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Sanskar

Keen Learner and Exp... • 3d

Day 5 of learning Data Science as a beginner Topic: Using NumPy in Data Science Python despite having much advantages (like being beginner friendly, easy to read) is also famous for its one limitation i.e. it is slow. We don't really feel much about it as a beginner because at the beginning stage all we are doing is learning through coding a few lines or a couple hundreds however once you start working with large data sets this limitation makes its presence felt. Python is slow because it offers incredible flexibility like being able to write multiple type items like integer, strings, float, Boolean, dictionary and even tuples in a single therefore in order to offer such flexibilities python has to compromise with speed. However to tackle this limitation we use a python library named NumPy which is created using C as base and because C is very close to hardware it offers great speed for computing numbers. NumPy has a great speed however it is used only on numerical arrays. NumPy is also very efficient in storing the data i.e. it uses less memory to store data. It also offers vectorized operation i.e. it avoids using loops explicitly this also makes it much more cleaner and readable. In the coming days I will focus on learning NumPy from basics. And also here's my code and its result.

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Sanskar

Keen Learner and Exp... • 2d

Day 6 of learning Data Science as a beginner. Topic: creating NumPy arrays NumPy arrays can be created using various ways one of them is using python list and converting it into a numpy array however this is a long way here you first create a pytho

Kevin Patel

Learner 🍂🤎 • 1y

Some one please guide me for the road map of the data science: Skill I do have right now is Python, numpy , pandas (learning) After completing pandas, numpy and Excel can I do freelancing.. It will be so helpful if someone guides me

2 Replies

Sanskar

Keen Learner and Exp... • 1m

Day x of learning python as a beginner. Nor more? Its been a month since I started leaning python as my first programming language. I am really enjoying my python journey and have learned many important concepts which will be used throughout my prog

Harish Kumar

Training Consoler • 9m

Python is a beginner-friendly and powerful programming language, perfect for diving into data science. Start by learning the basics like variables, loops, and functions. Explore popular libraries such as Pandas for data manipulation, NumPy for nume

Comet

#freelancer • 10m

Essential Python Topics for Data Analysts 😄👇 - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missin

2 Replies

Adarsh Arya

Hey I am on Medial • 1y

Which is best app/platform/course/YouTuber for learning python for beginner to advance.

4 Replies

Sanskar

Keen Learner and Exp... • 26d

Day 12 of learning AI/ML as a beginner. Topic: TF-IDF practical. Yesterday I shared my theory notes and today I have done the practical of TF-IDF. For the practical I reused my spam classifier code and for TF-IDF I first imported it from the sklear

2 Replies

Sanskar

Keen Learner and Exp... • 1m

Day 25 of learning python as a beginner. Topic: database handling. I used to write simple programs which just showed some text in the console when I started learning python. I didn't used to store that data somewhere because I didn't know how to.

Aaryan Shelar

Trying to do Better • 3m

Learned OOPS concepts took me 3 days to wrap it up! Next up: diving into NumPy. Step by step, building a strong foundation for my AIML journey. Anyone else on the same path or wanna join in? Let’s learn and grow together! 🚀 #Python #OOPS #NumPy #AIM