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Get the best Training on Python from NUX software Solution.
Do you wish to gain expertise in Associate in Python? In that case, NUX software Solution would just be the perfect option for you. We offer a comprehensive training module on Python where you will be trained on all the aspects of it.
We have some of the best faculties and one of the best infrastructures to render high-quality training. Our course has different sections where students are taught about different aspects of this programming language.
- Import and use modules and packages
import variants: import, from import, import as, import *
advanced qualifying for nested modules
the dir() function
the sys.path variable
- Perform evaluations using the math module
functions: ceil(), floor(), trunc(), factorial(), hypot(), sqrt()
- Generate random values using the random module
functions: random(), seed(), choice(), sample()
- Discover host platform properties using the platform module
functions: platform(), machine(), processor(), system(), version(), python_implementation(), python_version_tuple()
- Create and use user-defined modules and packages
idea and rationale;
the __pycache__ directory
the __name__ variable
public and private variables
the __init__.py file
searching for/through modules/packages
nested packages vs. directory trees
- Handle errors using Python-defined exceptions
except, except:-except, except:-else:, except (e1, e2)
the hierarchy of exceptions
raise, raise ex
assert
event classes
except E as e
the arg property
- Extend the Python exceptions hierarchy with self-defined exceptions
self-defined exceptions
defining and using self-defined exceptions
- Understand machine representation of characters
encoding standards: ASCII, UNICODE, UTF-8, code points, escape sequences
- Operate on strings
functions: ord(), chr()
indexing, slicing, immutability
iterating through strings, concatenating, multiplying, comparing (against strings and numbers)
operators: in, not in
- Employ built-in string methods
methods: .isxxx(), .join(), .split(), .sort(), sorted(), .index(), .find(), .rfind()
- Understand the Object-Oriented approach
ideas and notions: class, object, property, method, encapsulation, inheritance, superclass, subclass, identifying class components
- Employ class and object properties
instance vs. class variables: declarations and initializations
the __dict__ property (objects vs. classes)
private components (instances vs. classes)
name mangling
- Equip a class with methods
declaring and using methods
the self parameter
- Discover the class structure
introspection and the hasattr() function (objects vs classes)
properties: __name__, __module__ , __bases__
- Build a class hierarchy using inheritance
single and multiple inheritance
the isinstance() function
overriding
operators:
not is
- , is
polymorphism
overriding the __str__() method
diamonds
- Construct and initialize objects
declaring and invoking constructors
- Build complex lists using list comprehension
list comprehensions: the if operator, nested comprehensions
- Embed lambda functions into the code
lambdas: defining and using lambdas
self-defined functions taking lambdas as arguments
functions: map(), filter()
- Define and use closures
closures: meaning and rationale
defining and using closures
- Understand basic Input/Output terminology
I/O modes
predefined streams
handles vs. streams
text vs. binary modes
- Perform Input/Output operations
the open() function
the errno variable and its values
functions: close(), .read(), .write(), .readline(), readlines()
using bytearray as input/output buffer
