Learn Python, Machine learning, AI
2.1 Python, Anaconda and relevant packages installations
☝️
Go with python 3.7 version - python ( link ) and if you face any issue better to install 3.6 version and it works absolutely fine...
Note: - Please don't go with 3.8 , because it is unstable with tensorflow ( link ) .
Click on the links provided.
Go with python 3.7 version - python ( link ) and if you face any issue better to install 3.6 version and it works absolutely fine...
Note: - Please don't go with 3.8 , because it is unstable with tensorflow ( link ) .
Click on the links provided.
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2.2 Why learn Python?
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2.3 Keywords and identifiers
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2.4 comments, indentation and statements
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2.5 Variables and data types in Python
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2.6 Standard Input and Output
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2.8 Control flow: if else
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2.9 Control flow: while loop
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#Module 3 : Python for Data Science: Data Structures
Section 3 is divided into sub sections
👉 3.1 Lists
👉 3.2 Tuples part 1
👉 3.3 Tuples part 2
👉 3.4 Sets
👉 3.5 Dictionary
👉 3.6 Strings
Section 3 is divided into sub sections
👉 3.1 Lists
👉 3.2 Tuples part 1
👉 3.3 Tuples part 2
👉 3.4 Sets
👉 3.5 Dictionary
👉 3.6 Strings
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3.2 Tuples part 1
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3.3 Tuples part 2
#Module 4 : Python for data science: Functions
Section 4 is divided into sub sections
👉 4.1 Introduction
👉 4.2 Types of functions
👉 4.3 Function arguments
👉 4.4 Recursive functions
👉 4.5 Lambda functions
👉 4.6 Modules
👉 4.7 Packages
👉 4.8 File Handling
👉 4.9 Exception Handling
👉 4.10 Debugging Python
Section 4 is divided into sub sections
👉 4.1 Introduction
👉 4.2 Types of functions
👉 4.3 Function arguments
👉 4.4 Recursive functions
👉 4.5 Lambda functions
👉 4.6 Modules
👉 4.7 Packages
👉 4.8 File Handling
👉 4.9 Exception Handling
👉 4.10 Debugging Python
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4.1 Introduction
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4.2 Types of functions
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4.3 Function arguments