Ameneh Shadlo

IT Manager | Enterprise Developer

FA

python :

What is Python?
is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.

Lessions

Python Session 1 | introduction

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Python Session 2 | datatype in python

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Python Session 3 | variable in python

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Python Session 4 | input-print in python

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Python Session 5 | if in python

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Python Session 6 | list in python

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Python Session 7 | for in python

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Python Session 8 | while in python

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Python Session 9 | str in python

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Python Session 10 | tuple in python

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Python Session 11 | dictionary in python

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Python Session 12 | function in python

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Python Session 13 | library in python

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Python Session 14 | file in python

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Python Session 15 | csv file in python

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Python Session 16 | object oriented - class in python

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Python Session 17 | object oriented - inheritance in python

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Python Session 18 | object oriented - multiinheritance in python

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Python Session 19 | mysql in python

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Python Session 20 | insert - updat - delete data in mysql in python

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Python Session 21 | sample project in python

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Python Session 22 | lambda - map - filter in python

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Python Session 23 | numpy in python

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Python Session 24 | pandas in python

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Python Session 25 | excel in pandas in python

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