Top 5 Python Libraries For Data Science | Python Libraries Explained | Python Tutorial | Simplilearn




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Python is the most widely used programming language today. When it comes to solving Data Science tasks and challenges, Python never ceases to surprise its audience. Most data scientists are already leveraging the power of Python programming every day. Python is easy to learn, easier to debug, widely used, object-oriented, open source, high-performance language and there are many more benefits of using Python programming. Python has been built with extraordinary libraries which are used by programmers everyday in solving the problems. So, now let us talk about the Top 5 Python libraries for Data Science.

Below are the Top 5 Python libraries for Data science:

1. Tensorflow ( 00:29 )
2. Numpy ( 03:01 )
3. Scipy ( 06:38 )
4. Pandas ( 08:20 )
5. Matplotlib ( 11:41 )

To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

You can also go through the slides here: https://goo.gl/i1H9jP

Read the full article here: https://www.simplilearn.com/career-in-data-science-ultimate-guide-article?utm_campaign=What-is-Data-Science-bTTxei-S1WI&utm_medium=Tutorials&utm_source=youtube

Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#DataScienceWithPython #DataScience #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning

This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jump start your career with this interactive, hands-on course.

Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. A Data Scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a Data Scientist you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.

You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to:

1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
Install the required Python environment and other auxiliary tools and libraries
2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave
4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package
5. Gain expertise in machine learning using the Scikit-Learn package

The Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
5. Experienced professionals who would like to harness data science in their fields

Learn more at: https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training?utm_campaign=Top-5-Libraries-For-Data-Science-8OixQrWRiXo&utm_medium=Tutorials&utm_source=youtube

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Comment List

  • Simplilearn
    December 7, 2020

    Interested in programming? Here is your one-stop destination to kick-start your programming journey for Free! Subscribe to our new channel #SimpliCode : https://bit.ly/3eGepgQ

  • Simplilearn
    December 7, 2020

    Thank you! Video has great structure and good content! πŸ™‚

  • Simplilearn
    December 7, 2020

    Good job..πŸ‘πŸ‘

  • Simplilearn
    December 7, 2020

    Thanks a lot. I want to learn python for web scraping. please suggest me where to start.

  • Simplilearn
    December 7, 2020

    thank you dear please upload particular video of each library in shortly

  • Simplilearn
    December 7, 2020

    <>

  • Simplilearn
    December 7, 2020

    πŸ‘Œ

  • Simplilearn
    December 7, 2020

    Great job summarizing this!!

  • Simplilearn
    December 7, 2020

    Can you tell about machine learing

  • Simplilearn
    December 7, 2020

    I got error

    Module pandas has no attribute dataframe

  • Simplilearn
    December 7, 2020

    The real reason Python exist. NodeJS is the best for web, but python, man oh man, it's the best for machine learning. Great overview videos where you mentioned numpy, scipy, pandas, tensorflow, matplotlib. You might want to explain about that Jupyter too, but it's not really a big topic, it's just a "console" but better, just install and run. So it's all OK.

  • Simplilearn
    December 7, 2020

    Hello team, thaks for sharing …. Could you also help with detailed video on using same libraries ?…thanks in advanced

  • Simplilearn
    December 7, 2020

    It would be great if you could pick one problem/case study or a similar one involving big data may be from a csv file/text file and shoe us how to design pipeline for the analysis and create dataframe, using other pandas and numpy functions, develop some basic models using scikit learn and finally visualize the results using some representations like plots using matplotlib!! It would give a better and quick understanding on big data analytics using these libraries! Sincerely appreciate your efforts!!! Thanks a lot

  • Simplilearn
    December 7, 2020

    Can you please tell me about machine learning libraries?

  • Simplilearn
    December 7, 2020

    Can you guys please start a course of learning Python on this youtube channel?

  • Simplilearn
    December 7, 2020

    Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Thanks for watching the video. Cheers!

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