This document provides an introduction to the Python programming language. It discusses that Python was created in the late 1980s and features an easy to read syntax, is open source, cross-platform, interpreted, and object-oriented. It also covers installing Python, working in the IDLE integrated development environment and Jupyter notebooks, the differences between interactive and script modes, Python syntax including keywords, statements, indents, comments, variables, and input/output. The document aims to give readers an overview of the essential aspects of Python.
Here are the answers to your questions:
1. Python was created by Guido Van Rossum.
2. Yes, Python is an object-oriented programming language.
3. As a high level interpreted language, Python code is compiled into bytecode that is then interpreted by the Python runtime system. This makes Python code easier for humans to read and write.
4. Cross-platform means Python code can run on multiple operating systems like Windows, Linux, MacOS without any changes.
5. As a free and open source language, anyone can use, modify and distribute Python without paying any license fees. The source code is openly available.
6. In interactive mode, Python code is executed line by
This document provides an overview of Python basics training. It covers installing Python, running Python code through various methods like the command line, IDLE, and Jupyter notebooks. It also discusses Python syntax, variables, data types, operators, conditional statements, and loops. Key Python data types include integers, floats, strings, lists, and dictionaries. The document is intended as an introduction to Python for beginners.
This document provides an introduction and overview of the Python programming language. It discusses that Python was created by Guido Van Rossum in 1991 and named after Monty Python. Python can be used for both procedural and object-oriented programming approaches. It is an interpreted language that is free to use, easy to learn, and has a simple syntax. Python is popular for web development, data analysis, science/engineering, and more. The document then covers Python syntax and provides examples of using variables, data types, and the interactive mode versus script mode of writing Python code.
SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL
This document provides an introduction to the Python programming language. It discusses what Python is, why it was created, its basic features and uses. Python is an interpreted, object-oriented programming language that is designed to be readable. It can be used for tasks such as web development, scientific computing, and scripting. The document also covers Python basics like variables, data types, operators, and input/output functions. It provides examples of Python code and discusses best practices for writing and running Python programs.
UNIT-1 : 20ACS04 – PROBLEM SOLVING AND PROGRAMMING USING PYTHON Nandakumar P
Unit 1 : INTRODUCTION TO PROBLEM SOLVING, EXPRESSION AND DATA TYPES
Fundamentals: what is computer science - Computer Algorithms - Computer Hardware - Computer software - Computational problem solving using the Python programming language - Overview of Python, Environmental Setup, First program in Python, Python I/O Statement. Expressions and Data Types: Literals, Identifiers and Variables, Operators, Expressions. Data types, Numbers, Type Conversion, Random Number.
Problem solving: Restaurant Tab calculation and Age in seconds.
The document provides information about a course on Object Oriented Programming concepts in Python. It outlines 6 course outcomes related to illustrating Python basics, developing scripts using control statements and data types, constructing object oriented programs using functions, and applying concepts like inheritance, polymorphism, and exception handling. It also mentions the syllabus, books and references, and provides introductory information about Python including its history, uses, installation process, interpreted nature, and basic programming concepts.
If you're referring to acquisitions made by companies prior to the implementation of the Goods and Services Tax (GST), here are some acquisitions that occurred before GST was introduced:
Facebook (Meta Platforms, Inc.):
Instagram (Acquired in 2012)
WhatsApp (Acquired in 2014)
Oculus VR (Acquired in 2014)
Alphabet Inc. (Google):
YouTube (Acquired in 2006)
DoubleClick (Acquired in 2008)
Nest Labs (Acquired in 2014)
Amazon:
Zappos (Acquired in 2009)
Twitch (Acquired in 2014)
Microsoft Corporation:
LinkedIn (Acquired in 2016)
Skype (Acquired in 2011)
Apple Inc.:
Beats Electronics (Acquired in 2014)
Shazam (Acquisition announced in 2017, completed in 2018)
Oracle Corporation:
Sun Microsystems (Acquired in 2010)
Siebel Systems (Acquired in 2006)
IBM (International Business Machines Corporation):
Cognos (Acquired in 2007)
SPSS (Acquired in 2009)
Salesforce:
Tableau Software (Acquired in 2019)
MuleSoft (Acquired in 2018)
Cisco Systems:
WebEx (Acquired in 2007)
Meraki (Acquired in 2012)
Intel Corporation:
McAfee (Acquired in 2011)
Altera Corporation (Acquired in 2015)
These are just a few examples of acquisitions made by companies prior to the implementation of GST. These acquisitions have played significant roles in shaping the strategies and offerings of these tech giants.
If you're referring to acquisitions made by companies prior to the implementation of the Goods and Services Tax (GST), here are some acquisitions that occurred before GST was introduced:
Facebook (Meta Platforms, Inc.):
Instagram (Acquired in 2012)
WhatsApp (Acquired in 2014)
Oculus VR (Acquired in 2014)
Alphabet Inc. (Google):
YouTube (Acquired in 2006)
DoubleClick (Acquired in 2008)
Nest Labs (Acquired in 2014)
Amazon:
Zappos (Acquired in 2009)
Twitch (Acquired in 2014)
Microsoft Corporation:
LinkedIn (Acquired in 2016)
Skype (Acquired in 2011)
Apple Inc.:
Beats Electronics (Acquired in 2014)
Shazam (Acquisition announced in 2017, completed in 2018)
Oracle Corporation:
Sun Microsystems (Acquired in 2010)
Siebel Systems (Acquired in 2006)
IBM (International Business Machines Corporation):
Cognos (Acquired in 2007)
SPSS (Acquired in 2009)
Salesforce:
Tableau Software (Acquired in 2019)
MuleSoft (Acquired in 2018)
Cisco Systems:
WebEx (Acquired in 2007)
Meraki (Acquired in 2012)
Intel Corporation:
McAfee (Acquired in 2011)
Altera Corporation (Acquired in 2015)
These are just a few examples of acquisitions made by companies prior to the implementation of GST. These acquisitions have played significant roles in shaping the strategies and offerings of these tech giants.
If you're referring to acquisitions made by companies prior to the implementation of the Goods and Services Tax (GST), here are some acquisitions that occurred before GST was introduced:
Facebook (Meta Platforms, Inc.):
Instagram (Acquired in 2012)
WhatsApp (Acquired in 2014)
Oculus VR (Acquired in 2014)
Alphabet Inc. (Google):
YouTube (Acquired in 2006)
DoubleClick (Acquired in 2008)
Nest Labs (Acquired in 2014
Here are the answers to your questions:
1. Python was created by Guido Van Rossum.
2. Yes, Python is an object-oriented programming language.
3. As a high level interpreted language, Python code is compiled into bytecode that is then interpreted by the Python runtime system. This makes Python code easier for humans to read and write.
4. Cross-platform means Python code can run on multiple operating systems like Windows, Linux, MacOS without any changes.
5. As a free and open source language, anyone can use, modify and distribute Python without paying any license fees. The source code is openly available.
6. In interactive mode, Python code is executed line by
This document provides an overview of Python basics training. It covers installing Python, running Python code through various methods like the command line, IDLE, and Jupyter notebooks. It also discusses Python syntax, variables, data types, operators, conditional statements, and loops. Key Python data types include integers, floats, strings, lists, and dictionaries. The document is intended as an introduction to Python for beginners.
This document provides an introduction and overview of the Python programming language. It discusses that Python was created by Guido Van Rossum in 1991 and named after Monty Python. Python can be used for both procedural and object-oriented programming approaches. It is an interpreted language that is free to use, easy to learn, and has a simple syntax. Python is popular for web development, data analysis, science/engineering, and more. The document then covers Python syntax and provides examples of using variables, data types, and the interactive mode versus script mode of writing Python code.
SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL
This document provides an introduction to the Python programming language. It discusses what Python is, why it was created, its basic features and uses. Python is an interpreted, object-oriented programming language that is designed to be readable. It can be used for tasks such as web development, scientific computing, and scripting. The document also covers Python basics like variables, data types, operators, and input/output functions. It provides examples of Python code and discusses best practices for writing and running Python programs.
UNIT-1 : 20ACS04 – PROBLEM SOLVING AND PROGRAMMING USING PYTHON Nandakumar P
Unit 1 : INTRODUCTION TO PROBLEM SOLVING, EXPRESSION AND DATA TYPES
Fundamentals: what is computer science - Computer Algorithms - Computer Hardware - Computer software - Computational problem solving using the Python programming language - Overview of Python, Environmental Setup, First program in Python, Python I/O Statement. Expressions and Data Types: Literals, Identifiers and Variables, Operators, Expressions. Data types, Numbers, Type Conversion, Random Number.
Problem solving: Restaurant Tab calculation and Age in seconds.
The document provides information about a course on Object Oriented Programming concepts in Python. It outlines 6 course outcomes related to illustrating Python basics, developing scripts using control statements and data types, constructing object oriented programs using functions, and applying concepts like inheritance, polymorphism, and exception handling. It also mentions the syllabus, books and references, and provides introductory information about Python including its history, uses, installation process, interpreted nature, and basic programming concepts.
If you're referring to acquisitions made by companies prior to the implementation of the Goods and Services Tax (GST), here are some acquisitions that occurred before GST was introduced:
Facebook (Meta Platforms, Inc.):
Instagram (Acquired in 2012)
WhatsApp (Acquired in 2014)
Oculus VR (Acquired in 2014)
Alphabet Inc. (Google):
YouTube (Acquired in 2006)
DoubleClick (Acquired in 2008)
Nest Labs (Acquired in 2014)
Amazon:
Zappos (Acquired in 2009)
Twitch (Acquired in 2014)
Microsoft Corporation:
LinkedIn (Acquired in 2016)
Skype (Acquired in 2011)
Apple Inc.:
Beats Electronics (Acquired in 2014)
Shazam (Acquisition announced in 2017, completed in 2018)
Oracle Corporation:
Sun Microsystems (Acquired in 2010)
Siebel Systems (Acquired in 2006)
IBM (International Business Machines Corporation):
Cognos (Acquired in 2007)
SPSS (Acquired in 2009)
Salesforce:
Tableau Software (Acquired in 2019)
MuleSoft (Acquired in 2018)
Cisco Systems:
WebEx (Acquired in 2007)
Meraki (Acquired in 2012)
Intel Corporation:
McAfee (Acquired in 2011)
Altera Corporation (Acquired in 2015)
These are just a few examples of acquisitions made by companies prior to the implementation of GST. These acquisitions have played significant roles in shaping the strategies and offerings of these tech giants.
If you're referring to acquisitions made by companies prior to the implementation of the Goods and Services Tax (GST), here are some acquisitions that occurred before GST was introduced:
Facebook (Meta Platforms, Inc.):
Instagram (Acquired in 2012)
WhatsApp (Acquired in 2014)
Oculus VR (Acquired in 2014)
Alphabet Inc. (Google):
YouTube (Acquired in 2006)
DoubleClick (Acquired in 2008)
Nest Labs (Acquired in 2014)
Amazon:
Zappos (Acquired in 2009)
Twitch (Acquired in 2014)
Microsoft Corporation:
LinkedIn (Acquired in 2016)
Skype (Acquired in 2011)
Apple Inc.:
Beats Electronics (Acquired in 2014)
Shazam (Acquisition announced in 2017, completed in 2018)
Oracle Corporation:
Sun Microsystems (Acquired in 2010)
Siebel Systems (Acquired in 2006)
IBM (International Business Machines Corporation):
Cognos (Acquired in 2007)
SPSS (Acquired in 2009)
Salesforce:
Tableau Software (Acquired in 2019)
MuleSoft (Acquired in 2018)
Cisco Systems:
WebEx (Acquired in 2007)
Meraki (Acquired in 2012)
Intel Corporation:
McAfee (Acquired in 2011)
Altera Corporation (Acquired in 2015)
These are just a few examples of acquisitions made by companies prior to the implementation of GST. These acquisitions have played significant roles in shaping the strategies and offerings of these tech giants.
If you're referring to acquisitions made by companies prior to the implementation of the Goods and Services Tax (GST), here are some acquisitions that occurred before GST was introduced:
Facebook (Meta Platforms, Inc.):
Instagram (Acquired in 2012)
WhatsApp (Acquired in 2014)
Oculus VR (Acquired in 2014)
Alphabet Inc. (Google):
YouTube (Acquired in 2006)
DoubleClick (Acquired in 2008)
Nest Labs (Acquired in 2014
Python is one of the powerful, high-level, easy to learn programming language that
provides a huge number of applications. Some of its features, such as being object-oriented
and open source, having numerous IDE’s, etc. make it one of the most in-demand
programming languages of the present IT industry.
According to TIOBE index, as of January 2020, Python is one of the popular programming
languages. By looking at the popularity of this programming language, many IT
professionals, both beginners as well as experienced alike, are willing to build their career
as a Python developer
Python was created in the late 1980s by Guido van Rossum. It draws influence from many other languages like ABC, Modula-3, C, C++, Algol68, SmallTalk, and Unix shell scripting languages. Python is an interpreted, interactive, object-oriented scripting language that is highly readable and easy to maintain. It has a large standard library and supports features like being interactive, object-oriented programming, databases, GUI programming, and is portable across platforms.
This document provides an introduction to the Python programming language. It defines Python as a high-level, general-purpose and interpreted programming language. It then discusses that Python is easy to learn, can be used for a wide range of applications, and code is interpreted line by line at runtime. The document also covers why Python is a useful language due to its productivity, popularity within industries, ease of learning, large ecosystem of libraries, and ability to run on multiple platforms. It concludes by explaining basic Python concepts like variables, strings, numbers and data types.
Interpreter v/s Compiler summarizes the key differences between interpreters and compilers. Interpreters translate programs one statement at a time with no object code generated, making them more memory efficient. Compilers scan entire programs and translate them into machine code at once, generating object code and requiring more memory but providing faster overall execution time. Popular languages like JavaScript, Python, and Ruby use interpreters while C, C++, and Java use compilers.
The document compares interpreters and compilers. It states that interpreters translate code line-by-line while compilers scan the entire program at once. Interpreters have faster analysis time but slower overall execution, while compilers have slower analysis but faster execution. Interpreters do not generate object code so are more memory efficient. Languages like JavaScript, Python and Ruby use interpreters, while C, C++ and Java use compilers.
Python Book/Notes For Python Book/Notes For S.Y.B.Sc. I.T.Niraj Bharambe
This document provides an introduction to the Python programming language. It discusses that Python is a high-level language that is easier for humans to write and understand compared to low-level languages. It can be compiled into byte code or interpreted. The document then discusses the history and origins of Python, its key features like being easy to learn and maintain, and how to install Python on different operating systems. It also covers running Python programs, debugging techniques, and setting the Python environment path and variables.
The document provides an introduction to the Python programming language. It discusses the history and overview of Python, including that it is an interpreted, interactive, and object-oriented scripting language. It then covers Python features such as being easy to learn and read, having a broad standard library, and being portable. The document also demonstrates basic Python concepts like data types, variables, conditional statements, and functions.
Python was created in the late 1980s by Guido van Rossum. The first version was released in 1991. It is derived from the ABC language. Python is an interpreted, object-oriented scripting language that is portable, easy to read and maintain. It has a large standard library and supports GUI, web and database applications. Major versions include Python 2.7 and Python 3.0 which introduced changes like print becoming a function. Python is widely used in areas like web development, science, education and software development.
The document provides an overview of the Python programming language. It outlines the presentation which includes topics like Python overview, data types, control structures, input/output, functions, file handling, exceptions, modules, classes, examples comparing Python and Java, and useful tools. It then delves into more details on each of these topics, providing information on Python's history, versions, features, syntax, variables, statements, indentation and data types. It also discusses who uses Python and for what purposes.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the 1990s by Guido van Rossum to address the need for a higher level language in the Amoeba operating system project. Python is widely used today for web development, science, system administration, and more due to its readability, object orientation, powerful libraries, and portability across operating systems. To use Python, one installs an IDE like Python 2.7 and then writes and runs code either in the Python command line or IDE.
Python is a widely used programming language that offers several unique features and advantages compared to languages like Java and C++. Our Python tutorial thoroughly explains Python basics and advanced concepts, starting with installation, conditional statements, loops, built-in data structures, Object-Oriented Programming, Generators, Exception Handling, Python RegEx, and many other concepts. This tutorial is designed for beginners and working professionals.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the 1990s by Guido van Rossum who named it after the Monty Python comedy troupe. People use Python for a variety of tasks due to its readability, object-oriented capabilities, extensive libraries, and ability to integrate with other languages. To run Python code, it must first be compiled into bytecode which is then interpreted by the Python virtual machine.
Python is an interpreted, object-oriented programming language created by Guido van Rossum in 1991. It can be used for a variety of tasks like web development, data analysis, scientific computing, and more. Some key reasons for its popularity include being free and open source, having a large standard library, being portable, supporting both object-oriented and procedural programming, and having an easy-to-read syntax.
Python Programming | JNTUK | UNIT 1 | Lecture 3FabMinds
The document discusses the syllabus for a Python programming unit. It covers topics like conceptual introductions to computer science and algorithms, modern computer systems, installing Python, basic syntax, interactive shells, editing, saving and running scripts, data types, variables, numerical types, arithmetic operators, and understanding error messages. It also provides a brief history of Python releases from 1991 to 2008 and highlights that Python is free, portable, simple to learn, has extensive libraries, is extensible and embeddable, and supports object-oriented programming.
Vision Academy is a well known Computer Training Institute in Hadapsar Pune from 2005.This institute was started by its visionary director Mr Sachin Zurange. Mr Sachin Zurange was completed MSc(Scientific Computing) From Interdisciplinary School Of Scientific Computing, University of Pune. It also clear SET exam in May 2018. We provides BCS, BCA, BBA(Comp.App), MCS, MCA, Dip(Comp), BE(Comp/IT) Coaching Classes in Hadapsar Pune. We mainly impart training in programming languages C,C++, Java, Advanced Java, Php, Phyton, .NET,HTML, Java Script, jQuery, Angular Js. Database Languages such as Oracle, Postgres, Mysql, SQL Server & focus on key subjects like Data Structure, Operating System,Rdbms. We provides career oriented programs in Web Design, WordPress, Digital Marketing courses. More then 10,000 students was trained from Vision Academy. We provide 100% practical oriented training program with 100% job placement.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the late 1980s by Guido van Rossum to address the limitations of other languages at the time. Python code is first compiled to bytecode, which is then executed by the Python Virtual Machine. It is an easy to use, powerful, and portable language employed by many major companies for web development, system administration, science, and more.
WHY
WHERE
HOW
WHEN
WHO
FOR WHAT
Defining Data Science
• What Does a Data Science Professional Do?
• Data Science in Business
• Use Cases for Data Science
This document provides an overview of Python programming concepts across 5 units. Unit 1 introduces Python installation, data types, variables, expressions, statements and functions. It covers integers, floats, Booleans, strings, lists and the basics of writing Python code. Unit 2 discusses control flow statements like conditionals and loops. Unit 3 covers functions, strings, arrays and lists in more detail. Unit 4 focuses on lists, tuples, dictionaries and their methods. Unit 5 discusses files, exceptions, modules and packages in Python.
Python is one of the powerful, high-level, easy to learn programming language that
provides a huge number of applications. Some of its features, such as being object-oriented
and open source, having numerous IDE’s, etc. make it one of the most in-demand
programming languages of the present IT industry.
According to TIOBE index, as of January 2020, Python is one of the popular programming
languages. By looking at the popularity of this programming language, many IT
professionals, both beginners as well as experienced alike, are willing to build their career
as a Python developer
Python was created in the late 1980s by Guido van Rossum. It draws influence from many other languages like ABC, Modula-3, C, C++, Algol68, SmallTalk, and Unix shell scripting languages. Python is an interpreted, interactive, object-oriented scripting language that is highly readable and easy to maintain. It has a large standard library and supports features like being interactive, object-oriented programming, databases, GUI programming, and is portable across platforms.
This document provides an introduction to the Python programming language. It defines Python as a high-level, general-purpose and interpreted programming language. It then discusses that Python is easy to learn, can be used for a wide range of applications, and code is interpreted line by line at runtime. The document also covers why Python is a useful language due to its productivity, popularity within industries, ease of learning, large ecosystem of libraries, and ability to run on multiple platforms. It concludes by explaining basic Python concepts like variables, strings, numbers and data types.
Interpreter v/s Compiler summarizes the key differences between interpreters and compilers. Interpreters translate programs one statement at a time with no object code generated, making them more memory efficient. Compilers scan entire programs and translate them into machine code at once, generating object code and requiring more memory but providing faster overall execution time. Popular languages like JavaScript, Python, and Ruby use interpreters while C, C++, and Java use compilers.
The document compares interpreters and compilers. It states that interpreters translate code line-by-line while compilers scan the entire program at once. Interpreters have faster analysis time but slower overall execution, while compilers have slower analysis but faster execution. Interpreters do not generate object code so are more memory efficient. Languages like JavaScript, Python and Ruby use interpreters, while C, C++ and Java use compilers.
Python Book/Notes For Python Book/Notes For S.Y.B.Sc. I.T.Niraj Bharambe
This document provides an introduction to the Python programming language. It discusses that Python is a high-level language that is easier for humans to write and understand compared to low-level languages. It can be compiled into byte code or interpreted. The document then discusses the history and origins of Python, its key features like being easy to learn and maintain, and how to install Python on different operating systems. It also covers running Python programs, debugging techniques, and setting the Python environment path and variables.
The document provides an introduction to the Python programming language. It discusses the history and overview of Python, including that it is an interpreted, interactive, and object-oriented scripting language. It then covers Python features such as being easy to learn and read, having a broad standard library, and being portable. The document also demonstrates basic Python concepts like data types, variables, conditional statements, and functions.
Python was created in the late 1980s by Guido van Rossum. The first version was released in 1991. It is derived from the ABC language. Python is an interpreted, object-oriented scripting language that is portable, easy to read and maintain. It has a large standard library and supports GUI, web and database applications. Major versions include Python 2.7 and Python 3.0 which introduced changes like print becoming a function. Python is widely used in areas like web development, science, education and software development.
The document provides an overview of the Python programming language. It outlines the presentation which includes topics like Python overview, data types, control structures, input/output, functions, file handling, exceptions, modules, classes, examples comparing Python and Java, and useful tools. It then delves into more details on each of these topics, providing information on Python's history, versions, features, syntax, variables, statements, indentation and data types. It also discusses who uses Python and for what purposes.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the 1990s by Guido van Rossum to address the need for a higher level language in the Amoeba operating system project. Python is widely used today for web development, science, system administration, and more due to its readability, object orientation, powerful libraries, and portability across operating systems. To use Python, one installs an IDE like Python 2.7 and then writes and runs code either in the Python command line or IDE.
Python is a widely used programming language that offers several unique features and advantages compared to languages like Java and C++. Our Python tutorial thoroughly explains Python basics and advanced concepts, starting with installation, conditional statements, loops, built-in data structures, Object-Oriented Programming, Generators, Exception Handling, Python RegEx, and many other concepts. This tutorial is designed for beginners and working professionals.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the 1990s by Guido van Rossum who named it after the Monty Python comedy troupe. People use Python for a variety of tasks due to its readability, object-oriented capabilities, extensive libraries, and ability to integrate with other languages. To run Python code, it must first be compiled into bytecode which is then interpreted by the Python virtual machine.
Python is an interpreted, object-oriented programming language created by Guido van Rossum in 1991. It can be used for a variety of tasks like web development, data analysis, scientific computing, and more. Some key reasons for its popularity include being free and open source, having a large standard library, being portable, supporting both object-oriented and procedural programming, and having an easy-to-read syntax.
Python Programming | JNTUK | UNIT 1 | Lecture 3FabMinds
The document discusses the syllabus for a Python programming unit. It covers topics like conceptual introductions to computer science and algorithms, modern computer systems, installing Python, basic syntax, interactive shells, editing, saving and running scripts, data types, variables, numerical types, arithmetic operators, and understanding error messages. It also provides a brief history of Python releases from 1991 to 2008 and highlights that Python is free, portable, simple to learn, has extensive libraries, is extensible and embeddable, and supports object-oriented programming.
Vision Academy is a well known Computer Training Institute in Hadapsar Pune from 2005.This institute was started by its visionary director Mr Sachin Zurange. Mr Sachin Zurange was completed MSc(Scientific Computing) From Interdisciplinary School Of Scientific Computing, University of Pune. It also clear SET exam in May 2018. We provides BCS, BCA, BBA(Comp.App), MCS, MCA, Dip(Comp), BE(Comp/IT) Coaching Classes in Hadapsar Pune. We mainly impart training in programming languages C,C++, Java, Advanced Java, Php, Phyton, .NET,HTML, Java Script, jQuery, Angular Js. Database Languages such as Oracle, Postgres, Mysql, SQL Server & focus on key subjects like Data Structure, Operating System,Rdbms. We provides career oriented programs in Web Design, WordPress, Digital Marketing courses. More then 10,000 students was trained from Vision Academy. We provide 100% practical oriented training program with 100% job placement.
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the late 1980s by Guido van Rossum to address the limitations of other languages at the time. Python code is first compiled to bytecode, which is then executed by the Python Virtual Machine. It is an easy to use, powerful, and portable language employed by many major companies for web development, system administration, science, and more.
WHY
WHERE
HOW
WHEN
WHO
FOR WHAT
Defining Data Science
• What Does a Data Science Professional Do?
• Data Science in Business
• Use Cases for Data Science
This document provides an overview of Python programming concepts across 5 units. Unit 1 introduces Python installation, data types, variables, expressions, statements and functions. It covers integers, floats, Booleans, strings, lists and the basics of writing Python code. Unit 2 discusses control flow statements like conditionals and loops. Unit 3 covers functions, strings, arrays and lists in more detail. Unit 4 focuses on lists, tuples, dictionaries and their methods. Unit 5 discusses files, exceptions, modules and packages in Python.
Software Engineering and Project Management - Software Testing + Agile Method...Prakhyath Rai
Software Testing: A Strategic Approach to Software Testing, Strategic Issues, Test Strategies for Conventional Software, Test Strategies for Object -Oriented Software, Validation Testing, System Testing, The Art of Debugging.
Agile Methodology: Before Agile – Waterfall, Agile Development.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
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Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
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2. AGENDA
Companies using Python
Top languages for Data Science
Introduction to Python & Features
Installation of Python
Working in IDLE
Working in Jupyter Notebook
Interactive Vs Script Mode
3.
4.
5. PYTHON - INTRODUCTION
Developed in late 1980 by Guido Van Rossum at National
Research Institute for Mathematics and Computer Science
in Netherlands.
Features of Python:
Simple – It is simple to learn, read and write
High level language – Program codes contains easy to
read syntax that is later converted into a low level language
(i.e binary codes)
6. PYTHON – INTRODUCTION Contd..
Open Source – It is freely available and the source code is
available for free.
Cross Platform/Portable - Python can run equally on
different platforms such as Windows, Linux, Unix, and
Macintosh etc.
Interpreted Language – Python program written will be
converted into intermediate language which is again
translated into native or machine language for execution.
8. PYTHON – INTRODUCTION Contd..
Interpreter translates just one statement of the program at
a time into machine code.
Vs
Compiler scans the entire program and translates the
whole of it into machine code at once.
9. PYTHON – INTRODUCTION Contd..
Case – Sensitive Language – Difference between
Uppercase and lowercase letters. i.e area, Area.
Object Oriented Language - Python structures a
program by bundling related properties and behaviors into
individual objects.
Automatic Type Inference – Doesn‟t need to define the type
of the data during its declaration.
10. PYTHON – INTRODUCTION Contd..
Scripting language – Uses an Interpreter to translate its
source code. The interpreter reads and executes each line of
code one at a time (like a “script” in a play/audition)
No worry about memory allocation
Interface with existing programming language –
Comes with a large standard library that supports many
common tasks.
No Semicolon at the end of the statement
11. PYTHON – INSTALLATION
Downloads available in www.python.org (Known as Cpython
Installation and it comes with Python Interpreter , Python IDLE
and PIP ( Package Installer )
Other Python distributions available in Anaconda Python
distribution (https://www.anaconda.com/distribution/),
comes with preloaded packages such as NumPy , SciPy, Pandas
etc .
Other Popular downloads available in form of Spyder IDE ,
PyCharm IDE etc.. (https://www.guru99.com/python-ide-code-
editor.html)
12. PYTHON – WORKING IN IDLE
IDLE – Integrated Development and Learning Environment
Two modes of working : (i) Interactive mode and (ii) Script
mode
Interactive Mode : Writing & Executing one command at
a time. ( Click Start – All Programs – Python x.x –IDLE )
Type the commands in the prompt (>>>) and hit Enter to
see the output.
14. PYTHON – WORKING IN IDLE
Script Mode : Writing & Executing Programs.
(Click Start – All Programs – Python x.x – IDLE )
( Click File – New – in Python IDLE shell )
Type the commands in the newly opened window and save the
program with the extension (.py )
For Execution , Click Run – Run Module or Press F5.
16. PYTHON – FEATURES OF IDLE
Multi-window text editor with syntax highlighting.
Auto completion with smart indentation.
Python shell to display output with syntax highlighting.
17. PYTHON – WORKING IN JUPYTER NOTEBOOK
Launch Anaconda Navigator from Start – All Programs –
Anaconda –Anaconda Navigator .
Click on Launch JUPYTER Notebook (Opens in Web
Browser)
Select Python3 by clicking on the drop down arrow mark of
New Option placed on the right hand side of the Dashboard.
JUPYTER = JUlia, PYThon and R
19. PYTHON – WORKING IN JUPYTER NOTEBOOK
In this window, the code can be written within the cell
provided.
If using Interactive mode, Type the commands in the Cell
and Press Run or Shift Enter.
If using Script mode, Type the commands in the Cell , save
the file by clicking on Untitled1 , Click Run to run your
program
23. PYTHON – SYNTAX
Keywords – Set of predefined words. A prescribed rule of
usage for each keyword is called a syntax.
Python 3.x interpreter has 33 keywords defined in it.
Since they have a predefined meaning attached, they cannot
be used for any other purpose.
To know the list of python keywords:
>>>help('keywords')
25. PYTHON – SYNTAX
Apart from Keywords, Python program can have variables,
functions, classes, modules, packages etc.
Identifier is the name given to these programming elements.
An identifier should start with either an alphabet letter (lower or
upper case) or an underscore (_).
After that, more than one alphabet letters (a-z or A-Z), digits (0-
9) or underscores may be used to form an identifier.
No other characters are allowed such as @,#,$, etc
Identifiers are case – sensitive.
26. PYTHON – SYNTAX
Eg: Names like myClass, var_1, and
this_is_a_long_variable
27. PYTHON – STATEMENT
By default, the Python interpreter treats a piece of text
terminated by hard carriage return (i.e new line character) as one
statement.
It means each line in a Python script is a statement.
(Just as in C/C++/C#, a semicolon ; denotes the end of a
statement).
Eg1: msg="Hello World"
Eg2: code=123
Eg3: name="Steve"
Use the semicolon ; to write multiple
statements in a single line.
Eg:
msg='"Hello World";code=123;name="Steve"'
28. PYTHON – STATEMENT
Continuation of Statement: We can show the text spread over
more than one lines to be a single statement by using the
backslash () as a continuation character.
Eg:
msg="Hello Python Learners <enter>
Welcome to Python Tutorial <enter>
from CSE Department"
29. PYTHON – INDENTS
Many times it is required to construct a block of more than one
statements.
For example there might be multiple statements that are part of
the definition of a function or method.
Most of the programming languages like C, C++, Java use braces
{ } to define a block of code. But, python uses indentation.
Blocks of code are denoted by line indentation.
It is a space given to the block of codes for class and
function definitions or flow control.
30. PYTHON – INDENTS
When a block is to be started, type the colon symbol (:) and
press Enter.
Any Python-aware editor (like IDLE) goes to the next line
leaving an additional whitespace (called indent).
Subsequent statements in the block follow the same level of
indent.
31. PYTHON – COMMENTS
A hash sign (#) is the beginning of a comment.
Anything written after # in a line is ignored by interpreter.
Eg: percentage = (minute * 100) / 60 # calculating
percentage of an hour
Python does not have multiple-line commenting feature. You
have to comment each line individually as follows :
# this is a comment
print ("Hello World")
print ("Welcome to Python Tutorial") #this is also a comment but after a statement
Use triple – quote
for mutli – line
comment
32. PYTHON – INPUT AND OUTPUT
Input is data entered by user (end user) in the program.
In python, input () function is available for input.
Syntax is:
variable = input (“data”)
Eg:
>>> x=input("enter the name:")
enter the name: George
>>>y=int(input("enter the number"))
enter the number 3
Python accepts string as default data type. Conversion is required for type.
A function is a block of
code which only runs
when it is called.
A set of statements
which perform a
specific tasks.
33. PYTHON – INPUT AND OUTPUT
OUTPUT: Output can be displayed to the user using print
statement .
Syntax:
print (expression/constant/variable)
Example:
>>> print ("Hello")
Hello
34. PYTHON – VARIABLE
Any value of certain type is stored in the computer's memory for
processing.
Out of available memory locations, one is randomly allocated for
storage.
In order to conveniently and repeatedly refer to the stored value,
it is given a suitable name.
A value is bound to a name by the assignment operator '='.
Eg:
A = 3
35. PYTHON – VARIABLE
Eg:
A = 3
A is the identifier and 3 is the value assigned to it.
The same identifier can be used to refer to another value.
Eg:
A = „hello‟
So, the value being referred can change (or vary), hence it is
called a variable.
It is important to remember that a variable is a name given
to a value, and not to a memory location storing the value.