Please download the python material notebook from the resource section.
Advantages of python
- Easy to Read, Learn and Write
Python is a high-level programming language that has English-like syntax. This makes it easier to read and understand the code.
- Interpreted Language
Python is an interpreted language which means that Python directly executes the code line by line. In case of any error, it stops further execution and reports back the error which has occurred.
Python shows only one error even if the program has multiple errors. This makes debugging easier.
- Dynamically Typed
Python doesn’t know the type of variable until we run the code. It automatically assigns the data type during execution.
- Vast Libraries Support
The standard library of Python is huge, you can find almost all the functions needed for your task. So, you don’t have to depend on external libraries.
- Portability
In many languages like C/C++, you need to change your code to run the program on different platforms. That is not the same with Python. You only write once and run it anywhere.
Fille :
Python Material.ipynb
45.5 kB
Python Interview Questions
Please download the Interview questions and solutions from the resource section.
- This section on Python Interview Questions covers key questions that are commonly asked during the interview process. You may be new to the interview process, but learning these questions will certainly help you confidently respond to the interviewer and succeed in your next interview.
File:
Python Interview Questions.ipynb
1.2 MB
Reading Material - List Comprehension
Please download the reading material notebook from the resource section.
List comprehension using conditional statements and loops.
File :
List Comprehension.ipynb
5.1 kB
Reading Material - Basic User Defined Functions
Please download the reading material notebook from the resource section.
Basic User-defined functions are discussed in the following notebook.
File :
User defined functions.ipynb
8.5 kB
Reading Material - Advanced User Defined Functions
Please download the reading material notebook from the resource section.
User-defined functions with conditional statements and loops are discussed in the following notebook.
File :
User_defined_functions(advance).ipynb
8.9 kB
Reading Material - User Input Methods
Please download the reading material notebook from the resource section.
User Inputs and Enumeration function is discussed in the following notebook.
File :
User_input.ipynb
11 kB
Reading material - Map, Reduce and Filter
Please download the reading material notebook from the resource section.
Lambda, Map, Reduce, and Filters functions are discussed in the following notebook.
File :
Map_Reduce_Filter.ipynb
9 kB
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