My 100 Days of Code

My 100 Days of Code

On Tue, Sep 03 2019

What is 100 Days of Code?

100 Days of Code is a vow, "I will code for at least 3 hour every day for the next 100 days." For me Code is not only writing programs but also understanding concepts.

My 100 Days of Code

In my 100 Days of Code, I will

  • Complete Udacity's Deep Learning Nanodegree Program
  • NAU-ACM/ACM-ICPC-Preparation

Day Allocation

I will not dilute my personal focus by being all things to all people. By choosing different directions, by trying to do different things, I will not get anything done. So each day will be designated for specific task.

Sunday

Sunday is Concept day.

I will read, understand concepts of ML, DL, and DSA according to above two course.

Also, I will make a list of programs to code tomorrow.

No Coding today.

Monday

Monday is code day. Code, Code, Code, Review, Code, Code, Code.

Tuesday

Tuesday is Concept day.

I will read, understand concepts of ML, DL, and DSA according to above two course.

Also, I will make a list of programs to code tomorrow.

No Coding today.

Wednesday

Wednesday is code day. Code, Code, Code, Review, Code, Code, Code.

Thursday

Thursday is Concept day.

I will read, understand concepts of ML, DL, and DSA according to above two course.

Also, I will make a list of programs to code tomorrow.

No Coding today.

Friday

Friday is code day. Code, Code, Code, Review, Code, Code, Code.

Saturday

September 4, 2019 Wednesday

Today I start my 100 days of code. Wednesday is coding day.

Today I joined Udacity's Deep Learning Nanodegree(DLND).

Also I learned to use conda.

> Create a new conda environment using:
> conda create -n environment_name python=3
> To activate the environment:
> conda activate environment_name
> To deactivate the environment:
> conda deactivate
> To install a package
> conda install package_name
> conda remove package_name
> To export the environment:
> conda env export > environment.yaml
> To create an environment from a yaml file:
> conda env create -f environment.yaml
> To list all environments
> conda env list
> To remove environment
> conda env remove -n environment_name

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