Adding exhaustive readme for beginners, and two final projects for hands on experience.

Final_Project.md

@@ -0,0 +1,47 @@
+# Final Project for practical python learning
+
+This project is meant to give you an actual, useful application which you will build using basics of python you have learned in the tutorials so far.
+
+As different students seek different levels of learning, this project can be done at 2 different levels - EASY and  HARD. The way it is designed is that solving the EASY project gives you material which can be used in the medium project, and similarly, the solving the medium project gives you material for the hard. So, it's 2 steps in some sense. For each project we will explain to you what you need to do in words, to convert that into code has been left to you.
+
+# EASY PROJECT: Text manipulation
+
+### 1. Downloading data to work with
+
+Please install the package nltk, using - 
+
+```
+pip install nltk
+```
+
+Now, open a python shell and run these commands to download the "brown corpus" (https://www.nltk.org/book/ch02.html) -
+
+```
+import nltk
+nltk.download('brown')
+```
+
+This will give you access to a bunch of sentences. The code for reading these sentences from the Brown corpus is 2-3 lines of code, but you will have to write these yourselves. Go to section 1.3 Brown Corpus on the link above. Read the code there, it clearly shows how to get the sentences from it.
+
+### 2. Finding lines which contain one out of a list of few words.
+
+Define a list of 4 words of your choice. Let's call these "important words". For ex - list with words "hello","nation","technology","book". Now, go through each sentence in the brown corpus, one by one, searching which sentence contains one of the 4 important words.
+
+### 3. Store sentences which contain a match.
+
+Create a dictionary. In this dictionary, you will store information such that the keys of the dictionary will be the important words, i.e. 4 keys. The corresponding value for each key will be a list of all sentences which contain that word.
+Your task is to read files from disk, filter lines which contain a specific word, store it in a dictionary
+
+
+# HARD PROJECT: Text manipulation
+
+In the easy project we learned how to manipulate text, to go through the text and find lines which contain a match for certain pre-defined words. However, we got our dataset simply by downloading from python. In the medium project, the task is to download your own dataset.
+
+You will be scraping movie summaries from Wikipedia for this. Most movies have a Wikipedia page, and they almost always contain a synopsis or plot section. This will take some effort, but is great practice. 
+
+1. Get a list of movies from here - https://github.com/enilsen16/imdb-top-250/blob/master/top_250.txt
+2. For each movie. This is going to be significant effort, but you can follow this project - https://medium.com/@Alexander_H/scraping-wikipedia-with-python-8000fc9c9e6c
+3. For each movie link, you can now download all the text on the wikipedia page.
+4. Now that you have the text, see how you can get the text in the plot/synopsis section.These summaries are your new dataset. 
+
+5. Use the code you wrote in the EASY project to find movies who's summaries contain the important words. This time, make a dictionary where keys are the important words, and corresponding values are lists of movie names who's summary contains the important word.

README.md

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 A simple walk-through of basic Python concepts for beginners. Each file explains a Python concept and contains examples of how it works as well as practice exercises. 
 
-# Instructions 
+## How do I get Python set up on my machine?
 
-Work through the files in order by the numbers in the file names. 
+If you are on a Mac, your machine comes pre-installed with linux. Open up your "terminal" application, and type in "python". This will open up what we call a python shell. Here you can write python commands. Python scripts usually have a .py extension and can be run in the terminal with the command "python <filename>".
+
+If you are on a linux, we assume you already have some experience with managing around the terminal, however the process is the same as a mac.
 
-Another helpful resource are the official Python docs: https://docs.python.org/3/
+If you are on a windows, follow the section "How to Install Python 3
+" from this page - https://www.howtogeek.com/197947/how-to-install-python-on-windows/. You will also need to set up the Environment Variables as they show in that tutorial. This sounds confusing at first, but all that these do are tell your computer where certain files (like files needed by python to run) are located. Depending upon where you install it, you can set the Environment Variables.
 
+## I have python, how do I use this tutorial?
+
+1. Work through the files in order by the numbers in the file names. Each Tutorial has comments (lines starting with # which tell you what the lines of code below do).
+2. I suggest take 2 passes at each file. First, read, second try to write commands yourself without seeing the code below. This will give you good experience with the syntax.
+3. Work on the project, which ties together all that you learn in the tutorial for an application, giving you hands on experience.
+
+## How do I learn more? 
+
+When you complete the project, you'll be in good shape to take on most basic python tasks. Always remember that a large chunk of programming is basically searching on the internet for similar problems people have faced before. www.stackoverflow.com is your best resource for this.
+
+Reading official python docs (https://docs.python.org/3/) seems scary at first, there's a lot of things written and a lot of terms used which you won't understand at first. But as your problems get more advanced, this will be the only source that can help you ultimately. So, try to get better at reading docs. Keep working on it whenever you get some time, try not to be bogged down. Trust me, it'll be well worth it.