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This video on Python will take you through all the basics and advanced concepts present in Python programming language. You will learn about data types, variables, lists, tuples, dictionaries, and a lot more. You will understand how to use decision-making statements and loops in Python. You will get an idea about creating user-defined functions and learn the various object-oriented programming concepts along with threading and Python scripting. Then, you will learn the various machine learning libraries available in Python, which includes NumPy, Pandas, Matplotlib, Scikit-Learn. Finally, you will come across a few important interview questions that you could face in any Python interview. Now, let’s dive into learning Python in detail.
Below topics are explained in this Python tutorial:
Introduction (0:00)
Python installation in Windows 10 (00:33)
Jupyter Notebook tutorial (04:02)
Python Variables (22:42)
Python Numbers tutorial (47:00)
Python Tuples tutorial (1:19:11)
Strings in Python (01:39:41)
Python Sets & Dictionaries (02:01:57)
Python if,else statements (02:20:24)
Python Loops tutorial (02:32:48)
For Loop in Python (02:54:49)
While Loop in Python (03:13:57)
Arrays in Python (03:44:20)
Functions in Python (03:57:20)
Python Objects & Classes (04:12:48)
Python Threading (04:49:08)
Python scripting for beginners (05:03:18)
Top 5 Python libraries (05:27:11)
NumPy tutorial (05:42:55)
Python Pandas (06:12:59)
MatplotLib tutorial (06:58:18)
Scikit-Learn tutorial (07:50:09)
Web scraping using Python (08:33:43)
How to become a Python developer (09:11:41)
Python interview questions and answers (09:21:08)
We will also be looking at various inbuilt functions used with the data types in Python, functions as objects, args and kwargs keywords, constructors and even plotting different graphs. Finally, we will learn to build, train and test a random forest model using the Scikit-Learn library.
By the end of this tutorial you will learn to write programs in Python and basics of using Python for Machine learning and Data Science applications.
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This Post Graduate Program in Data Analytics, in partnership with Purdue University and in collaboration with IBM, will make you an expert in data analytics. In this Data Analytics course, you’ll learn analytics tools and techniques, the languages of R and Python (with no prior programming experience required), how to create data visualizations with Tableau, and how to apply statistics and analytics in a business environment. Simplilearn’s PGP in Data Analytics will provide you with extensive expertise in the booming data analytics and data science fields.
Key features:
1. Purdue Post Graduate Program Certification
2. Purdue Alumni Association Membership
3. Enrollment in Simplilearn’s JobAssist
4. Industry-recognized IBM certificates
5. 180+ hours of Blended Learning
6. 14+ hands-on projects on integrated labs
7. Capstone Project in 3 Domains
8. Masterclasses from Purdue faculty
Skills covered:
1. Data analytics
2. Statistical analysis using Excel
3. Data analysis: Python & R
4. Data visualization: Tableau & PowerBI
5. Linear and logistic regression modules
6. Clustering using k-meansSupervised learning
Program details:
Fast track your career in the data analytics field via a comprehensive curriculum covering the concepts of data analytics and statistics foundation, analyzing data using Python and R programming languages, interacting with databases using SQL, and visualizing the data using Tableau and powerBI.
Learn more at:
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Below topics are explained in this Python tutorial:
1. Python installation in Wondows 10 (00:33)
2. Jupyter Notebook tutorial (04:02)
3. Python Variables (22:42)
4. Python Numbers tutorial (47:00)
5. Python Tuples tutorial (1:19:11)
6. Strings in Python (01:39:41)
7. Python Sets & Dictionaries (02:01:57)
8. Python if,else statements (02:20:24)
9. Python Loops tutorial (02:32:48)
10. For Loop in Python (02:54:49)
11. While Loop in Python (03:13:57)
12. Arrays in Python (03:44:20)
13. Functions in Python (03:57:20)
14. Python Objects & Classes (04:12:48)
15. Python Threading (04:49:08)
16. Python scripting for beginners (05:03:18)
17. Top 5 Python libraries (05:27:11)
18. NumPy tutorial (05:42:55)
19. Python Pandas (06:12:59)
20. MatplotLib tutorial (06:58:18)
21. Scikit-Learn tutorial (07:50:09)
22. Web scraping using Python (08:33:43)
23. How to become a Python developer (09:11:41)
24. Python interview questions and answers (09:21:08)
Do check out our Python programming training course at https://www.simplilearn.com/mobile-and-software-development/python-development-training . 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!
It's really amazing that u r replying everyone.
I had seen many python tutorials but this one is the best and very useful……
some of the important sample programs taken through in this video doesn't work for me as it is to her when I run them the same.
I'm also making videos on Python programming language..
Can u make videos in parts
jupyterlab not launching
I started learning python by this tutorial ..it's fun to do practicals but
I come across a issue ..while conversion of integer to float . .jupyter notebook is throwing an error i.e. "complex" object is not callable . What should I do ..please help
Thanks For Many Full Courses.. But There s lack of JavaScript Full Course.. JavaScript is most popular programming language.. we want full Course on 😍JavaScript please simplilearn😍
yours this tutorial has made learning so east for me . Watched and practiced first 2 hrs . Thanks you for such a useful video for free
Thankx. 🍂
actually I have already covered the basic of Python and now I am left with various opportunities like data science , web development , automation etc. so I have doubt that :
if one want to become a python developer then we need to master all the above fields or need to pursue one specific field and master it?
waiting for your kind reply.
very helpful thanks a lot
u have done nice work
great job
good video
Hey! How do I get the file you need in the lesson? Where do I find 'winequality-red.csv' for scikt-learn?
1:32:15
where do i get these repositories.
Initially I didn't think this 10 hour course is enough to cover many topics of Python. Boy! I was wrong. 2 hours into the video, I have learnt more than the other Python courses I have taken. Special mention to the instructor. She has explained each and every detail in an articulate manner. Thank you ma'am. ♥️
Hey,its good.
But I have some doubts
Thanks
Thanks a billion..very informative and easy to understand .
Love the course, thank you
Here is my email id- verma.govind92@gmail.com
Please send the Source code. And thanks for your effort to provide awesome content.
Length of list is 3 @3:32:24 or is it 4?🤦
And it can be done this way ,
a=[1,2,3,4]
length=0
While a!=[]:
length+=1
a.pop()
print(length)
Yes I know I am using pop function of list here !
After watch and learn from this video can i get a job??? Or i want to learn more?
Hi,
Again this full course python is different from the course uploaded in different parts? for one they have used pycharm, for other jupyter notebook? Is it so?
the code for integer number reversal on 3:26:00 to 3:29:00 needs to cater for numbers with a zero eg. 89067… that code does not work correctly.
Can you PLEASE add english captions? Im partially deaf and have difficulty hearing the exact words but this looks like what ive been searching for!-anything I can do to help make this possible Ill gladly do! Let me know!
Plz zoom when u type code…