FDP for Python

Reason 0

The basis for education in the last millennium was reading, writing, and arithmetic; now it is reading, writing, and computing. - Sedgwick

Reason 1

You can code. They cannot. That is pretty damn cool. - LTHW Python

Reason 2

Python is a multipurpose programming language and widely used for Data Science, which is termed as the sexiest job of this century. - Vinay Babu, DSC

	Day	AM Session 1	AM Session 2	AM Session 3	PM Session 1	PM Session 2
		(9.00 - 9.30)	(9.45 - 11.45)	(11.45 - 12.15)	(1.15.00 to 3.15)	(3.30 to 4.30)
	Day 1	Why Python?	How to get started: your first program - Extracting a Link	Solving Problem Set	How to repeat - Finding all the links on a page	Solving Problem set
Day 2	Q&A of DAY 1	Data Learning to Crawl	Solving Problem Set	Building an Index	Solving Problem Set
Day 3	Q&A of DAY 2	How Programs Run- Making Things Fast (Performance improvement & Optimization)	Solving Problem Set	How to Have Infinite Power (Recursion)	Solving Problem Set
Day 4	Q&A of DAY 3	How Programs Run- Making Things Fast (Performance improvement & Optimization)	Solving Problem Set	How to Have Infinite Power (Recursion)	Solving Problem Set
	Day 5	Q&A of DAY 4	Challenging practice problems	Cumulative Practice Problems	Search Engine Validation	Continuation on Search Engine Validation

Things to Decide

• choice of IDE? https://www.jetbrains.com/pycharm/ - is it available online?

• CloudCoder problems to go over?

• CyberDojo sessions?

• Who wants to focus on RPA?

  • We now can enroll some faculty to become RPA experts / consultants...both in KGCAS and KITE and they can progress on their own to some level of expertise...and take students along.

Draft Agenda

1. http://bit.ly/fizzBuzzVideoCD for review before workshop
2. Blockly 10-part challenge and Python equivalent code review

3. CD-1 review of http://j.mp/fizzBuzzPythonFDP
4. Part 2 - OOP version Custom Start - http://j.mp/oopFizzBuzzCD
5. Part 3 - expand CD-2 to output sequence

6. Part 4 - expand CD-3 to output for FizzBuzzPlus⁠⁠⁠⁠

Learning Pathway

1. Fundamentals of Python language

   • learn Python in 10 minutes and tutorial
   • learn Python in 90 minutes
   • Beginner Python video course on Reddit - http://bit.ly/beginnerPython
2. Problem statements in CyberDojo

   • subset of solutions in Step 3

3. Automating Boring stuff in Python

   • https://automatetheboringstuff.com/
   • https://www.udemy.com/automate/?couponCode=FOR_LIKE_TEN_BUCKS
4. Learn PySpark

   • https://www.dezyre.com/apache-spark-tutorial/pyspark-tutorial
   • Refactor earlier solutions into Pyspark platform

5. RPA experience on UI-Path

   • Use Python API to automate some simple tasks on the web

     • https://www.uipath.com/kb-articles/uipath-robot-api
   • CloudGate exception report generation - is this possible?

   • Compare two documents using Python - https://github.com/kgisl/project-ideas/blob/master/compareSimilarDocsUsingPython.md and http://www.datasciencecentral.com/profiles/blogs/state-of-the-art-machine-learning-automation-with-hdt and http://www.datasciencecentral.com/profiles/blogs/advanced-machine-learning-with-basic-excel
6. What next? https://learnpythonthehardway.org/book/next.html

Python for Data Science

Read up the write up at http://j.mp/pythonForDataScience.

1. https://developers.google.com/edu/python/ - At Google, all this material makes up an intensive 2-day class, so the videos are organized as the day-1 and day-2 sections.
2. https://learnpythonthehardway.org/book/
3. Automate the boring stuff using Python

Variant 2

Also read http://www.datasciencecentral.com/profiles/blogs/the-guide-to-learning-python-for-data-science-2

https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-1-python-basics?ex=1

https://www.datacamp.com/courses/intermediate-python-for-data-science https://campus.datacamp.com/courses/pandas-foundations/data-ingestion-inspection?ex=1