Learn Python in a Jupyter Notebook instance.

Modules	Topics	Description	Link
00	Introduction	Objectives and overview of this bootcamp	Github - Colab
01	Colab Notebook	How to use jupyter notebook instance provided by google colab	Github - Colab
02	Python Overview	Basics of python.	Github - Colab
03	Basic Maths	Basic mathematical concepts that you will/may need	Github - Colab
04	Operations	Basics operations such as conditional, loops, functions and classes.	Github - Colab
05	Programming paradigms	Introduction of functional and object oriented programming	Github - Colab
06	Modules	Overview of popular modules such as numpy, pandas, matplotlib and pytorch.	Github - Colab
07	Fun Projects	We will make some fun projects together.	Github - Colab
08	AI	Introduction to computational intelligence	Github - Colab
09	Agent Development	Deep reinforcement learning with human feedback	Github - Colab

Objectives:

• Ensure a solid understanding of the basics: Help the learner grasp fundamental programming concepts such as variables, data types, and basic syntax.

• Foster problem-solving skills: Encourage the learner to think critically and apply programming concepts to solve simple problems. Support them in breaking down problems into smaller steps and guide them in developing logical solutions.

• Familiarize with control flow and loops: Introduce if statements and loops, enabling the learner to make decisions and repeat code blocks. Provide examples and exercises to reinforce understanding.

• Cultivate the ability to create reusable code: Teach the learner how to define and use functions to organize and reuse code. Encourage them to think about modular programming and breaking down tasks into smaller, manageable functions.

• Encourage creativity and project-based learning: Inspire the learner to explore coding through creative projects aligned with their interests. Assist them in brainstorming and developing small projects that allow them to apply their knowledge and foster enthusiasm for programming.