Python Programming Inside Out. A Total Reference
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Python Programming Inside Out. A Total Reference
$44.99 Original price was: $44.99.$14.00Current price is: $14.00.
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Python Programming Inside Out. A Total Reference
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$44.99
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as of December 21, 2024 7:42 am
History and features. Interactive vs Script mode. Lists, Tuples, Strings ,Set. while & for loop. Functions, Oops. GUI.
Created by:
Prof . Mathew K K Kanhirathinkal Kurian
Object Oriented Programming in C++ Inside Out.
Object Oriented Programming in C++ Inside Out.
Rating:4.83 (18reviews)
149students enrolled
What Will I Learn?
- Students get an extensive and elaborate discussion of Python programming covering a variety of topics.
- General Introduction, history of Python, Python Features, Functional and structured programming approach, OOPs concept.
- Interactive mode programming using IDLE gui interpreter, Script mode programming using PyCharm IDE etc.
- Python Indentation concept instead of curly braces, Comments in Python, Python Variables, Constants and Literals.
- Python Identity Operators, Python Membership Operators. And numerous example programs from each area discussed.
- Python Data Types : Numbers, Lists, Tuples, Strings, Set, Dictionary etc. Lots of example program to elaborate these topics.
- Elaborate discussions of the functionality associated with each data type like slicing, updating, deleting, removing, looping through etc.
- Immutable data types like Tuples and mutable data type like Lists explained in great detail. Various examples follow in each data types.
- The while loop and for loop explained with the usage of the break and continue statements. Numerous examples discussed.
- The if, elif, etc discussed at length. The Types of Arguments explained well. Like Required Arguments, Keyword Arguments, Default Arguments, and Variable length Arguments .
- Concept of functions in Python. Defining a function using the def keyword explained in detail.
- The concept of Lambda / Anonymous function with numerous example program. The importance of lambda function.
- Python Matrix with examples. Python Comprehensions : Like List comprehension, Dictionary comprehension, set comprehension etc.
- File handling in Python. Reading the contents of file, writing to a file.
- Object Oriented Programming in Python. Overview of OOP terminology. Destroying objects (Garbage collection ) . Class Inheritance .
- Encapsulation in Python. Example programs. Polymorphic functions in Python.
- Database Applications in Python. MySQL server and connection to it through the python driver with examples.
- Exceptions in python. The try-except block . Python Network programming. Socket programming in Python.
- Python Socket vocabulary. Python socket module. Creating server programs and client programs. Creating a simple chat server.
- Multi threaded programming in Python. Threads an overview. Synchronizing and locking threads.
- Python XML processing. Parsing an XML file. SAX and DOM and minidom modules.
- Python GUI programming using Tkinter module. Creating various widgets to be used in GUI programs like label, button, message box etc.
- Turtle programming in Python. Creating numerous shapes like square, spiral, hexagon, star etc.
- Python Generators, Python Closures, Closure definition, Python Decorators, Property in Python. The concept of @property in Python.
Requirements
- Basic High school education is desirable. A good background in Maths and Science is good only , but not necessary. Python is designed for everybody who has a has a basic sense of logic.
- Prior knowledge in any programming language like C, C++, Java etc will be an added advantage. You will see how simple is Python in comparison with all these language.
Target audience
- Our target students are anybody who has a desire to study new technologies. Programmers from other languages like C++, Java etc prefer Python .
- Because Python is probably the best known language for learning machine learning and subsequently to enter the vast ocean of AI(Artificial Intelligence).
- For students doing a course in Science as well as Economics / Statistics and definitely in Engineering of any discipline the course will be greatly beneficial.
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