utstikkar · Kkshanana90 · Jan 5, 2019 · Jan 5, 2019 · Jan 6, 2019 · Jan 6, 2019
diff --git a/.gitignore b/.gitignore
@@ -0,0 +1,6 @@
+listings.csv
+password.txt
+secretpassword.txt
+
+# MAC OS
+.DS_Store
diff --git a/7.seven.txt b/7.seven.txt
@@ -0,0 +1 @@
+you are thinking about the number 7
diff --git a/HB_hat_keine_Idee.txt b/HB_hat_keine_Idee.txt
@@ -0,0 +1,2 @@
+
+nee, wirklich nicht :o)
diff --git a/LegolasWhatDoYourElfEyesSee.txt b/LegolasWhatDoYourElfEyesSee.txt
@@ -0,0 +1 @@
+They are taking the hobbits to Isengard!!!
diff --git a/OPENME - Kopie.txt b/OPENME - Kopie.txt
diff --git a/OPENME.txt b/OPENME.txt
diff --git a/README.md b/README.md
@@ -1,7 +1,37 @@
-# Introduction to Python For Data Science
-This repo contains the teaching material for the Introduction to Python (and useful libraries) masterclass at the [Data Science Retreat](http://datascienceretreat.com/).
+# Intro to git For Data Science modified :)
 
-## Table of Content
+This repo is used as a test target for the DSR course on git.
+
+The original content was material for Python, hence the name, nowadays it acts as a practice target and the
+Python files are vestigial.
+
+## Intro in English
+This big repo contains the teaching material for the Introduction to Python (and useful libraries) masterclass at the [Data Science Retreat](http://datascienceretreat.com/), it does not cover Pandas.
+
+## Вступ українською
+Це велике сховище містить навчальний матеріал для майстер-класу «Вступ до Python» (і корисних бібліотек) на [Data Science Retreat](http://datascienceretreat.com/), воно не стосується Pandas.
+
+## Intro in Finnish
+Tämä repo sisältää Suomalaisen version....This big repo contains the teaching material for the Introduction to Python (and useful libraries) masterclass at the [Data Science Retreat](http://datascienceretreat.com/), it does not cover Pandas.
+
+# some other change that will cause conflicts
+here it is
+
+# new change
+blablabla
+
+# new change 2
+merve was here
+
+# Inro auf Deutsch
+Dieses Repo ist uber der Inhalt des original Lektion.
+
+## Intro in italian
+Questo repository contiene il materiale originale del corso di Python per DSR, ora esperimenti su git.
+## Intro in Cherokee
+ᎯᎠ ᎡᏆ ᎣᏍᏓ ᎨᏒ, ᎬᏂᎨᏒ ᎢᏧᏩᏁᏗᏱ ᎬᏂᎨᏒ ᏅᏓᏍᎩᏴᏁᎵ.
+
+## Table of contents
 
 * [About Me](#about-me)
 * [The Python Programming Language](#the-python-programming-language)
@@ -12,32 +42,31 @@ This repo contains the teaching material for the Introduction to Python (and use
   * [Running the IPython interpreter and a python file](#running-the-ipython-interpreter-and-a-python-file)
   * [Jupyter Notebook](#jupyter-notebook)
   * [Python basics](#python-basics)
-* [Pandas](#pandas)
-  * [Intro tutorial on pandas basics](#intro-tutorials-on-pandas-basics)
-  * [Data Munging with Pandas](#data-munging-with-pandas)
 * [NumPy and Matplotlib](#numpy-and-matplotlib)		
   * [NumPy](#numpy)		
   * [Matplotlib](#matplotlib)	
-* [Scikit-learn and your first Data Science case](#scikit-learn-and-your-first-data-science-case)
-  * [Scikit-learn](#scikit-learn)
-  * [Your first Data Science case](#your-first-data-science-case)
 * [SciPy](#scipy)
-
+## Hi
+Ciao
 
 ## About me
-Slides for this section can be found [here](https://slides.com/utstikkar/introtopython-aboutme).
+Slides for this section can be found [here](https://docs.google.com/presentation/d/e/2PACX-1vTbd4eONN5nSiNaTWW3uM2RM3O0jsoVT8gQ9byqa0X5vStBZGUBfiUSM7-HegCjymaDbaUzQ-9yyvMR/pub).
 
 ## The Python Programming Language
-Slide deck for this entire section is available [here](https://slides.com/utstikkar/introtopython-pythonproglanguage).
+Complete slides [here](https://docs.google.com/presentation/d/e/2PACX-1vRPV8i3pQw7MCa6eG-9y9LgIFREJF_3sN4opFDXQ2r_NJgea9ObLJQfj4S_CiM6Ptxs7t0WU6lCa-QH/pub?start=false&loop=false&delayms=3000), inclusive of exercises.
 
-### Why Python?
-Slides on this topic start [here](http://slides.com/utstikkar/introtopython-pythonproglanguage#/1)
+Extra links:
+ * [The SciPy Lectures -- The Python Language](http://scipy-lectures.github.io/intro/language/python_language.html).
 
-### Python for DS Components
-Slides on this topic start [here](http://slides.com/utstikkar/introtopython-pythonproglanguage#/5)
+Practice those examples using alternatively python files, the IPython interpreter and an IPython Notebook.
+
+To practice:
+* [Python interactive exercises](http://codingbat.com/python)
+* [Join the codewars competitions](http://www.codewars.com/?language=python)
 
 ### Python 2 vs. Python 3
-Slides on this topic start [here](http://slides.com/utstikkar/introtopython-pythonproglanguage#/6)
+
+Note: as explained in the lesson you should now just go with Python 3. These links are from more than 2 years ago but still useful if you need to use old libraries.
 
 A great [notebook](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/key_differences_between_python_2_and_3.ipynb) covering the main differences has been written by Sebastian Raschka.
 
@@ -54,23 +83,28 @@ The most basic interactive Python command line, where each line starts with a `>
 #### IDLE
 Standard editor in Python distributions, easy to use but very basic.
 
+###ADD-ME
+added add me
+
 #### IPython
 A more sophisticated interactive Python command line. It incorporates tab-completion, interactive help and regular shell commands. Also look up the `%`-magic commands.
 
+
 #### Spyder
 **Spyder** is part of the **Anaconda** Python distribution. It is a small IDE mostly for data analysis, similar to RStudio. It automatically highlights Syntax errors, contains a variable explorer, debugging functionality and other useful things.
 
+
 #### Jupyter Notebooks
 Interactive environment for the web browser. A Jupyter notebook contains Python code, text, images and any output from your program (including plots!). It is a great tool for exploratory data analysis.
 
 #### Sublime2
 A general-purpose text editor that works on all systems. There are many plugins for Python available. There are a free and a commercial version available.
 
-#### Atom
-The Open Source cousin of Sublime2.
+#### Visual Studio Code
+The Open Source cousin of Sublime2, similar to Atom.
 
 #### PyCharm
-PyCharm is probably the most luxurious IDE for Python. It contains tons of functions that are a superset of all the above. PyCharm is a great choice for bigger Python projects.
+PyCharm is probably the most luxurious IDE for Python. It contains tons of functions that are a superset of all the above. PyCharm is a great choice for bigger Python projects. Free for non-commercial use.
 
 #### Notepad++
 If you must use a text editor on Windows to edit Python code, refuse to use anything worse than **Notepad++**.
@@ -85,33 +119,20 @@ I know people who are successfully using Emacs to write Python code, but haven't
 Slides on this topic start [here](http://slides.com/utstikkar/introtopython-pythonproglanguage#/12)
 
 ### Jupyter Notebook
-A live demo will be given during the masterclass.
+A live demo will be given during the masterclass. Here just a [warning note](https://docs.google.com/presentation/d/e/2PACX-1vR2ntOr6vWHgHoC0X3arDtim9fIhaoF7r6Vl5fVjxSXeXpD2NRykOSR_UyQzbtjppD2tiqwkw2peMfQ/pub?start=false&loop=false&delayms=3000)
 
 Experiment further with the IPython Notebook environment with [this Jupyter Notebook](http://nbviewer.ipython.org/github/ipython/ipython/blob/2.x/examples/Notebook/Running%20Code.ipynb).
 Try to clone or download it, before opening it, running and modifying its cells.
 
 Many more Jupyter features in [this blog post](http://arogozhnikov.github.io/2016/09/10/jupyter-features.html).
 
-### Python basics
-Times to get your hands dirty. Read and test for yourself the examples provided in: [The SciPy Lectures -- The Python Language](http://scipy-lectures.github.io/intro/language/python_language.html).
-
-Practice those examples using alternatively python files, the IPython interpreter and an IPython Notebook.
-
-To practice:
-* [Python interactive exercises](http://codingbat.com/python)
-* [Join the codewars competitions](http://www.codewars.com/?language=python)
-
-## Pandas 
+And of course, be aware of the fact Jupyter is NOT an IDE and can bite you in various ways: [See this presentation](https://docs.google.com/presentation/d/1n2RlMdmv1p25Xy5thJUhkKGvjtV-dkAIsUXP-AL4ffI/edit#slide=id.g3cb1319227_1_388)
 
-### Intro tutorials on pandas basics
+## Git
+Slides are [here](https://docs.google.com/presentation/d/e/2PACX-1vSRDWRpbJpNmtPk5SufekG8bSbBSJGjsua-nf-BxTzS_F2qMkHwmFPzjQlnR6op2pwa0QzL-PTFGikx/pub?start=false&loop=false&delayms=3000)
 
- * [Tutorial: Data structures](https://github.com/utstikkar/pandas-tutorial/blob/master/intro-to-pandas-1-Data-Structures.ipynb)
- * [Tutorial: Working with dataframes](https://github.com/utstikkar/pandas-tutorial/blob/master/intro-to-pandas-2-Working-With-DataFrames.ipynb)
- * [Tutorial: Using pandas on the MovieLens dataset](https://github.com/utstikkar/pandas-tutorial/blob/master/intro-to-pandas-3-Pandas-On-MovieLens.ipynb)
-
-### Data munging with pandas
-
- * [Exercises](https://github.com/utstikkar/pandas-tutorial/blob/master/data-munging-with-pandas.ipynb)
+## What is machine learning
+A brief introduction/recap of ML its terminology. Slides [here](https://docs.google.com/presentation/d/e/2PACX-1vRfxH8TbgtOQy24JBu28i12kYrbUquXKu6VZhZC3wyCUdiLW1HqF75mgnLI-EjKHFQUdPeZ-6OYD8G7/pub?start=false&loop=false&delayms=3000)
 
 ## NumPy and Matplotlib
 
@@ -121,26 +142,21 @@ Start with the official [NumPy Tutorial](http://wiki.scipy.org/Tentative_NumPy_T
 Move on to these [exercises](http://scipy-lectures.github.io/intro/numpy/exercises.html).		
 
 ### Matplotlib		
-Learn the basics and some more advanced plotting tricks in Matplotlib with this [hands-on tutorial](http://scipy-lectures.github.io/intro/matplotlib/matplotlib.html).	
+Learn the basics and some more advanced plotting tricks in Matplotlib with this [hands-on tutorial](http://scipy-lectures.github.io/intro/matplotlib/matplotlib.html).
+
+It's also very useful to look at the [gallery](https://matplotlib.org/gallery.html) to find examples of every possible chart you may want.
 
-## Scikit-learn and your first Data Science case
+## Scikit-learn and your first ML case
 
+Slides are [here](https://docs.google.com/presentation/d/e/2PACX-1vTjCOfNagJZzOjovAPgNBkVxcddNlKbWZ5oxEjicbuFyEwpAbMjG8m7x0tx3xjqUyKkoYFh0rysWRNL/pub?start=false&loop=false&delayms=3000)
 ### Scikit-learn
  * Introduction to machine learning with scikit-learn [slides](http://slides.com/luciasantamaria/intro-machine-learning-scikit-learn#/)
  * Doing machine learning with scikit-learn [slides](https://github.com/luciasantamaria/pandas-tutorial/blob/master/scikit-learn.pdf)
  * [Tutorial: Introduction to scikit-learn](https://github.com/utstikkar/pandas-tutorial/blob/master/intro-to-scikit-learn-1-Basics.ipynb)
  * [To go further](http://nbviewer.jupyter.org/github/jakevdp/sklearn_tutorial/blob/master/notebooks/Index.ipynb)
-
-## Your first data science case
-
-A great source of data problems nowadays is the Kaggle platform. We'll be starting today with a simple but representative dataset: [Titanic: Machine Learning from Disaster](https://www.kaggle.com/c/titanic).
-
- * [Guide](https://github.com/luciasantamaria/pandas-tutorial/blob/master/titanic-machine-learning.ipynb) for orientation to approach the problem
-
-IMPORTANT: you will find plenty of materials to analyze this data, however you'll learn the most if you give the problem some thought and try out several things before resorting to ready-made answers. 
 
 
-## SciPy		
+## SciPy
 SciPy is a collection of mathematical algorithms and convenience functions built on the Numpy extension of Python.				
 [Here](http://scipy-lectures.github.io/intro/scipy.html) is a hands-on overview of this collection, together with practical exercises and more advanced problems.		
 
@@ -152,3 +168,8 @@ This repository contains a variety of content: some developed by Amélie Anglade
 The third-party content is distributed under the license provided by those parties. Any derivative work respects the original licenses, and credits its initial authors. 
 
 Original content developed by Amélie Anglade is distributed under the MIT license.
+
+
+## New section
+
+New content
diff --git a/README.txt b/README.txt
@@ -0,0 +1,10 @@
+kd;flkdsl;fkds
+
+sdfkl;dskfds
+#
+
+dsfdsf#
+
+jlkjhey hey 
+
+asdsa
diff --git a/aaa.txt b/aaa.txt
@@ -0,0 +1,4 @@
+new file here
+Hallo world new file
+
+Ggg
diff --git a/blurb.txt b/blurb.txt
@@ -0,0 +1 @@
+asdf
diff --git a/bruh.txt b/bruh.txt
@@ -0,0 +1,3 @@
+BRUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUH
+WHAAAAAAAAAAAAAAAAAAAAAAAAAAAAT
+THAT IS NOT POLITE!
diff --git a/coolestReadmeEver.txt b/coolestReadmeEver.txt
@@ -0,0 +1,11 @@
+Cool file, lame content.
+
+Seriously.
+
+Totally lame.
+
+
+...
+
+and it is not getting any better.
+
diff --git a/fancy_file.txt b/fancy_file.txt
diff --git a/hello.tsdf b/hello.tsdf
@@ -0,0 +1,2 @@
+asdfdsds sdgdfg
+sdfds
diff --git a/henlo.txt b/henlo.txt
diff --git a/ho_ho_ho.txt b/ho_ho_ho.txt
@@ -0,0 +1,7 @@
+ho ho ho 
+
+:-P
+
+
+
+another HOHO
diff --git a/iva.txt b/iva.txt
@@ -0,0 +1,3 @@
+hello 
+
+new text
diff --git a/jacobo.txt b/jacobo.txt
@@ -0,0 +1,3 @@
+Name:
+Adress:
+Zip Code:
diff --git a/jansfile.txt b/jansfile.txt
@@ -0,0 +1 @@
+thats my file and no ones other!
diff --git a/jean.py b/jean.py
@@ -0,0 +1,3 @@
+def my_input():
+	print('collaborating on Git is fun')
+my_input()
diff --git a/lord_of_the_files.file b/lord_of_the_files.file
@@ -0,0 +1,3 @@
+|\/\/\/\/|
+|        |
+----------
diff --git a/marco_file.txt b/marco_file.txt
@@ -0,0 +1 @@
+hi batch 35
diff --git a/michele_file.txt b/michele_file.txt
@@ -0,0 +1,2 @@
+This is the file I added
+
diff --git a/msg.txt b/msg.txt
@@ -0,0 +1,3 @@
+Some message which I have expanded on.
+
+another message
diff --git a/my-feature b/my-feature
@@ -0,0 +1 @@
+hdaskdhasklhdlask
diff --git a/myfile_anand.txt b/myfile_anand.txt
@@ -0,0 +1 @@
+Great!
diff --git a/mynewfeature.txt b/mynewfeature.txt
@@ -0,0 +1,2 @@
+Fork process:
+fork, clone, new-branch, make changes, add changes, commit changes, push 
diff --git a/mynewfile.txt b/mynewfile.txt
@@ -0,0 +1,4 @@
+
+this is a completely new file
+bla bla bla
+
diff --git a/new-lesson-file b/new-lesson-file
@@ -0,0 +1 @@
+Hello this is the new lesson
diff --git a/new_file.txt b/new_file.txt
@@ -0,0 +1 @@
+New file in new branch
diff --git a/newfile.txt b/newfile.txt
@@ -0,0 +1 @@
+new file
diff --git a/password.txt b/password.txt
@@ -0,0 +1 @@
+super secret passowrd
diff --git a/pead.md b/pead.md
@@ -0,0 +1,5 @@
+# Post-Earnings Announcement Drift
+
+$$PEAD = \frac{SUE}{(\sqrt{var(SUE)}} * \frac{1}{N} \sum^N_{i=1} AR_i$$
+
+where SUE is the standardized unexpected earnings, Var(SUE) is the variance of SUE, N is the number of firms in the sample, and AR_i is the abnormal return of firm i.
diff --git a/pets.csv b/pets.csv
@@ -0,0 +1,7 @@
+ID;Name;Age;Breed
+01;Cube;6;BorderCollie
+02;Eden;6;BelgianMallinois
+03;Maze;4;BorderCollie
+04;Halo;3;LabradorRetriever
+05;Luzi;3;EuropeanSledgeHound
+06;Isla;2;LabradorRetriever
diff --git a/print_ciao.py b/print_ciao.py
@@ -0,0 +1 @@
+print("ciao")
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1,3 @@
		Some message which I have expanded on.

		another message
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1,2 @@
		Fork process:
		fork, clone, new-branch, make changes, add changes, commit changes, push