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Sanskar

Keen Learner and Exp... • 21d

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... • 22d

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

[This post has been deleted by the creator]

Sanskar

Keen Learner and Exp... • 17d

Day 14 of learning data science as a beginner. Topic: Melt, Pivot, Aggregation and Grouping Melt method in pandas is used to convert a wide format data into a long form data in simple words it represent different variables and combines them into ke

Sanskar

Keen Learner and Exp... • 12d

Day 16 of learning Data Science as a beginner. Topic: plotting graphs using matplotlib matplotlib is a the most fundamental plotting library in Python we typically use matplotlib.pyplot module in python you can understand it as the paintbrush whic

Sanskar

Keen Learner and Exp... • 20d

Day 12 of learning data science as a beginner. Topic: data selection and filtering As pandas is created for the purpose of data analysis it offers some significant functions for selecting and filtering some of which are. .loc: this finds the row b

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

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Sanskar

Keen Learner and Exp... • 2m

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

Baqer Ali

AI agent developer |... • 2m

Recently I have made a streamlit data analysis web app in that project I have used streamlit for frontend Pandas for like data analysis part and mathplotlip for graph representation or like representation of data And everything is written in

Sanskar

Keen Learner and Exp... • 3m

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

Sanskar

Keen Learner and Exp... • 18d

Day 13 of learning data science as a beginner. Topic: data cleaning and preprocessing In most of the real world applications we rarely get almost perfect data most of the time we get a raw data dump which needs to be cleaned and preprocessed before