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Python

Python Course Objective

Python has been one of the premier, flexible, and powerful open-source languages that are easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.

Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence, and file operations in Python. You will use libraries like pandas, NumPy, matplotlib, scikit, and master the concepts like Python machine learning, scripts, and sequence.

What is python programming?

Python is an interpreted, object-situated, high-level programming language. As it is universally useful, it has a wide scope of utilizations from web improvement, building work area GUI to logical and numerical registering. Python is well known for its basic and moderately clear sentence structure. Its punctuation coherence builds efficiency as it permits us to zero in a larger number on the issue rather than organizing the code.

Python is a strong multipurpose programming language. It has a straightforward and simple to-utilize sentence structure, settling on it a famous best option programming language for amateurs. Python can assist you with beginning in all things, regardless of whether it is changing your thought into a model, making a game, or getting into Machine Learning and Artificial Intelligence.

Why learn Python Programming in 2022

Python is the most pursued programming ability by selection representatives in 2021. The people who are keen on taking an instructional class and are exceptionally new to Python can learn Python programming in 2022 to make themselves talented. Python is an exceptionally simple programming language. Anyone with practically zero programming language likewise can turn into a specialist python software engineer in the event that he/she goes through appropriate preparation.

  •  Python has an exceptionally basic language structure which is straightforward
  •  A huge number of open positions for python engineers.
  •  Python is the most favored language for Artificial Intelligence, Robotics, Web Development, and DevOps.
  •  Python is one of the most head, adaptable, and strong open-source dialects that is not difficult to learn.
  •  Python is not difficult to utilize and has strong libraries for information control and examination.
  •  For over 10 years, Python has been utilized in logical figuring and exceptionally quantitative areas like money, oil and gas, physical science, and sign handling starting today.

Benefits of learning python programming

It is a language that is amazingly simple to learn, and it tends to be utilized as a venturing stone into other programming dialects and structures. Assuming you’re an outright novice and this is your first time working with a coding language, that is something you certainly care about

Python is broadly utilized, including by various huge organizations like Google, Pinterest, Instagram, Disney, Yahoo!, Nokia, IBM, and numerous others. The Raspberry Pi – which is smaller than the usual PC and DIY sweetheart’s fantasy – depends on Python as its principal programming language as well. You’re most likely asking why both of these things matter, and that is on the grounds that once you learn Python, you’ll never have a deficiency of ways of using the expertise. Also, since a lot of huge organizations depend on the language, you can take in substantial income as a Python engineer.

A few highlighted features:

  • Python can be utilized to foster models, and rapidly on the grounds that it is so natural to work with and read.
  • Most mechanization, information mining, and huge information stages depend on Python. This is on the grounds that it is the best language to work with for universally useful assignments.
  • Python takes into account a more useful coding climate than huge dialects like C# and Java. Experienced coders will more often than not stay more coordinated and useful when working with Python, too.
  • Python powers Django, a total and open source web application structure. Structures – like Ruby on Rails – can be utilized to improve on the advancement cycle.

Frequently Ask Questions :

 What is the career after a Python Course?

There are a huge number of employment opportunities for python designers. Python is a generally involved programming language for web improvement. This reality will make increasingly more open positions for python abilities. One should not have any uncertainty about the lack of python occupations in Bangalore. Because of developing interest in sites, web applications and man-made reasoning python has obtained the market for its endurance. In the event that you check out the well-known work market and a quest for python engineer occupations you will understand the significance of this language

 For what reason is Python so well known?

 What is the compensation assumption in the wake of finishing a Python course?

Job Responsibility in python programming

Python Developer Responsibilities:

  • ● Composing effective, reusable, testable, and versatile code
  • ● Understanding, breaking down, and executing – Business needs, include change demands, transformation into programming parts
  • ● A mix of client situated components into various applications, information stockpiling arrangements
  • ● Creating – Backend parts to improve execution and responsiveness, server-side rationale, and stage, measurable learning models, exceptionally responsive web applications
  • ● Planning and carrying out – High accessibility and low inertness applications, information assurance, and security highlights
  • ● Execution tuning and mechanization of utilization
  • ● Testing and troubleshooting programming applications with Python test system devices like Behave, Pytest, PyUnit, and so on
  • ● Improving the functionalities of current programming frameworks
  • ● Concocting computerized devices for online traffic checking
  • ● Working with Python libraries like Pandas, NumPy, and so on
  • ● Making prescient models for AI and ML-based elements
  • ● Staying up to date with the most recent innovation and patterns
  • ● Calibrate and foster AI/ML-put together calculations based with respect to results

Prerequisite to learn python programming

Computer basic is great, to begin with, and most significant is you want to have a great interest in learning python.

There are no such requirements to learn Python except for having essential information on any programming language ideas like what is a circle, imagining a scenario where and else does, how administrators are utilized, and so forth will be useful. On the off chance that you have solid control over the essentials of any programming language, you can learn Python rapidly.

1. Overview

  • Why do we need Python?
  • Program structure

2. Environment Setup

  • Python Installation
  • Execution Types
  • What is an interpreter?
  • Interpreters vs Compilers
  • Using the Python Interpreter
  • Interactive Mode
  • Running python files
  • Working with Python shell
  • Integrated Development Environments (IDES)
  • Interactive Mode Programming
  • Script Mode Programming

3. Basic Concepts

  • Basic Operators
  • Types of Operator
  • Python Arithmetic Operators
  • Python Comparison Operators
  • Python Assignment Operators
  • Python Bitwise Operators
  • Python Logical Operators
  • Python Membership Operators (in, not in)
  • Python Identity Operators (is, is not)
  • Python Operators Precedence

4. Basic Concepts

  • Data Types
  • Variables
  • Assigning Values to Variables
  • Multiple Assignment
  • Python Numbers
  • Python Strings
  • Accessing Values in Strings
  • String Special Operators
  • String Formatting Operator
  • Triple Quotes
  • Built-in String Operations
  • Python Lists
  • Accessing Values in Lists
  • Updating Lists
  • Delete List Elements
  • Basic List Operations
  • Indexing, Slicing, and Matrixes
  • Built-in List Functions & Methods
  • Python Tuples
  • Accessing Values in Tuples
  • Updating Tuples
  • Delete Tuple Elements
  • Basic Tuples Operations
  • Indexing, Slicing, and Matrixes
  • No Enclosing Delimiters
  • Built-in Tuple Functions
  • Python Dictionary
  • Accessing Values in Dictionary
  • Updating Dictionary
  • Delete Dictionary Elements
  • Properties of Dictionary Keys
  • Built-in Dictionary Functions & Methods

5. Basic Operators in Python

  • Types of Operator
  • Python Arithmetic Operators
  • Python Comparison Operators
  • Python Assignment Operators
  • Python Bitwise Operators
  • Python Logical Operators
  • Python Membership Operators (in, not in)
  • Python Identity Operators (is, is not)
  • Python Operators Precedence

6. Loops and Decision Making

  • if statements
  • ..else statements
  • nested if statements
  • while loop
  • for loop
  • nested loops
  • Loop Control Statements
  • continue statement
  • pass statement
  • Functions
  • Defining a Function
  • Syntax
  • Calling a Function
  • Pass by reference vs value
  • Function Arguments
  • Required arguments
  • Keyword arguments
  • Default arguments
  • Variable-length arguments
  • The return Statement
  • Scope of Variables
  • Global vs. Local variables

7. Python Modules and Packages

  • Framework vs Packages
  • Folium Introduction
  • Why are modules used?
  • Creating modules
  • The import Statement
  • The from…import Statement
  • The from…import * Statement
  • Locating Modules

8. Basic OOPs Concept

  • Creating class in Python
  • Documented String
  • Private Identifier
  • Constructor
  • Inheritance
  • Polymorphism
  • The PYTHONPATH Variable
  • Namespaces and Scoping
  • The dir( ) Function
  • The globals() and locals() Functions
  • The reload() Function
  • Packages in Python

9. Anonymous Function

  • Lambda
  • Map
  • Filter
  • Reduce

10. File Manipulation

  • Opening Text File
  • Working with a File on Python
  • The open function
  • File modes
  • The file object attributes
  • close() method
  • write() method
  • read() method
  • Files: Input
  • Files: Output
  • Reading files
  • Renaming & deleting files
  • Writing into a file
  • remove() method

11. Python GUI

  • Basic Operations using Tkinter
  • Buttons and Textbox
  • Menu Bar
  • Message Box and Radio Button
  • Checkbox and Event Creating
  • Creating Application in GUI

13. SQL and Python

  • Overview of SQLite
  • Integrating Python with SQLite

14. NoSQL and Python

  • Overview of NoSQL
  • Integrating Python with NoSQL

15. Other Concepts

  • Errors and Exception Handling
  • Standard exceptions
  • Assertions in Python
  • The assert Statement
  • What is an Exception?
  • Handling an exception
  • Syntax
  • The except Clause with No Exceptions
  • The except Clause with Multiple Exceptions
  • The try-finally Clause
  • The argument of an Exception
  • Example with Tkinter Application
  • Regular Expression
  • Powerful Utilities
  • Multithreading
  • List Comprehensive
  • Shallow and Deep Copy
  • Unit testing

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