Old Bed Time Stories, new Layout

Just wanted to make a quick post about a new link that I have found.

It is by the Library of Congress online link to read the good old Aesop Fables.

Please check them out they are written in a very crips format.

The link to the website is: https://read.gov/aesop/001.html

And of course, my favorite one is on page number 25: Link https://read.gov/aesop/025.html

You can just click “next” or “back” on the online menu of that website to go to the next story.

An Image to Guide how to use the Website of Stories

Hope this post is helpful

Thanks, see you in next post or next life, whichever comes earliest.

-Tapish

Inner Child Wounds

I struggle myself a lot to cope with a few of the below-mentioned “Wounds” but after reading the comments under the original post, I discovered I was not alone. Indians by default live under the influence that “Parents are the Perfect Beings” and thus mosty anytime I expressed this to my classmates and colleagues, they did find a fault in me in even expressing my feelings on this subject. Then I discovered more about intergenerational trauma and the ability to cope with it. It is nice to know that even other people who have faced similar issues were able to come out of their childhood traumas and live a decent life for themselves and the next generations. One of the best lines I could read in the comment section by Markus Wilson was, “I forgive him, or should I say, I forgive myself for wanting him to be more than he could be.”

Hope I could fix the repetitive stories in my head or at least give them a proper ending. For a Better Future.

Cheers

Tapish Dongre

April 2022

Inner Child Wounds. Image Courtecy Facebook “The Soul Journey with Saraha Moussa”

P.S. You can read the original comments by clicking the link below. It will redirect you to the original post on Facebook. https://www.facebook.com/377700549450190/photos/a.377728092780769/1045385662681672

Perceptive Thinking on E-Baba’s Birthday

The Adam Project (Netflix 2022)

So 16th March 2022 about 00:00am I got the Google Notification that it’s “E-Baba’s Birthday”. For those of you who have not read the previous articles I wrote on E-Baba, he is my paternal Uncle having very high moral grounds in my perception.

With the notification came a moral dilemma, should I even wish him or not?

I know wishing any person on his/her birthday is a positive social activity. But to wish E-Baba there are various Caveat attached. The most prominent one was that I was somewhat angry with him myself. Don’t get me wrong, he still holds a high moral value as a perceptive being. But his clashes with his own family made him choose an action in the past where he left everyone hanging dry. His side of the story is true that he was hurt. But hurt people hurt other people, consciously or unconsciously. Thus when he had fought with his brothers and left the main house, there was no fault of us at that time, that we deserve his isolation. And for leaving me as a kid, unguided, that really made me angry.

In later years, due to good circumstances, now that he is making his efforts to re-console with his brothers and sharing happy memories of them being together, this, in turn, made me angrier. That, “all the years of anger that I had held on to, was that of no use or no worth”?

Watching this movie “The Adam Project” I was able to have another perception of myself. In a conversion in this movie, (exactly at the time of this picture above) it is expressed that we tend to be angry when we grow up, or tend to, not because we are really angry. But in fact, because we are sad. It is easier to be ‘Angry’ than to be ‘Sad’. To mourne from our pain and then to recover. Is easier to blame others and tend to relive the made-up stories than to face the hurtful truth. Since this whole month I am trying to accept my own one truth after another, so thought why not give this theory a chance too.

Instead of being angrier about E-Baba’s constantly changing actions, let’s consider him as a normal human being. A human being who makes mistakes.

And when I think it that way, I am able to think one step ahead of that where I was stuck all these years. And that is, We tend to accept the mistakes of people we love. Or in other words, we tend to ignore the mistakes of people we love and accept the person as a whole being. And whenever we are not able to accept a person as a whole, that is only because we are not able to ignore the mistakes that the person has done to us.

There again comes a choice in the present moment, when we are all alive, Not in memories but here in flesh and blood. Time for new bonds, time for new memories, time for new fights, and time for new love. I think I can get past this mental stuck and move in a new direction. Not a right or wrong direction, as no one could judge where our future lies. But at least one step ahead of our past stuck.

So somehow grabbed the number from my cousin’s sister and texted him, “Happy Birthday

Unfortunately, this is not a complete story as it is rolling on this present timeline, thus even I don’t know where my or others’ actions will lead in the future, but till that time when my heart beats more than normal that compel me to write more about E-Baba, I can only Say it is “To Be Continued….”

See you in the next post or next life, whichever comes earlier.

Signing off for now

Tapish Dongre

How to Study Online Better !?!

(SKIP TO THE “5 Points List” below if you wish not to read the Intro, Point number 5 is Important.)

For the last two years, I was more focused on my studies online and I was following the pattern as suggested by the Edx or Coursera style guides. That is to give like not more than 4 to 5 hours per week, watch the video, read the material or slides and then give the end of the subject exam, pass with flying colors, show the certificate of completion and then forget all that you have learned within days of your study.

Even using the above method, I discovered that more than 70% of people who are even paid subscribers quit their learning mid of the course. At the start of the statistic learning, I felt pity for those quitters as I firmly believed that I am not one of them. I was so confident because in all my degree one on one learning, I never quit any of the courses I started. Thus it came as a shock to me when on after paying 11 months ongoing subscription to Coursera, finally I stopped my payment on Jan 2022 without completing the course I started. I literally joined the team of 70% who quit and I have my own pile of reasons why.

But I know internally I am not a quitter. There was like Cognitive Dissonance on my own belief system when my actions did not match with my own thinking. Thus I began the journey to understand the actual reason why? and for me, the answer came not in all the excuses, but in the fact of the statement, ” I am actually studying the wrong way.”

The first and foremost step will be to acknowledge and accept that online studies are way different than one-to-one or university studies. This is a simple statement and we all superficially use it, but no one goes into deep thinking of what it means to learn from these two ways of learning.

In the book, “The Social Animal” by David Brooks, the author in some lines explains that the physical touch of parents is important for a newborn and the physical presence of the teacher is important in early learning for the development of neurons. It is like monkeys see monkeys do, humans also learn the subject mimicking the nature, thoughts, and other ambiance produced in a classroom.

I won’t argue that online learning is then a no-go at all, but we do have to change or implement a few of the things which we use to do in classroom teaching.

To list a few would be:

  1. Use carrot and stick model: Give yourself a reward which will release a positive harmones in your neurological system to associate the happiness with your studies. Also, provide yourself with a significant punishment if you fail to complete a task or studies. Though I prefer the Carrot (rewards) over the stick (punishment) but I would like to emphasise their should be a consequence of our ether actions or attitude towards our studies.
  2. Do not sign up for Multiple Course: We might sign up as the course is cheap, or trendy and keep on adding the list as it is convinient to do so. But remeber its easy to add coursces on your bucket list or shopping kart, but it is difficult to put that course material inside your brain. It requires a lot of hardwork.
  3. Motivation is a Myth: This comes form Ali Abdaal teachings and you can search on Youtube from the author itslef if you want to learn more about what that point is stating, “Motivation is a Myth”. But in short it means that we should never postponed our studies for a time when we are in right mood for it. It is like going to a job or movie. Fix a time, start the show, the motivation will kick in after 5 to 10 mins into your studies.
  4. Communicate with other Learners: This is one of the big mistake I have done in the past. Remember the story of the Deaf Frog who climbed the Mountain ? I also made a video on it few years back. It says like 1000 frogs one day decided to climb the mountain, 10 quit at the start as the journey was difficult, they motivated 100 to quit as it was so cold, they motivated 500 to quit as they forgot to bring food, they motivated remaing ones to quit as the journey and idea seems impossible except one. The reason was he/she a Deaf frog. Deaf frog was not able to listen the reasons of the quitters and thus did not join the 70% club. (In this story 99% club of quitters.)
  5. Repetition is Important: This last point is the main reason of my motivation to write this blog post. And 5 mins before I started this draft I talked with one my friend “Asad” who has recenty completed two Microsoft Asure two certification in last two months. And now I will be going against the Rule 4 mentioned above. His way of learning is (A: Exposure) to go throught the whole material of the whole course, not just one or two sub subjects, but the whole course like Binge Watching a Neflix Series. We retain only 10 to 40% of the content explained in this first run of going through the material. (B: Retention Detailing) Then 2nd time we go through the material in bit detail and slow paced. This is the time we absorb more as we already know the main storyline thus we are well aware where to focus on and where not to. (C: Memory) The 3rd run will be with slides or notes as most online cources have them, this is again a faster approach as we are aware of the content we are in a little bit kind of memorisation state at this stage. (D: Active Reacall) In the fourth or finall run of the whole material you go through the whole content of the course with pausing at each start of the heading/video/slide and asking youself “What is the authour going to say in this content?”. This is the testing phase. The fourth reading is to be done without even looking inside of the content or only go through the content if you are not able to recall what is being taugh. Remember Testing is a Part of the Learning Process. And Testing is to be done before appearing for the main End of Subject Exam.

The above 5 points, if followed with devotion will make the online journey of studies worthwhile. Ya point number 4 is a bit arguable but it also depends on what kind of personality you are. As Steve Jobs has observed and said, “A players like to stay with A players” and “B players like to stick with B”. Thus if you really want to jump from being a B player to being an A player then you do have to put in enough energy to break the threshold. And understand yourself is that journey really worth it?

I will sign off for this post with an open mind to learn further and keep recording my journey on this blog post as well as my Youtube Channel. Hope to see you in the next post, next video, or next life whichever comes earlier.

Cheers !!!

More Freee Books: Data Science etc

Ohh wow, the Internet is full of Google Drive Links to Download so much content.

Here are the links to a few books related to Data Science related material that I recently found:

First of all, I would urge anyone reading this blog to join this Facebook group if they are interested in more free Data Science related resources https://www.facebook.com/groups/953875852069445/

Then scroll and download anything you require from this article

List of Online Resources

Excell Related PDFs

https://drive.google.com/drive/folders/1Hra6hYXY9EzWELAJ_3pg9EwnbnTspr8Z

Data Science from Scratch

https://drive.google.com/file/d/1zZ0Hu6kwYBk-LPu1UuDO0O28UgGkO5VO/view

Python Data Structure and Algorithms

https://drive.google.com/file/d/1qV8sCPJVG8shcUitG__e8H3MawCs_lew/view?usp=sharing

And as posted before

Pro Python 3

https://drive.google.com/file/d/1t5UdLIEEagIOTtoRyDBlcvUSSCJYBdIr/

See you in the next post or next life, whichever comes first !!!

Tapish Dongre

Pro Python 3

In general, I don’t openly promote piracy but as joining multiple groups learning python, data science, and cloud I came across many resources.

Some resources are freely available and some are heavy on our pocket.

The views expressed by fellow learners put me into the moral dilemma of, “to what extent the resources should be charged and to what extent they should be available for free?”

I have decided from time to time I would share some of these resources which will enable everyone to grow as a collective community.

One of the links I got recently introduced with from a FB group about Python Programming is :

“PRO Python 3 Features and Tools for Professional Development” by J. Burton Browning and Marty Alchin

All rights to the book are reserved to the respective owner, and the book is available to download only for a short period of time till the kind fellow humans keep the sharing link active.

To download please follow the link: https://drive.google.com/file/d/1t5UdLIEEagIOTtoRyDBlcvUSSCJYBdIr/

Also if the link is not available in the future, please write it in the comments section below and I will remove this post.

Thanks

Tapish Dongre

Data Science Methodology (IBM)

Compleated another certificate realted to data Science. This was was step by step explainaiton of the whole procedure of a Data Science project. It showed the pattern as a whole instead of goind too much deep into how each operation is being done. In the discussion coloum of the IBM portal some students found it way too eazy, whereas the idea of working with so much data and numbers on a excell sheet in future overwelmed me a bit.

So finally I overcame my fears and compleated this bit and here is the link to flaunt on another certificate from IBM

https://coursera.org/share/728d9ea3de111e743bf30d7be0dd2050

Yes I also love the badging system by IBM and I have three digital version collected till now.

Link: https://www.credly.com/badges/ac38f9af-f9ac-459c-a909-3052efd041f6/public_url

Or the whole collection at https://www.credly.com/users/tapish-dongre/badges

Hope I can add more in the future months.

Year 2021 is looking promising. See you in the next post or next life….

Cheers

Tapish

Tools for Data Science

In this article, I am just documenting my journey of learning Data Science. Currently, I have completed Course 2 of the IBM Data Science Professional Certificate titled “Tools for Data Science”

I have currently two digital badges from IBM to flaunt on this Digital Universe

The link to the Badges is:

  1. Data Science Orientation

https://www.credly.com/badges/82b8daa6-9d94-4ea5-a7ed-1dcd78accc91

2. Tools for Data Science

https://www.credly.com/badges/e8119c02-2b2f-4fdd-852e-bab85cc64bfa

Now Coming to the main part of this article. The final takeaway of this course was the final assignment learned in week 4 of the course where we executed the learning of different Markdowns (i.e Fonts / Caligraphy in Coding). This has complied in a Jyupter Notebook made inside Waston Studio provided by IBM. I am sharing a link to my work as this would be the first-ever task I managed to pulled of in my Data Science journey. (I know I know in the future I will laugh that I shared a barely minimum sill level task but it is just the start of a big Marathon thus I thought the smaller achievements are worth a share)

The link to my work is :

https://eu-gb.dataplatform.cloud.ibm.com/analytics/notebooks/v2/86e5b12c-d95a-4038-9873-35835cafb4d8/view?access_token=486577407cc406a91d70ef53ec197f2ba50cb70e79295bbd588de37513a605c0

Hey I can also share my Completion certificate now, the link to my Certificate is :

https://coursera.org/share/27abd5146bfe79343b0fe0e678b289b8

Hopefully, more Certificates, as well as projects, would come in the future to flaunt my skills thus do sign up / follow /Subscribe or bookmark this website to get further updates posted as and when I learn new cool stuff.

Thanks

Tapish

Jupyter Notebooks on the Internet

Copy of Original Article by “Romeo Kienzler” in IBM Data Science Course

There are thousands of interesting jupyter notebooks available on the internet for you to learn from. One of the best sources is: https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks

It is important to notice that you can download such notebooks to your local computer or import them to a cloud based notebook tool so that you can rerun, modify and follow along what’s explained in the notebook.

Very often jupyter notebook are already shared in a rendered view. This means, that you can look at them as if they were running locally on you machine. But sometimes, folks only share a link to the jupyter file (which you can make out by the *.ipynb extention). In this case you can just grab the URL to that file and past it to the NB-Viewer => https://nbviewer.jupyter.org/

The list above gives you a very nice start with a huge collection of materials to explore. Therefore it’s maybe more useful to give you some pointers to interesting notebooks. As we have covered some toy examples with toy data in the labs, let me just point to some work which uses these data and goes further down the road of data science. In addition, as we’ve covered the different tasks in data science we’ll also provide an exemplar notebook for each of those.

First you start with exploratory data analysis, so this notebook is highly recommended to have a look at: https://nbviewer.jupyter.org/github/Tanu-N-Prabhu/Python/blob/master/Exploratory_data_Analysis.ipynb

For data integration / cleansing at a smaller scale, the python library pandas is often used. Please have a look at this notebook: https://towardsdatascience.com/data-cleaning-with-python-using-pandas-library-c6f4a68ea8eb

If you want to already experience what clustering is, have a look at this: https://nbviewer.jupyter.org/github/temporaer/tutorial_ml_gkbionics/blob/master/2%20-%20KMeans.ipynb

And finally, if you want to go for a more in-depth notebook on the iris dataset have a look here: https://www.kaggle.com/lalitharajesh/iris-dataset-exploratory-data-analysis

“I have just kept a copy of this page on my website as a personal note that this infomation is useful and I should read the individual links in my free time.” – Tapish Dongre