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Sanskar

Keen Learner and Exp... • 1d

Day 11 of learning Data science as a beginner Topic: creating data structure In my previous post I discussed about the difference between panda's series and data frames we typically use data frames more often as compared to series There are a lot of ways in which you can create a pandas data frame first by using a list of python lists second by creating a python dictionary and using pd.DataFrame keyword to create a data frame you can also use numpy arrays to create data frames as well As pandas is used specifically for analysis of data it can create a data frame by reading a .csv file, a .json file, a .xlsx file and even from a url linking a data frame or similar file You can also use other functions like .head() to get the top part of data frame and .tail() to get the lower part of data frame you can also use .info and .describe function to get more information about this data frame Also here's my code and its result

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Sanskar

Keen Learner and Exp... • 2d

Day 10 of learning data science as a beginner Topic: data analysis using pandas Pandas is one of the python's most famous open source library and it is used for a variety of tasks like data manipulation, data cleaning and for analysis of data. Pand

Inayat Hasan

Software engineer • 1y

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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... • 2m

Day 19 of learning python as a beginner. Topic: JSON file (exploring surface). JSON stands for JavaScript Object Notation however it is not limited to JavaScript only. JSON is used to store and share structured data which is both readable by human

Harsh Sharma

Motivation > Discipl... • 9m

How can I start learning AI/ML. I have completed Python , Numpy and Pandas what should I start learning now?

6 Replies

prakash silvanus

Exploring startups • 1m

can anyone provide me internship my age 19 btech 2nd year skills C python java htm,css,js sql git python python libraries like(numpy,pandas) basic ai and machine learning stock market knowledge intermediate

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

Harish Kumar

Training Consoler • 10m

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

Mantra Pandya

Learning is real wea... • 1y

Day 2 of 100 days of code of data science Lessons learnt Python lists Functions Python problems

Sanskar

Keen Learner and Exp... • 1m

Day 1 of learning AI/Ml as a beginner. Topic: Streamlit I have decided to start learning about the core AI/ML concepts (while also learning mathematics side by side) however you may say that streamlit is not a core AI/ML concept they are NLP, Deep