Educate Nxt
Web Development
Python
English English [Auto]
Python
Go from Beginner to Expert in Python by building projects. The best investment for your Python journey!
Beginner Last Updated At 14/2022English English [Auto]
Key Learning
From foundations to expert, learn about every major Python topic, working with Python 3.
Write professional-grade Pythonic code with all the best practices and avoiding common pitfalls.
Master Object-Oriented Programming and structure your Python programs like a professional.
Swiftly understand complex topics like decorators, algorithms, and asynchronous programming in Python.
Automate extracting data from websites using web scraping libraries like BeautifulSoup and Selenium.
Learn how to write desktop applications with Python and Tkinter.
Interact with REST APIs using Python and build a currency converter!
Develop a life-long love for programming with Python!
16 sections • 126 lessons • 40 hrs total length
Identifiers
Keywords
Comparison/Relational Operators
Operators in Python
Expressions
Variables
Identifier rules
Live Online
Logical Operator
Bitwise Operators
Identity Operators
Membership Operators
Python Multiple Assignment
Python Sample PDF
Setting Python IDE
Downloading & Installing Python
Applications of Python
Python Features
Why do we need to learn python more than other languages?
Importance of programming
What is programming?
What are programming languages?
Python doubt clearing session
What are Control Structures
Decision making statements
If, if-else and elif statements
Iterative statements
While and for
While and for with else
While Vs for loop - When and where to use
Primitive Data Types
Advanced Data Types
What are Sequences
Mutable Data Types
Mutable Data Types - List
Mutable Data types dictionary
Mutable data types set
Immutable data types
Immutable data types Numbers
Immutable data types strings
Immutable data types Tuples
Difference between Immutable & Mutable Data types
Python Built-in functions
What is dir command
Explore built-in functions in String data type
Explore built-in functions in List, Tuple, Set and Dictionary
How to read input from user
How to print a message on screen
Eval function and its importance
Python Lab 1
Build-in Functions
Basic Python program and meaning of tokens used
List slicing and Programs using list slicing, list operations
Programs using string
Programs using dictionary
Programs using set
What is range operator
Programs using range operator
What is a function
Different types of functions
Recursive functions
Scoping in functions
Local & Global scope
Global keyword
Nested functions
Nonlocal scoping
Different Types of Functions - User Defined
Different Types of Functions - Built in
What is a Module
Difference between Built-in and User defined modules
Using import statement
Aliasing in Modules
Relative Vs Absolute import
Why import * is not recommended
What is a Package
Creating your own package and module
What is init .py
Importance of init .py - when and where it is needed
How Python locates modules
What is a python search path
What is byte code and its importance
Why python creates bytecode only for modules
How to forcibly reload bytecode
What are files in python
Open function and its significance
Close function and its significance
Different modes of opening files in python
Reading, Writing and Appending files
Seeking and obtaining file pointer position
Opening binary files in python
What is Functional Programming
Difference between Functions and anonymous functions
Lambda
Map
Filter
Reduce
When and how to use functional programming
What is Meta Programming
Inner functions
First class functions
higher argument functions
What is Decorator
Decorator functions
Programming on Decorator functions
Fundamental OOPS concepts
What is constructor
What is destructor
Access specifiers in python - public, private and protected
Getter and Setter methods
Built-in attributes
Local, Global and class variables in OOPs
Inheritance
Different types of inheritance with an example
Polymorphism
Built-in Polymorphic operators
Overriding functions
How to implement overloading in python
Use-case based program covering OOPs concepts
What is Exception
Exception handling in Python
Creating user defined exceptions
Iterators and Iterables in Python
Generators in Python
List comprehensions
Memory management in Python
Python Course Curriculum
Objectives:
Upon successful completion of this training learners will be able to:
- Master fundamentals of coding in Python.
- Understand Python Programming basics such as sequences, control structures and Mutable Vs Immutable data types.
- Explore Functions, Modules & Packages and File operations.
- Discover functional programming, Decorators and Exception handling concepts.
- Understand Object Oriented fundamentals and Object Oriented features in Python.
- Explore on Advanced topics like Iterators, Generators, List comprehensions and Memory management in Python.
Who can take this course?
Anybody who is new to Python programming or wants to refresh their programming background such as Students, Freshers, Non-Experienced Programmers, Program Analysts, Developers, Tech Leads, Architects, Project Managers, Technical Program Managers and Product Managers can take this course.
Career Opportunities:
- Programmer or Developer
- Programmer Analyst
- System Development Engineer
- Devops
- Tech Support Engineer
- Site Reliability Engineer(SRE)
- Automation Engineer
- Testing Engineer(Help them in good in coding in python)
- Unix Administrator using Python
Prerequisites
Learners should already be comfortable using the operating system (Linux, Unix, Windows etc.) etc.) on which they will be running Python. While not mandatory, basic skills with at least one other programming language is desirable.
Educate Nxt
Web Development
Python
English English [Auto]
Python
Go from Beginner to Expert in Python by building projects. The best investment for your Python journey!
Beginner Last Updated At 14/2022English English [Auto]
Request a Demo
Key Learning
From foundations to expert, learn about every major Python topic, working with Python 3.
Write professional-grade Pythonic code with all the best practices and avoiding common pitfalls.
Master Object-Oriented Programming and structure your Python programs like a professional.
Swiftly understand complex topics like decorators, algorithms, and asynchronous programming in Python.
Automate extracting data from websites using web scraping libraries like BeautifulSoup and Selenium.
Learn how to write desktop applications with Python and Tkinter.
Interact with REST APIs using Python and build a currency converter!
Develop a life-long love for programming with Python!
16 sections • 126 lessons • 40 hrs total length
Identifiers
Keywords
Comparison/Relational Operators
Operators in Python
Expressions
Variables
Identifier rules
Live Online
Logical Operator
Bitwise Operators
Identity Operators
Membership Operators
Python Multiple Assignment
Python Sample PDF
Setting Python IDE
Downloading & Installing Python
Applications of Python
Python Features
Why do we need to learn python more than other languages?
Importance of programming
What is programming?
What are programming languages?
Python doubt clearing session
What are Control Structures
Decision making statements
If, if-else and elif statements
Iterative statements
While and for
While and for with else
While Vs for loop - When and where to use
Primitive Data Types
Advanced Data Types
What are Sequences
Mutable Data Types
Mutable Data Types - List
Mutable Data types dictionary
Mutable data types set
Immutable data types
Immutable data types Numbers
Immutable data types strings
Immutable data types Tuples
Difference between Immutable & Mutable Data types
Python Built-in functions
What is dir command
Explore built-in functions in String data type
Explore built-in functions in List, Tuple, Set and Dictionary
How to read input from user
How to print a message on screen
Eval function and its importance
Python Lab 1
Build-in Functions
Basic Python program and meaning of tokens used
List slicing and Programs using list slicing, list operations
Programs using string
Programs using dictionary
Programs using set
What is range operator
Programs using range operator
What is a function
Different types of functions
Recursive functions
Scoping in functions
Local & Global scope
Global keyword
Nested functions
Nonlocal scoping
Different Types of Functions - User Defined
Different Types of Functions - Built in
What is a Module
Difference between Built-in and User defined modules
Using import statement
Aliasing in Modules
Relative Vs Absolute import
Why import * is not recommended
What is a Package
Creating your own package and module
What is init .py
Importance of init .py - when and where it is needed
How Python locates modules
What is a python search path
What is byte code and its importance
Why python creates bytecode only for modules
How to forcibly reload bytecode
What are files in python
Open function and its significance
Close function and its significance
Different modes of opening files in python
Reading, Writing and Appending files
Seeking and obtaining file pointer position
Opening binary files in python
What is Functional Programming
Difference between Functions and anonymous functions
Lambda
Map
Filter
Reduce
When and how to use functional programming
What is Meta Programming
Inner functions
First class functions
higher argument functions
What is Decorator
Decorator functions
Programming on Decorator functions
Fundamental OOPS concepts
What is constructor
What is destructor
Access specifiers in python - public, private and protected
Getter and Setter methods
Built-in attributes
Local, Global and class variables in OOPs
Inheritance
Different types of inheritance with an example
Polymorphism
Built-in Polymorphic operators
Overriding functions
How to implement overloading in python
Use-case based program covering OOPs concepts
What is Exception
Exception handling in Python
Creating user defined exceptions
Iterators and Iterables in Python
Generators in Python
List comprehensions
Memory management in Python
Python Course Curriculum
Objectives:
Upon successful completion of this training learners will be able to:
- Master fundamentals of coding in Python.
- Understand Python Programming basics such as sequences, control structures and Mutable Vs Immutable data types.
- Explore Functions, Modules & Packages and File operations.
- Discover functional programming, Decorators and Exception handling concepts.
- Understand Object Oriented fundamentals and Object Oriented features in Python.
- Explore on Advanced topics like Iterators, Generators, List comprehensions and Memory management in Python.
Who can take this course?
Anybody who is new to Python programming or wants to refresh their programming background such as Students, Freshers, Non-Experienced Programmers, Program Analysts, Developers, Tech Leads, Architects, Project Managers, Technical Program Managers and Product Managers can take this course.
Career Opportunities:
- Programmer or Developer
- Programmer Analyst
- System Development Engineer
- Devops
- Tech Support Engineer
- Site Reliability Engineer(SRE)
- Automation Engineer
- Testing Engineer(Help them in good in coding in python)
- Unix Administrator using Python
Prerequisites
Learners should already be comfortable using the operating system (Linux, Unix, Windows etc.) etc.) on which they will be running Python. While not mandatory, basic skills with at least one other programming language is desirable.
Student's Testimonials
Shivani
Student
The course met and far exceeded my expectation. It met all the objectives, covering all relevant aspects of the programming. This gave me a greater...
Madhuri
Student
I have found this self-paced learning course to be useful. The access to labs complimented the course and me confidence to solve problem statements in...
Sri Valli
Student
I enrolled into this course looking to build a foundation in programming. After the completion of this course, I now feel I understand the complete...
Jyothi
Student
The overall experience of the course is very good. The labs and exercises complement your learning. If you want to improve your programming skills, it...
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