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Schrödinger's cat
wikipedia
https://en.wikipedia.org/wiki/Schr%C3%B6dinger%27s_cat
https://en.wikipedia.org/wiki/Erwin_Schr%C3%B6dinger
百度百科
https://baike.baidu.com/item/%E8%96%9B%E5%AE%9A%E8%B0%94%E7%9A%84%E7%8C%AB/554903
https://www.newscientist.com/article/mg23831840-700-how-to-think-about-schrodingers-cat/
When, back in the 1930s, physicist Erwin Schrödinger dreamed up his notorious thought experiment about a cat that is simultaneously dead and alive, he could hardly have imagined how it would enter the popular consciousness. Or how many terrible jokes it would spawn.
How’s this for a punchline, though: we still don’t know exactly what Schrödinger’s cat means. What you make of it will depend on where you stand on the fundamental question of where reality comes from... ...
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Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280. http://dx.doi.org/10.1016/j.techfore.2016.08.019
https://www.sciencedirect.com/science/article/pii/S0040162516302244
https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
“Tech Support” by R. Kikuo Johnson.
https://www.newyorker.com/culture/cover-story/cover-story-2017-10-23
https://www.npr.org/sections/money/2015/05/21/408234543/will-your-job-be-done-by-a-machine
Source: The Future of Employment: How Susceptible Are Jobs to Computerisation? Data provided by the authors.
Credit: Quoctrung Bui and Christopher Groskopf/NPR; Illustrations by Naftali Beder
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official website | https://www.ibm.com/products/spss-statistics |
history | http://www.spss.com.hk/corpinfo/history.htm |
wikipedia | https://en.wikipedia.org/wiki/SPSS |
SPSS tutorials | https://www.spss-tutorials.com/ |
SPSS video tour | https://www.spssvideotutor.com/ |
8 useful SPSS online resources | http://www.dummies.com/education/math/statistics/8-useful-spss-online-resources/ |
from wikipedia
SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc., it was acquired by IBM in 2009. Current versions (post 2015) have the brand name: IBM SPSS Statistics.
The software name originally stood for Statistical Package for the Social Sciences (SPSS), reflecting the original market, then later changed to Statistical Product and Service Solutions
1.SPSS pricing
https://www.ibm.com/products/spss-statistics/pricing
Subscription plan | 99 USD per user per month |
Perpetual and term licenses |
2.IBM SPSS Statistics GradPack and Faculty Packs
https://www.ibm.com/products/spss-statistics-gradpack
2.1hearne
https://www.hearne.software/SPSS-Selection-v28?adoper=174258_2_OT3
2.2 joureyed
https://www.journeyed.com/products/IBM+SPSS/IBM+SPSS+Statistics
2.3studentdiscounts
https://studentdiscounts.com/?adoper=174258_2_OT1
GNU PSPP is a program for statistical analysis of sampled data. It is a free as in freedom replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions.
http://www.gnu.org/software/pspp/
https://en.wikipedia.org/wiki/PSPP
https://www.gnu.org/software/pspp/get.html
if you want to change the interface language, open the folder "C:\Program Files\PSPP\share\locale" to rename the default language folder.
the default language is Chinese (based on the language of operation system), I wan to choose English as the interface language.
books on SPSS:https://www.douban.com/doulist/45508075/
- Collier, J. (2009). Using SPSS Syntax: A Beginner’s Guide. SAGE.
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Coolican, H. (2019). Research Methods and Statistics in Psychology (7th). Routledge.
- Dancey, C. P., & Reidy, J. (2020). Statistics Without Maths for Psychology (8th). Pearson.
- Field, A. (2009). Discovering Statistics Using SPSS (3rd). SAGE.
- Field, A. (2017). Discovering Statistics Using IBM SPSS Statistics (5th). SAGE.
- George, D., & Mallery, P. (2022). IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference (17th). Routledge.
- Howitt, D., & Cramer, D. (2017). Understanding Statistics in Psychology with SPSS (7th). Pearson.
- Roni, S. M., & Djajadikerta, H. G. (2021). Data Analysis with SPSS for Survey-based Research. Springer.
- Sarstedt, M., & Mooi, E. (2019). A Concise Guide to Market Research: The Process, Data, and Methods Using IBM SPSS Statistics (3rd). Springer.
- Singh Kaurav, R. P., Gursoy, D., & Chowdhary, N. (2021). An SPSS Guide for Tourism, Hospitality and Events Researchers. Routledge.
- Verma, J. P. (2016). Sports Research with Analytical Solution using SPSS . Wiley.
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Coolican, H. (2019). Research Methods and Statistics in Psychology (7th). Routledge.
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from wikipedia
Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library. Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and first released it in 1991 as Python 0.9.0.Python 2.0 was released in 2000 and introduced new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 3.0, released in 2008, was a major revision that is not completely backward-compatible with earlier versions. Python 2 was discontinued with version 2.7.18 in 2020.Python consistently ranks as one of the most popular programming languages
The Zen of Python
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
https://docs.conda.io/en/latest/miniconda.html
ios apps for Python:
pythoni(2.7): https://itunes.apple.com/cn/app/pythoni/id493505744?mt=8
pythoni3.3:https://itunes.apple.com/cn/app/pythoni3.3/id585633449?mt=8
android apps for Python:
run python in the cloud
https://www.pythonanywhere.com/
https://colab.research.google.com/
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Table of Contents
- Chapter 0 – Introduction
- Chapter 1 – Python Basics
- Chapter 2 – Flow Control
- Chapter 3 – Functions
- Chapter 4 – Lists
- Chapter 5 – Dictionaries and Structuring Data
- Chapter 6 – Manipulating Strings
- Chapter 7 – Pattern Matching with Regular Expressions
- Chapter 8 – Reading and Writing Files
- Chapter 9 – Organizing Files
- Chapter 10 – Debugging
- Chapter 11 – Web Scraping
- Chapter 12 – Working with Excel Spreadsheets
- Chapter 13 – Working with PDF and Word Documents
- Chapter 14 – Working with CSV Files and JSON Data
- Chapter 15 – Keeping Time, Scheduling Tasks, and Launching Programs
- Chapter 16 – Sending Email and Text Messages
- Chapter 17 – Manipulating Images
- Chapter 18 – Controlling the Keyboard and Mouse with GUI Automation
- Appendix A – Installing Third-Party Modules
- Appendix B – Running Programs
- Appendix C – Answers to the Practice Questions