Difference between revisions of "Python"
(→Pandas) |
|||
| Line 20: | Line 20: | ||
* [[Creatives#Guido Van Rossum |Guido Van Rossum]]; author of Python | * [[Creatives#Guido Van Rossum |Guido Van Rossum]]; author of Python | ||
* [[Jupyter]] | * [[Jupyter]] | ||
| + | * [[TensorFlow]] | ||
http://cdn-images-1.medium.com/max/800/1*BeWMs7DfFaZKnNRaos72JA.png | http://cdn-images-1.medium.com/max/800/1*BeWMs7DfFaZKnNRaos72JA.png | ||
| Line 88: | Line 89: | ||
* [http://matplotlib.org/ Matplotlib] generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc [http://jakevdp.github.io/PythonDataScienceHandbook/04.00-introduction-to-matplotlib.html Visualization with Matplotlib | Jake VanderPlas] - [http://tanthiamhuat.files.wordpress.com/2018/04/pythondatasciencehandbook.pdf Python Data Science Handbook] | * [http://matplotlib.org/ Matplotlib] generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc [http://jakevdp.github.io/PythonDataScienceHandbook/04.00-introduction-to-matplotlib.html Visualization with Matplotlib | Jake VanderPlas] - [http://tanthiamhuat.files.wordpress.com/2018/04/pythondatasciencehandbook.pdf Python Data Science Handbook] | ||
| + | <youtube>Tr4DYo4v5AY</youtube> | ||
<youtube>UO98lJQ3QGI</youtube> | <youtube>UO98lJQ3QGI</youtube> | ||
| Line 96: | Line 98: | ||
<youtube>5rNu16O3YNE</youtube> | <youtube>5rNu16O3YNE</youtube> | ||
| + | <youtube>e60ItwlZTKM</youtube> | ||
<youtube>r9WGaj5S0lc</youtube> | <youtube>r9WGaj5S0lc</youtube> | ||
<youtube>WCXzchgxi9c</youtube> | <youtube>WCXzchgxi9c</youtube> | ||
| − | |||
| Line 104: | Line 106: | ||
[http://www.youtube.com/results?search_query=SciPy Youtube search...] | [http://www.youtube.com/results?search_query=SciPy Youtube search...] | ||
| − | * [ | + | * [https://www.scipy.org// SciPy] library - one of the core packages that make up the SciPy stack. It provides many user-friendly and efficient numerical routines such as routines for numerical integration, interpolation, optimization, linear algebra and statistics. |
| − | |||
| − | |||
| − | |||
| − | |||
| + | <youtube>oYTs9HwFGbY</youtube> | ||
Revision as of 07:37, 20 July 2019
Youtube search... ...Google search
- Colaboratory
- How to build your own AlphaZero AI using Python and Keras
- Automate the Boring Stuff with Python
- Top 20 Python AI and Machine Learning Open Source Projects
- Essential Cheat Sheets for Machine Learning and Deep Learning Engineers
- How to Setup a Python Environment for Machine Learning | George Seif - KDnuggets
- Notebooks; Jupyter and R Markdown
- Python & AWS Lambda
- Cython
- Git - GitHub and GitLab
- Guido Van Rossum; author of Python
- Jupyter
- TensorFlow
Contents
Anaconda
- Getting started with Anaconda | Continuum Analytics
- Cheatsheet
- Anaconda Cloud Documentation
- Anaconda package lists of libraries & utilities
Anaconda Cloud is a package management service by Anaconda. Cloud makes it easy to find, access, store and share public notebooks, environments, and conda and PyPI packages.
Python Data Science Handbook
Python Stack
Flask
- Flask a microframework for Python
- Flask boilerplate | Max Halford
- flaskSaaS | Max Halford starting point to build your SaaS in Flask & Python, with Stripe subscription billing
- flask-image-uploader | bboe
- Flask-Login for the user accounts
- Flask-SQLAlchemy interacting with the database
- Flask-WTF and WTForms for the form handling.
- Flask-Mail for sending mails.
- Flask-Bcrypt for generating secret user passwords.
- Flask-Admin for building an administration interface.
- Flask-Script for managing the app
- flask-stripe Stripe Checkout & user registration
Numpy
NetworkX
- NetworkX a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Video: Connected: A Social Network Analysis Tutorial with NetworkX ...Social Network Analysis (SNA), the study of the relational structure between actors, is used throughout the social and natural sciences to discover insight from connected entities.
Matplotlib
- Matplotlib generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc Visualization with Matplotlib | Jake VanderPlas - Python Data Science Handbook
Pandas
- Python Data Analysis library - data structures and data analysis tools for the Python programming language
SciPy
- SciPy library - one of the core packages that make up the SciPy stack. It provides many user-friendly and efficient numerical routines such as routines for numerical integration, interpolation, optimization, linear algebra and statistics.
scikit-learn
- scikit-learn library for machine Learning in Python
openpyxl