Python 75 hackathon

Criteria is below:

1. Talent Accurate Profile & Project update (Max 20 points)

Just create your Talent Accurate (we call TACT) profile and update your project over there. The website is still in BETA, so if you face any issues, please let us know.

You can register your account here : http://talentaccurate.com/register (If you need any help on this section, our volunteers can help you out)

2. Regular progress (Max 110 points)

Make regular progress in your Github contribution. Don't dump all the code one time. Even if you have issues in your python files, don't worry about them. Just commit them and then fix them later.

3. Genuine Code (no copy paste ) (Max 140 points)

Don't simply copy and paste the code. If our validators come to know that you copied the code, you will get lower points. We randomly copy your code and google them. If we find a match, you will get lower points.

4. Run without any errors (Max 100 points)

Your code should run on Windows/Linux properly without any errors. Also, don't simply focus on a single topic like 50 exercises on String alone. As long as you involve many topics, you will get higher points.

Remember, our goal is to let you "TASTE all flavors of Python Ice Cream". So don't simply stick with one flavor. More diversified areas you explored in Python, more marks you get.

5. Code validation on Zoom call (Max 80 points)

We will give you a call random time (Other than your sleeping hours) to check your progress. Be available on Zoom audio call and be ready to share your screen.

Our validators might expect you to run the code in your laptop. If you are not able to run the code, you will get lower points. Based on your progress, commitment, and other factors, our validators can give you special credits.

Team size and total exercises:

1 member - 75 exercises
2-3 members - 100 (average 35-50 exercises per candidate)
4-5 members - 140 (average 28-35 exercises per candidate)

Various Python Topics:

Introduction
Text input and output
String slices
Variables
Lists
If statements
Functions
Global and Local variables
Scope
Loops
Range
Tuples
Dictionaries
Datatype casting
Random numbers
Read file
Write file
Objects and classes
Python class
Encapsulation
Method overloading
Inheritance
Polymorphism
Inner classes
Factory method
Recursive functions
Logging
Subprocess
Threading
Lambda
Sets
Modules
Graphs
State Machine
Tree
Binary numbers
Python Debugging

Python Tutorials:

Python Basics - Pythonspot - https://pythonspot.com/
Learn Python - https://www.learnpython.org/
Automate the boring stuff - https://automatetheboringstuff.com/chapter1/
Python Basics - Tutorials Point - https://www.tutorialspoint.com/python/python_basic_syntax.htm
Python Basics - https://www.youtube.com/watch?v=2uCXIbkbDSE
Python Beginner Tutorial - For Absolute Beginners - https://www.youtube.com/watch?v=cpPG0bKHYKc
Introduction to Python Programming - https://pythonprogramming.net/introduction-to-python-programming/
Python Basics - https://pythonbasics.org/
Python Guru - https://thepythonguru.com/
Intro to Python - https://docs.python-guide.org/intro/learning/

soorya-srinivasan / python-75-hackathon Goto Github PK