{"id":5383,"date":"2023-08-31T09:31:09","date_gmt":"2023-08-31T09:31:09","guid":{"rendered":"https:\/\/trinethra.net\/?page_id=5383"},"modified":"2023-08-31T10:15:21","modified_gmt":"2023-08-31T10:15:21","slug":"python","status":"publish","type":"page","link":"https:\/\/trinethra.net\/index.php\/python\/","title":{"rendered":"PYTHON"},"content":{"rendered":"\t\t
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PYTHON<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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TABLE OF CONTENT<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Introduction to Python<\/p><\/td><\/tr>

About This Course<\/p><\/td><\/tr>

Why Python<\/p><\/td><\/tr>

Python Source Code<\/p><\/td><\/tr>

Python is Popular<\/p><\/td><\/tr>

Python is Interpreted<\/p><\/td><\/tr>

Python is Portable<\/p><\/td><\/tr>

Features of Python<\/p><\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Course Syllabus<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Module 1<\/strong>:\u00a0 Introduction — Relationship between computers and programs — Basic principles of computers — File systems — Using the Python interpreter — Introduction to binary computation — Input \/ Output<\/p>

Module 2<\/strong>: Data types and control structures — Operators (unary, arithmetic, etc.) — Data types, variables, expressions, and statements — Assignment statements — Strings and string operations — Control Structures: loops and decision<\/p>

Module 3<\/strong>: Modularization and Classes — Standard modules — Packages — Defining Classes — Defining functions — Functions and arguments (signature)<\/p>

Module 4<\/strong>: Exceptions and data structures — Data Structures (array, List, Dictionary) — Error processing — Exception Raising and Handling<\/p>

Module 5<\/strong>: Object oriented design — Programming types — Object Oriented Programming — Object Oriented Design — Inheritance and Polymorphism<\/p>

CONCLUSION<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Introduction to python<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Python is a dynamic, interpreted (byte code-compiled) language. There are no type declarations of variables, parameters, functions, or methods in source code. This makes the code short and flexible, and you lose the compile-time type checking of the source code. Python tracks the types of all values at runtime and flags code that does not make sense as it runs.\u00a0 An excellent way to see how Python code works is to run the Python interpreter and type code right into it.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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About This Course<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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If you\u2019re looking for a programming language that\u2019s flexible and easy to read, try learning python. It\u2019s one of the most popular languages today, and programming in python is used for everything from web and software development to data science and analytics to quality assurance.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Why Python<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Python designed with features to facilitate data analysis and visualization. Python\u2019s simple syntax makes it easy to learn which reduces the cost of program maintenance.<\/p>

Python has a healthy community of enthusiasts that strive every day to make the language better by fixing bugs and opening new possibilities. It also enjoys strong support from the world\u2019s largest corporations. One of them is Google. They are actively working on create more\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/p>

At a close, Python undeniably will be necessary expertise. And the need for skilled technicians is likely to increase, making it a good long-term bet for a career. Become a Python Developer, Research Analyst, Data Analyst, and Data Scientist with our Python Live Sessions. Get deep insights into the functioning of various methods of teaching and get our live experts supports.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Python source code<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Python source files use the “.py” extension and are called “modules.” With a Python module\u00a0hello.py, the easiest way to run it is with the shell command “python hello.py Alice” which calls the Python interpreter to execute the code in\u00a0hello.py, passing it the command line argument “Alice”.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Python is Popular<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Python has been growing in popularity over the last few years. The 2018\u00a0Stack Overflow Developer Survey<\/a>\u00a0ranked Python as the 7th most popular and the number one most wanted technology of the year.\u00a0World-class software development companies around the globe use Python every single day.<\/a><\/p>

According to\u00a0research by Dice<\/a>\u00a0Python is also one of the hottest skills to have and the most popular programming language in the world based on the\u00a0Popularity of Programming Language Index<\/a>.<\/p>

Due to the popularity and widespread use of Python as a programming language, Python developers are sought after and paid well. If you\u2019d like to dig deeper into\u00a0Python salary statistics and job opportunities, you can do so here<\/a>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Python is Interpreted<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Many languages are compiled, meaning the source code you create needs to be translated into machine code, the language of your computer\u2019s processor, before it can be run. Programs written in an interpreted language are passed straight to an interpreter that runs them directly.<\/p>

This makes for a quicker development cycle because you just type in your code and run it, without the intermediate compilation step.<\/p>

One potential downside to interpreted languages is execution speed. Programs that are compiled into the native language of the computer processor tend to run more quickly than interpreted programs. For some applications that are particularly computationally intensive, like graphics processing or intense number crunching, this can be limiting.<\/p>

In practice, however, for most programs, the difference in execution speed is measured in milliseconds, or seconds at most, and not appreciably noticeable to a human user. The expediency of coding in an interpreted language is typically worth it for most applications.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Python is Portable<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Because Python code is interpreted and not compiled into native machine instructions, code written for one platform will work on any other platform that has the Python interpreter installed. (This is true of any interpreted language, not just Python.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Features in Python<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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1. Free and Open Source<\/p>

2. Easy to code<\/p>

3. Easy to Read<\/p>

4. Object-Oriented Language<\/p>

5. GUI Programming Support<\/p>

6. High-Level Language<\/p>

7. Large Community Support<\/p>

8. Easy to Debug<\/p>

9. Python is a Portable language<\/p>

10. Python is an Integrated language<\/p>

11. Interpreted Language<\/p>

12. Large Standard Library<\/p>

13. Dynamically Typed Language<\/p>

14. Frontend and backend development<\/p>

15. Allocating Memory Dynamically<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Course Syllabus<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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  1. Hello world program<\/li>
  2. Numbers and Math operations<\/li>
  3. Common Errors in Python<\/li>
  4. Variables and Names<\/li>
  5. String Basics<\/li>
  6. Conditional Statements<\/li>
  7. Functions<\/li>
  8. For and while Loop<\/li>
  9. Functions as Arguments<\/li>
  10. List<\/li>
  11. Tuple<\/li>
  12. Dictionaries<\/li>
  13. List Comprehension<\/li>
  14. File Handling<\/li>
  15. Debuggingin python<\/li>
  16. Class and objects<\/li>
  17. Lambda, Filters and Maps<\/li>
  18. Python PIP<\/li>
  19. Read Excel Data in Python<\/li>
  20. Python MySQL<\/li>
  21. Iterator<\/li>
  22. Pickling<\/li>
  23. Python JSON<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Conclusion<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    This section gave an overview of the\u00a0Python<\/strong>\u00a0programming language, including:<\/p>

    • A brief history of the development of Python<\/li>
    • Some reasons why you might select Python as your language of choice<\/li><\/ul>

      Python is a great option, whether you are a beginning programmer looking to learn the basics, an experienced programmer designing a large application, or anywhere in between. The basics of Python are easily grasped, and yet its capabilities are vast.<\/p>

      Proceed to the next section to learn how to acquire and install Python on your computer.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

      PYTHON TABLE OF CONTENT Introduction to Python About This Course Why Python Python Source Code Python is Popular Python is Interpreted Python is Portable Features of Python Course Syllabus Module 1:\u00a0 Introduction — Relationship between computers and programs — Basic principles of computers — File systems — Using the Python interpreter — Introduction to binary computation — Input \/ Output Module 2: Data types and control structures — Operators (unary, arithmetic, etc.) — Data types, variables, expressions, and statements — Assignment statements — Strings and string operations — Control Structures: loops and decision Module 3: Modularization and Classes — Standard modules — Packages — Defining Classes — Defining functions — Functions and arguments (signature) Module 4: Exceptions and data structures — Data Structures (array, List, Dictionary) — Error processing — Exception Raising and Handling Module 5: Object oriented design — Programming types — Object Oriented Programming — Object Oriented Design — Inheritance and Polymorphism CONCLUSION Introduction to python Python is a dynamic, interpreted (byte code-compiled) language. There are no type declarations of variables, parameters, functions, or methods in source code. This makes the code short and flexible, and you lose the compile-time type checking of the source code. Python tracks the types of all values at runtime and flags code that does not make sense as it runs.\u00a0 An excellent way to see how Python code works is to run the Python interpreter and type code right into it. About This Course If you\u2019re looking for a programming language that\u2019s flexible and easy to read, try learning python. It\u2019s one of the most popular languages today, and programming in python is used for everything from web and software development to data science and analytics to quality assurance. Why Python Python designed with features to facilitate data analysis and visualization. Python\u2019s simple syntax makes it easy to learn which reduces the cost of program maintenance. Python has a healthy community of enthusiasts that strive every day to make the language better by fixing bugs and opening new possibilities. It also enjoys strong support from the world\u2019s largest corporations. One of them is Google. They are actively working on create more\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 At a close, Python undeniably will be necessary expertise. And the need for skilled technicians is likely to increase, making it a good long-term bet for a career. Become a Python Developer, Research Analyst, Data Analyst, and Data Scientist with our Python Live Sessions. Get deep insights into the functioning of various methods of teaching and get our live experts supports. Python source code Python source files use the “.py” extension and are called “modules.” With a Python module\u00a0hello.py, the easiest way to run it is with the shell command “python hello.py Alice” which calls the Python interpreter to execute the code in\u00a0hello.py, passing it the command line argument “Alice”. Python is Popular Python has been growing in popularity over the last few years. The 2018\u00a0Stack Overflow Developer Survey\u00a0ranked Python as the 7th most popular and the number one most wanted technology of the year.\u00a0World-class software development companies around the globe use Python every single day. According to\u00a0research by Dice\u00a0Python is also one of the hottest skills to have and the most popular programming language in the world based on the\u00a0Popularity of Programming Language Index. Due to the popularity and widespread use of Python as a programming language, Python developers are sought after and paid well. If you\u2019d like to dig deeper into\u00a0Python salary statistics and job opportunities, you can do so here. Python is Interpreted Many languages are compiled, meaning the source code you create needs to be translated into machine code, the language of your computer\u2019s processor, before it can be run. Programs written in an interpreted language are passed straight to an interpreter that runs them directly. This makes for a quicker development cycle because you just type in your code and run it, without the intermediate compilation step. One potential downside to interpreted languages is execution speed. Programs that are compiled into the native language of the computer processor tend to run more quickly than interpreted programs. For some applications that are particularly computationally intensive, like graphics processing or intense number crunching, this can be limiting. In practice, however, for most programs, the difference in execution speed is measured in milliseconds, or seconds at most, and not appreciably noticeable to a human user. The expediency of coding in an interpreted language is typically worth it for most applications. Python is Portable Because Python code is interpreted and not compiled into native machine instructions, code written for one platform will work on any other platform that has the Python interpreter installed. (This is true of any interpreted language, not just Python. Features in Python 1. Free and Open Source 2. Easy to code 3. Easy to Read 4. Object-Oriented Language 5. GUI Programming Support 6. High-Level Language 7. Large Community Support 8. Easy to Debug 9. Python is a Portable language 10. Python is an Integrated language 11. Interpreted Language 12. Large Standard Library 13. Dynamically Typed Language 14. Frontend and backend development 15. Allocating Memory Dynamically Course Syllabus Hello world program Numbers and Math operations Common Errors in Python Variables and Names String Basics Conditional Statements Functions For and while Loop Functions as Arguments List Tuple Dictionaries List Comprehension File Handling Debuggingin python Class and objects Lambda, Filters and Maps Python PIP Read Excel Data in Python Python MySQL Iterator Pickling Python JSON Conclusion This section gave an overview of the\u00a0Python\u00a0programming language, including: A brief history of the development of Python Some reasons why you might select Python as your language of choice Python is a great option, whether you are a beginning programmer looking to learn the basics, an experienced programmer designing a large application, or anywhere in between. The basics of Python are easily grasped, and yet its capabilities are vast. Proceed to the next section to learn how to acquire and install Python on your computer.<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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