What are the Python libraries that are used by data scientists?

Asked by Last Modified  

5 Answers

Learn Python

Follow 2
Answer

Please enter your answer

Sana

I am online Quran teacher 7 years

Data scientists commonly use the following Python libraries: 1. *NumPy*: For numerical computations and data manipulation. 2. *pandas*: For data manipulation, analysis, and visualization. 3. *Matplotlib* and *Seaborn*: For data visualization. 4. *Scikit-learn*: For machine learning algorithms...
read more
Data scientists commonly use the following Python libraries: 1. *NumPy*: For numerical computations and data manipulation. 2. *pandas*: For data manipulation, analysis, and visualization. 3. *Matplotlib* and *Seaborn*: For data visualization. 4. *Scikit-learn*: For machine learning algorithms and modeling. 5. *TensorFlow* and *Keras*: For deep learning and neural networks. 6. *PyTorch*: For deep learning and neural networks. 7. *Statsmodels*: For statistical modeling and analysis. 8. *Scipy*: For scientific computing and signal processing. 9. *Plotly*: For interactive data visualization. 10. *Bokeh*: For interactive data visualization. 11. *Pandas-datareader*: For accessing and manipulating financial and economic data. 12. *Beautiful Soup* and *Scrapy*: For web scraping and data extraction. 13. *NLTK* and *spaCy*: For natural language processing and text analysis. 14. *OpenCV*: For computer vision and image processing. 15. *XGBoost* and *LightGBM*: For gradient boosting and machine learning. These libraries provide efficient data analysis, machine learning, and visualization capabilities, making Python a popular choice for data science tasks. read less
Comments
Dislike Bookmark

"Transforming your struggles into success"

Python libraries commonly used by data scientists include **NumPy** for numerical computations, **Pandas** for data manipulation, **Matplotlib** and **Seaborn** for data visualization, **Scikit-learn** for machine learning, **TensorFlow** and **PyTorch** for deep learning, and **SciPy** for scientific...
read more
Python libraries commonly used by data scientists include **NumPy** for numerical computations, **Pandas** for data manipulation, **Matplotlib** and **Seaborn** for data visualization, **Scikit-learn** for machine learning, **TensorFlow** and **PyTorch** for deep learning, and **SciPy** for scientific computing. read less
Comments
Dislike Bookmark

Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

Data scientists commonly use the following Python libraries: 1. **Pandas**: For data manipulation and analysis, providing data structures like DataFrames.2. **NumPy**: For numerical operations, especially with large arrays and matrices.3. **Matplotlib**: For creating static, interactive, and animated...
read more
Data scientists commonly use the following Python libraries: 1. **Pandas**: For data manipulation and analysis, providing data structures like DataFrames.2. **NumPy**: For numerical operations, especially with large arrays and matrices.3. **Matplotlib**: For creating static, interactive, and animated visualizations.4. **Seaborn**: For statistical data visualization, built on top of Matplotlib.5. **SciPy**: For scientific and technical computing, including optimization and integration.6. **Scikit-learn**: For machine learning and data mining tasks, offering various algorithms and tools.7. **TensorFlow**: For deep learning and neural networks.8. **Keras**: A high-level neural networks API, running on top of TensorFlow.9. **Statsmodels**: For statistical modeling and hypothesis testing.10. **NLTK**: For natural language processing and text analysis. These libraries help with data manipulation, visualization, and machine learning tasks. Here is my number Call 073-1485-0321. read less
Comments
Dislike Bookmark

pandas, numpy, matplotlib, seaborn, sklearn
Comments
Dislike Bookmark

In data science, Python libraries like Pandas (for data manipulation), NumPy (for numerical operations), and Matplotlib (for basic visualizations) are essential. Scikit-learn offers machine learning tools, while TensorFlow and PyTorch are used for deep learning. These tools streamline analysis, modeling,...
read more
In data science, Python libraries like Pandas (for data manipulation), NumPy (for numerical operations), and Matplotlib (for basic visualizations) are essential. Scikit-learn offers machine learning tools, while TensorFlow and PyTorch are used for deep learning. These tools streamline analysis, modeling, and visualization for data projects. read less
Comments
Dislike Bookmark

View 3 more Answers

Related Questions

What is the best python institute
All institutes are best, but you should check with the instructor, how will teach and guide you
Dinesh
How do I learn Python?
Start with online tutorials, books, and practice coding. Join communities and work on projects to improve.
Kirti
0 0
6
Which should I learn: Python or PHP?
Would depend on your goals but these days python is fairly popular in solving web development related tasks with ease.
Sarath Chandra
0 0
5
What are good books on advanced topics in Python?
Here are some good books on advanced topics in Python: 1. **"Fluent Python" by Luciano Ramalho**: Focuses on Python’s advanced features and best practices.2. **"Effective Python: 90 Specific Ways...
Vinodha
0 0
5
Who developed Python?
Guido van Rossum
Govind
0 0
5

Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com

Ask a Question

Related Lessons

Learn Python : Formatting with the .format () method
A good way to format objects into your strings for print statements is with the string.format() method. The syntax is :'String here {} then also {}'.format('something1','something2')Example 1:print("This...
B

Biswanath Banerjee

0 1
0
Code: Gantt Chart: Horizontal bar using matplotlib for tasks with Start Time and End Time
import pandas as pd from datetime import datetimeimport matplotlib.dates as datesimport matplotlib.pyplot as plt def gantt_chart(df_phase): # Now convert them to matplotlib's internal format... ...
R

Rishi B.

0 0
0
A program to calculate Correlation Coefficient
Task: Calculating the Correlation-coefficient using Python We know that the correlation coefficient is calculated using the formula nΣxy- ΣxΣy / (√(nΣx^2-(Σx)^2)...

Ashish K Sharma

0 0
0
Writing Simple Programs in Python
Writing a program, especially for a beginner, is a challenging and daunting task! He/She knows the language but is not able to start. To make things simple, it is advisable to follow a process that is...

Ashish K Sharma

0 0
0
Why Python
Python can be used in any futuristics technology A= Analytics Data Science Artificial Intelligence(AI) Neural Network(NN) Natural Language Processing(NLP) Computer Vision(OpenCV) In Analytics...

Mujahed

0 0
0

Recommended Articles

Top 5 reasons why you should learn Python

Python is one of the most popular programming languages in the world. It is general-purpose, object oriented, high-level programming language used in a number of programming fields. Python is a great programming language to learn as it will introduce you to the world of programming. If you are from the technical background...

Read full article >

Make a Career as a BPO Professional

Business Process outsourcing (BPO) services can be considered as a kind of outsourcing which involves subletting of specific functions associated with any business to a third party service provider. BPO is usually administered as a cost-saving procedure for functions which an organization needs but does not rely upon to...

Read full article >

Learn Microsoft Excel

Microsoft Excel is an electronic spreadsheet tool which is commonly used for financial and statistical data processing. It has been developed by Microsoft and forms a major component of the widely used Microsoft Office. From individual users to the top IT companies, Excel is used worldwide. Excel is one of the most important...

Read full article >

Learn Hadoop and Big Data

Hadoop is a framework which has been developed for organizing and analysing big chunks of data for a business. Suppose you have a file larger than your system’s storage capacity and you can’t store it. Hadoop helps in storing bigger files than what could be stored on one particular server. You can therefore store very,...

Read full article >

Find Python Training classes near you
Python Training classes in Bangalore
Python Training classes in Hyderabad
Python Training classes in Chennai
Python Training classes in Delhi
Python Training classes in Pune
Python Training classes in Mumbai
Python Training classes in Noida
Python Training classes in Kolkata
Python Training classes in Gurgaon
Python Training classes in Jaipur
Online Python Training

Looking for Python Training classes?

Learn from the Best Tutors on UrbanPro

Are you a Tutor or Training Institute?

Join UrbanPro Today to find students near you