Day 3 - Daily Dev Diary

So, today I woke🌇 early compared to yesterday and was done with my Yoga🧘‍♂️ and exercise for the day by 🕗 8 am. Ate breakfast while watching Microsoft's intro to Python playlist. It's very good for learning the basics of Python, and if you are not a beginner then, you can have a quick look through the playlist to refresh🔁 your basics(like I did).
Some of my key takeaways were -

  • By default, packages are installed globally
  • Virtual environments can be used to contain and manage package collections
  • Creating a virtual environment

# Install a virtual environment
pip3 install virtualenv

# Windows systems
python3 -m venv <folder_name>

# OSX/Linux (bash)
virtualenv <folder_name>

Conventionally, <folder_name> = venv
  • Using a virtual environment

# Windows systems
# cmd.exe
<folder_name>\Scripts\Activate.bat
# Powershell
<folder_name>\Scripts\Activate.ps1
# bash shell
. ./<folder_name>/Scripts/activate

# OSX/Linux (bash)
<folder_name>/bin/activate




I had my college exam at 🕓 4pm and a meeting with the web developer team of a project that I am leading scheduled at 🕖 7pm. It all went well.
I finally was able to finish off Data Cleaning and Case Study from the Datacamp in which I learned

  • how to programmatically clean my data using functions like dropna(), fillna(), etc.
  • use of regular expressions and pattern matching in the process of data cleaning
  • And, finally worked on Gapminder Foundation's data as a Case study 
So, overall today was a productive day and I am proud of myself😎🤓.
Also, as I was surfing through the discussion forum on Coursera I came to know it takes around 3 days to get the assignment evaluated and it is evaluated by staff, not by Dr. Chuck himself, so, I am expecting to receive the certificate by tomorrow morning.
Tomorrow's goal is to setup GitHub repo which I was supposed to do today, make progress on Datacamp and Udacity, and give my college exam at around 4 or 5pm.

Comments

Post a Comment

Popular posts from this blog

Data Science 

Image
Data Science — including machine learning, data analysis, and data visualization First of all, let’s review what machine learning  is . I think the best way to explain what machine learning is would be to give you a simple example. Let’s say you want to develop a program that automatically detects what’s in a picture. So, given this picture below (Picture 1), you want your program to recognize that it’s a dog. Picture 1 Given this other one below (Picture 2), you want your program to recognize that it’s a table. Picture 2 You might say, well, I can just write some code to do that. For example, maybe if there are a lot of light brown pixels in the picture, then we can say that it’s a dog. Or maybe, you can figure out how to detect edges in a picture. Then, you might say, if there are many straight edges, then it’s a table. However, this kind of approach gets tricky pretty quickly. What if there’s a white dog in the picture with no brown hair? W
Read more

Learning Path for Deep Learning in 2019

Image
Learning Path for Deep Learning in 2019 Here is a high-level overview of the core concepts you should and master in the deep learning sphere: Getting Started:  Deep learning is a vast field made up of several components. So to kick off your learning journey, it is recommended to start from the ground up. The first month will be all about understanding what deep learning means, covering basic descriptive statistics and probability concepts, and learning Python! Machine Learning Basics:  The logical next step in our learning path takes you into the world of machine learning. This includes techniques like linear regression, logistic regression, and regularization methods. Deep learning cannot be truly grasped until you know the core concepts of linear algebra and calculus, so complement your skill-set with an introduction to matrices, vectors and derivatives. Introduction to Deep Learning and Keras:  This is what you’ve been waiting for! March is when we recomm
Read more

Day 6 - Daily Dev Diaries

So, today I was pretty much free from different small works I was having from the past 3 days, so I tried to complete the course on Datacamp as much as possible, also, made a lot of progress🏃‍♂️ in open source development. Although, I wasn't able to make any progress in the Udacity course.Although I might forget to mention yoga🧘‍♂️, form now on as it is now becoming my habit to do it on a daily basis. Also, today I got 2 rejection emails🥺: GirlScript Web Developer Internship Hewlett-Packard(HP) SDE intern I will try to improve more on my skill-set. I also got to know about the competition, Code League , organized by Shopee, an MNC. But the sad part was that it is for a limited set of countries, and my country is not amongst them, so, can't participate😔. Anyways, there are a lot of events organized worldwide, so, no issues😅. Tomorrow's goal is to complete the Datacamp course as tomorrow is the last day of free week. And also, contribute to open source as and
Read more