobogo.com/python/pytut.php
- http://www.tutorialspoint.com/python/index.htm
- http://effbot.org/zone/socket-intro.htm
- https://docs.python.org/3.0/library/socket.html
- http://www.fromdev.com/2014/03/python-tutorials-resources.html
- http://www.briggs.net.nz/snake-wrangling-for-kids.html
- http://www-scf.usc.edu/~aupadhya/Mining.pdf
Streaming Audio
Referensi
- https://nealcaren.github.io/python-tutorials/
- http://openbookproject.net/thinkcs/python2e.php
- http://docs.python.org/tutorial/
- http://www.sthurlow.com/python/
- http://www.paradigma.com.br/Plone/tutorialPython.pdf
- http://www.tutorialspoint.com/python/
- http://www.master.web.id/mwmag/issue/03/content/tutorial-python-2/tutorial-python-2.html
- http://www.korokithakis.net/tutorials/python