
Learn Python The Hard Way
Google's Python Class
A Byte of Python
Think Python
The New Boston video series
Udacity - CS101
Python Weekly
Corey Schafer Youtube
JASP
jamovi
Statista
Montecarlito
datarobot
IBM ILOG CPLEX Optimization Studio
Displayr
BlueSky Statistics
Learn Python The Hard Way
JASPJASP works very similarly to jamovi. That's not a coincidence, as some JASP developers split off to create jamovi. You can open a single dataset and use the most popular statistics and machine learning methods. But if you have multiple datasets to merge, you must do that in another tool. Also, the dataset must maintain a single structure throughout your analyses. Restructuring or transposing is not allowed. It is commonly said that data scientists spend 80% of their time wrangling data like that, so that's a significant limitation for general use. However, those simplifications make JASP a good choice for teaching. Another advantage for teaching is that the menus are very sparse, but you can add to them easily by downloading additional modules. That's the opposite of similar software such as BlueSky Statistics, SPSS, or Minitab, which install all features at once. If you're looking for free and open-source software, JASP and jamovi are best for teaching while BlueSky Statistics is best for general-purpose analysis.
JASP might be a bit more popular than Learn Python The Hard Way. We know about 15 links to it since March 2021 and only 14 links to Learn Python The Hard Way. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
These kinds of comparisons rarely lead to good discussions. Let's instead be focused and talk about real stuff. Consider https://learnpythonthehardway.org/ for example. It has influenced a generation of Python developers. Not just the main website, but the tons of Python code and Python-related content it inspired. Why would anyone write these kinds of textbooks/websites/guides if AI can replace them? Arguibly,... - Source: Hacker News / about 1 year ago
Try this instead: https://learnpythonthehardway.org/ LLMs will give you an uncertain percentage of wrong answers. Itโs like having a teacher that lies to you and doesnโt know when they are lying and has zero understanding of the information they give you. - Source: Hacker News / almost 2 years ago
Basic Python Knowledge: Ensure you have a solid understanding of Python basics. Resources like Python.org and Learn Python the Hard Way are great starting points. - Source: dev.to / about 2 years ago
Go here: https://learnpythonthehardway.org/. Source: about 3 years ago
Also, I havenโt looked at it in a super long time but personally I got started with Python using https://learnpythonthehardway.org after originally training to be an artist and ended up having a pretty successful career in Pipeline instead. Source: over 3 years ago
For anyone looking for a quick and hands-on dive into the world of Bayesian modelling and inference, I can't recommend JASP enough, made freely available by the University of Amsterdam[0]. I've recommended it before, and it's just a breeze to work with, seeing frequentist and Bayesian analyses side-by-side. [0]: https://jasp-stats.org/. - Source: Hacker News / over 1 year ago
Anyone looking to apply and compare frequentist and bayesian methods within a unified GUI (which is essentially an elegant wrapper to R and selected/custom statistical packages), should check out JASP developed by the University of Amsterdam [0]. It's free to use, and the graphs + captions generated on each step are of publication quality out of the box. Using it truly feels like a 'fresh way' to do... - Source: Hacker News / almost 3 years ago
Https://jasp-stats.org fully free. Its advisible to learn python, R or matlab for graduate school. Source: about 3 years ago
Also for alternative software that are much easier to use take a look at JASP or jamovi (both are very similar); and as a bonus, neither of these two will require you to manually add product variables to your dataset. Source: about 3 years ago
If you have no access to SPSS (or SAS, or JMP), then look into JASP (https://jasp-stats.org/). I've only just touched that. One thing I believe is that JASP (as well as JMP) will allow/block off tests and analyses depending on the nature of each column. This means that, for example, if you have groups A, ..., Z, the software will treat those as non-numbers, which can only be used as inputs for variables which... Source: over 3 years ago
Google's Python Class - Assorted educational materials provided by Google.
jamovi - jamovi is a free and open statistical platform which is intuitive to use, and can provide the...
A Byte of Python - A Byte of Python is a Python programming tutorial and learning book that teaches you how to program with the Python programming language.
Statista - The Statistics Portal for Market Data, Market Research and Market Studies
Think Python - Learning Resources
Montecarlito - MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.