Professional Programming With Python
Professional Programming With Python
Beginner
Tk. 7,000
Who Can Join This Course?
Computer and Internet. Good to Have Basic Programming knowledge
Course Outline
Intro to computer programming with python.
● How python execution works.
● What is Interpreted language.
● What is garbage collection.
● What is PyCache.
Python object and data structure.
● Introduction to Python Data Types.
● Built-in data structure.
● User-defined data structure.
● Data operation practice.
Python statement.
● Conditional statement.
● Sequential Control Flow.
● Decision Control Flow.
● Repetition Control Flow.
● Nested Conditional Statement.
Python comparison operators and Git.
● Introduction to comparison operator.
● Chaining comparison operator.
● Introduction to git and GitHub.
Dictionaries and Collection.
● Dictionary operations.
● Advanced Dictionary operations.
● Collection operations.
● Advanced Collection operations.
Methods and Functions.
● Different types of Functions practice.
● Use of *args and **kwargs.
● Lamda expression and Filter Function.
● Project 1 Start.
OOP Practice in python.
● Python Class.
● Attributes and method.
● Inheritance and Abstraction.
● Function overloading.
● Operator Overloading.
● Advanced OOP concepts and Practice.
Error and Exception handling.
● Different types of python error.
● Error handling techniques.
● Assertions.
Python Decorator.
● Decorator Practice.
● Advanced techniques.
● Project 1 review.
Python Generator and Virtual Environment.
● Generator Practice.
● Advanced techniques.
● Project 1 review.
● Virtual Environment .
Advanced Python modules 1.
● Pypi, Pip, Pandas, Numpy.
● Tensorflow.
● Project 1 Complete.
Advanced Python modules 2.
● Flask API.
● JSON Manipulation.
● Project 2 start (Students select their project: ML or Backend).
Working with files and Email.
● Reading and Writing on Files.
● Dictionary Listing.
● File Attribute.
● Delete, Copy, Move File and Directories
● Archive File and Directories.
● Project 2 review.
Python Lambda and Itertools.
● Use of Lambda Function.
● Advanced Lambda operations.
● Different types of itertools.
● Itertool Permutations.
● Project 2 review.
Python metaclasses.
● Intro to Metaclasses.
● Class Allocation and Initialization.
● Method Visibility.
● Instance Contractor.
● Naming Descriptors.
● Inheritance and Metaclass.
● Magic method.
Byte oriented programming.
● Bitwise Operation on Integers.
● Byte-wise Operations with Integers.
● bytearray Type.
● Memory-mapped Files.
Working with database.
● CRUD Operation in Database.
● Project 2 review.
Multithreading and Multiprocessing.
● Threading vs Multithreading.
● Multiprocessing Practice.
● Multiprocessing Lock.
● Multiprocessing Pool.
● Project 2 review.
Design Pattern.
● Factory Design Pattern.
● Proxy Design Pattern.
● Function Chaining.
● Singleton Design Pattern.
● Composite Design pattern.
Project and CV Review.
● Project 2 Complete.
● CV Complete.
● Career Talk.
Instructors
I enjoy teaching a lot and also I am very passionate about programming. Working as a senior software engineer right now. I will feel honored to share my knowledge with Devskill students. Hope these students will achieve the goals that they were dreaming of and I can help them through the process with my guidance and experience..
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