What is an ideal checklist to learn Python in 30 days?

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Rajaram Kalahasti

Why do you want to learn python? If its for pursuing data analysis / machine learning - i recommend this path: Start with Basics of python like the datatypes, Int, float, string, lists, tuples, dictionaries and then learn about standard library functions, user defined functions , control structures. ...
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Why do you want to learn python? If its for pursuing data analysis / machine learning - i recommend this path: Start with Basics of python like the datatypes, Int, float, string, lists, tuples, dictionaries and then learn about standard library functions, user defined functions , control structures. Then move onto learning Pandas - this is where you can do data analysis. For more indepth data analysis,like predictive modelling etc, you need to progress the journey by learning statistics ( Descriptive and inferential) - followed by machine learning topics. read less
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1. Basics of OS 2. Fundamentals of Scripting 3. Fundamentals of Object-Oriented Programming 4. Good Python 5. Your involvement in learning.
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Topics: Data Types Data Structures Loops & Control Structures Functions Text Processing matplotlib numpy pandas Pyspark fundamentals Web Scraping
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Kubernetes/Python/AWS Trainer with more than 14 years of IT experience.

Pick up a basic course either offline or online, Plan to complete all the basic topics in 30 days. Do practice daily with at least 5 programs.
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Is Python useful for learning?
Now days Python is very useful for data analytics and Development.
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Should I learn Python 2 first, or can I go straight to Python 3?
Go straight to Python 3.
Santosh
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Main problem statement : import a .xlsx file in python with a dataset value then after import we need to ensure that every time I enter a value in a row ; row must be added by 1 and automatically value changes to a row using python script without manually intervention . 
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What are the two techniques of Machine Learning?
Two types of learning supervised and unsuperwise learning.
Janvi
SVM is applicable only for numeric data or can also be for textual data?
SVM can work with textual data also. However you have to train the SVM to classify the text data. It is a usual practice to create a document-term matrix from the text that you have, to make SVM work easily on the data.
Harsha

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