Python is an object-oriented programming language that allows programmers to reuse pre-existing code through objects. It has a simple syntax and is less verbose than other languages. Python code is written in source files with a .py extension and interpreted one line at a time. Source files contain libraries and main code and use comments and whitespace to organize code. The print function displays text on the screen.
PYTHON CURRENT TREND APPLICATIONS- AN OVERVIEWEditorIJAERD
Python is a powerful high-level, interpreted, interactive, and object-oriented scripting language created by
Guido Van Rossum in late 1980’s. Python is a very suitable language for the beginner level programmers and supports
the development of a wide range of applications from simple text processing to www browsers to games developments.
One of the biggest reasons for Python’s rapid growth is the simplicity of its syntax. The language reads almost like plain
English, making it easy to write complex programs. In this paper we first analyze you to Python programming language
popularity and features. Moreover, this paper specifying applications areas where python can be applied and specially
analyzing web application frameworks which are using in Python programming language
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Introduction To Python' will help you establish a strong hold on all the fundamentals in the Python programming language. Below are the topics covered in this PPT:
Introduction To Python
Keywords And Identifiers
Variables And Data Types
Operators
Loops In Python
Functions
Classes And Objects
OOPS Concepts
File Handling
YouTube Video: https://youtu.be/uYjRzbP5aZs
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
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This document provides an introduction and overview of the Python programming language. It discusses that Python is an interpreted, object-oriented, high-level programming language created by Guido van Rossum. It describes several organizations that use Python extensively, such as Google, Facebook, Instagram, Spotify and Netflix. It also lists several domains where Python is commonly applied, including web development, game development, machine learning, data science and desktop applications. Finally, it provides instructions for installing Python on different operating systems.
This document provides an overview of the Python programming language. It discusses what Python is, its key features, who uses it, common applications, and how to download and install Python. It then covers Python syntax concepts like identifiers, keywords, multiline statements, docstrings, indentation, comments, and string formatting. The document also introduces Python data types like numbers, strings, lists, tuples, dictionaries, sets and how to work with them. It describes how to convert between number types and access/update strings and lists. Finally, it discusses Python development environments like Anaconda and Spyder.
This document discusses an introduction to Python training provided by DataFlair. It covers what Python is as an interpreted, high-level and general-purpose programming language. It discusses the history of Python from its conception in 1980 to the end of life for Python 2.7 in 2020. It also outlines some of Python's key features and components like functions, modules, packages and classes. Finally, it discusses frameworks and flavors of Python like Django, Flask and Jython as well as uses of Python for tasks like website building, data analysis and machine learning.
Python is an object-oriented programming language that allows programmers to reuse pre-existing code through objects. It has a simple syntax and is less verbose than other languages. Python code is written in source files with a .py extension and interpreted one line at a time. Source files contain libraries and main code and use comments and whitespace to organize code. The print function displays text on the screen.
PYTHON CURRENT TREND APPLICATIONS- AN OVERVIEWEditorIJAERD
Python is a powerful high-level, interpreted, interactive, and object-oriented scripting language created by
Guido Van Rossum in late 1980’s. Python is a very suitable language for the beginner level programmers and supports
the development of a wide range of applications from simple text processing to www browsers to games developments.
One of the biggest reasons for Python’s rapid growth is the simplicity of its syntax. The language reads almost like plain
English, making it easy to write complex programs. In this paper we first analyze you to Python programming language
popularity and features. Moreover, this paper specifying applications areas where python can be applied and specially
analyzing web application frameworks which are using in Python programming language
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Introduction To Python' will help you establish a strong hold on all the fundamentals in the Python programming language. Below are the topics covered in this PPT:
Introduction To Python
Keywords And Identifiers
Variables And Data Types
Operators
Loops In Python
Functions
Classes And Objects
OOPS Concepts
File Handling
YouTube Video: https://youtu.be/uYjRzbP5aZs
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
This document provides an introduction and overview of the Python programming language. It discusses that Python is an interpreted, object-oriented, high-level programming language created by Guido van Rossum. It describes several organizations that use Python extensively, such as Google, Facebook, Instagram, Spotify and Netflix. It also lists several domains where Python is commonly applied, including web development, game development, machine learning, data science and desktop applications. Finally, it provides instructions for installing Python on different operating systems.
This document provides an overview of the Python programming language. It discusses what Python is, its key features, who uses it, common applications, and how to download and install Python. It then covers Python syntax concepts like identifiers, keywords, multiline statements, docstrings, indentation, comments, and string formatting. The document also introduces Python data types like numbers, strings, lists, tuples, dictionaries, sets and how to work with them. It describes how to convert between number types and access/update strings and lists. Finally, it discusses Python development environments like Anaconda and Spyder.
This document discusses an introduction to Python training provided by DataFlair. It covers what Python is as an interpreted, high-level and general-purpose programming language. It discusses the history of Python from its conception in 1980 to the end of life for Python 2.7 in 2020. It also outlines some of Python's key features and components like functions, modules, packages and classes. Finally, it discusses frameworks and flavors of Python like Django, Flask and Jython as well as uses of Python for tasks like website building, data analysis and machine learning.
This document provides an overview of the Python programming language. It discusses Python's history, key features such as being easy to use, scalable, high-level, object-oriented, interpreted, and having a rich core library. It also covers Python's uses in areas like web development, databases, GUI programming, and more. The document is intended to introduce readers to Python and provide context for a book on making use of the language.
Python programming | Fundamentals of Python programming KrishnaMildain
Basic Fundamentals of Python Programming.
What is Python, History of python, Advantages, Disadvantages, feature of python, scope, and many more.
Data Structure using Python, Object Oriented Programming using
Full-day introductory training to the Python programming language and basics of programming for people who are interested in the subject but have never done anything related to it before and would like to explore it from a beginner's standpoint. This training was held at the TrustYou HQ office in Munich, Germany, once per quarter between 2017 and 2019.
Chapter 1 - INTRODUCTION TO PYTHON -MAULIK BORSANIYAMaulik Borsaniya
Introduction to Python:
The basic elements of Python, Objects, expressions and numerical Types, Variables and assignments, IDLE, Branching programs, Strings and Input, Iteration
Structured Types, Mutability and Higher-order Functions:
Tuples, Lists and Mutability, Functions as Objects, Strings, Tuples and Lists, Dictionaries
This document provides an introduction to the Python programming language. It covers Python's history and features, including its syntax, types, operators, control flow, functions, classes, and tools. Python is a readable, dynamic language suitable for web development, GUIs, scripting, and more. It has a focus on readability and productivity. Major companies and organizations that use Python include Google, NASA, Dropbox, IBM, Instagram, and Mozilla.
The document provides an introduction and overview of the Python programming language. It discusses that Python is an interpreted, object-oriented, high-level programming language that is easy to learn and read. It also covers Python features such as portability, extensive standard libraries, and support for functional, structured, and object-oriented programming. The document then discusses Python data types including numbers, strings, and various Python syntax elements before concluding with the history and evolution of the Python language through various versions.
Provides an introductory level understanding of the Python Programming Language and language features. Serves as a guide for beginners and a reference to Python basics and language use cases.
This Edureka Python Programming tutorial will help you learn python and understand the various basics of Python programming with examples in detail. Below are the topics covered in this tutorial:
1. Python Installation
2. Python Variables
3. Data types in Python
4. Operators in Python
5. Conditional Statements
6. Loops in Python
7. Functions in Python
8. Classes and Objects
The document provides an introduction to Python programming including its features, uses, history, and installation process. Some key points covered include:
- Python is an interpreted, object-oriented programming language that is used for web development, scientific computing, and desktop applications.
- It was created by Guido van Rossum in 1991 and named after the Monty Python comedy group.
- To install Python on Windows, users download the latest version from python.org and run the installer, which also installs the IDLE development environment.
- The document then covers basic Python concepts like variables, data types, operators, and input/output functions.
(1) Python uses indentation rather than braces to indicate blocks of code for functions and control flow. All statements within a block must be indented the same amount.
(2) Python identifiers can consist of letters, numbers, and underscores but must start with a letter or underscore. Identifiers are case-sensitive.
(3) There are reserved words in Python that cannot be used as identifiers such as def, if, else, and, or, not, etc.
This document provides an introduction to the Python programming language. It discusses what Python is, its key features such as being multi-purpose, object oriented, and interpreted. It describes Python's releases and popularity compared to other languages. The document also covers how to run and write Python programs, popular IDEs and code editors, installing packages with pip, categories of public Python packages, and package popularity. It discusses Python modularity with Anaconda and conda versus pip for installation.
Python An Introduction, A presentation Developed by Swarit Wadhe. This Slide Will Give you basic information about python (Origin, Codes and difference from other languages).
I hope you'll find this helpfull and if you do please share it with your fellows.
This document provides an overview of Python programming concepts including the basics of Python, strings, control structures like if/else statements and loops, and input/output functions. It discusses what a program and programming are, gives an introduction to Python including its uses and installation. It then covers key Python concepts like variables, data types, operators, functions, modules and object-oriented programming.
Python is a widely-used and powerful computer programming language that has helped system administrators manage computer networks and problem solve computer systems for decades. Python has also built some popular applications like BitTorrent, Blender, Calibre, Dropbox, and much more. Going further, the “Pi” in Raspberry Pi stands for Python, so learning Python will instill more confidence when working with Raspberry Pi projects. Python is usually the first programming language people learn primarily because it is easy to learn and provides a solid foundation to learn other computer programming languages. In this webinar,
• Learn what Python is and what it is capable of doing.
• Install Python’s IDE for Windows and work in the Python shell.
• Use calculations, variables, strings, lists, and if statements.
• Discover Python’s built-in functions and understand modules.
• Create simple programs to build on later.
The recording is available at https://youtu.be/ThcWmJFf-ho.
This document introduces a Python programming course taught by Ghulam Mustafa Shoro at the University of Sindh. The course covers Python programming theory and lab work. It meets once a week for theory and once a week for lab. The textbook used is "Python for Everybody". The course aims to teach basic Python programming and covers chapters 1-5 of the textbook. Upon completing the course, students will be prepared for more advanced Python courses.
This document discusses key concepts in Python programming including data types, operators, strings, modules, object-oriented programming, and connecting to SQLite databases. It provides examples of numeric, boolean, and sequence data types. It also demonstrates various math operators, string operators like concatenation and multiplication, and how to import and use modules. Object-oriented concepts like classes, attributes, and behaviors are explained using a parrot example. Finally, it mentions how to connect a SQLite database to Python code using the MySQLdb interface.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
Python 101: Python for Absolute Beginners (PyTexas 2014)Paige Bailey
If you're absolutely new to Python, and to programming in general, this is the place to start!
Here's the breakdown: by the end of this workshop, you'll have Python downloaded onto your personal machine; have a general idea of what Python can help you do; be pointed in the direction of some excellent practice materials; and have a basic understanding of the syntax of the language.
Please don't forget to bring your laptop!
Audience: "Python 101" is geared toward individuals who are new to programming. If you've had some programming experience (shell scripting, MATLAB, Ruby, etc.), then you'll probably want to check out the more intermediate workshop, "Python 101++".
This document discusses programming languages, compilers vs interpreters, and introduces Python. It explains that a programming language communicates instructions to a machine and can be used to create programs. An interpreter reads and executes code directly, while a compiler converts source code into machine code. Python is an interpreted, object-oriented language that is easy to learn yet powerful. It can be used for web, enterprise, and other applications. The document also provides basic information on Python syntax and data types.
Feihong talks about PEP 3156 and basic usage of Tulip, the reference implementation.
Video: http://pyvideo.org/video/2194/asynchronous-io-in-python-3
Source code: https://github.com/feihong/tulip-talk/
Introduction to the basics of Python programming (part 3)Pedro Rodrigues
This is the 3rd part of a multi-part series that teaches the basics of Python programming. It covers list and dict comprehensions, functions, modules and packages.
This document provides an overview of the Python programming language. It discusses Python's history, key features such as being easy to use, scalable, high-level, object-oriented, interpreted, and having a rich core library. It also covers Python's uses in areas like web development, databases, GUI programming, and more. The document is intended to introduce readers to Python and provide context for a book on making use of the language.
Python programming | Fundamentals of Python programming KrishnaMildain
Basic Fundamentals of Python Programming.
What is Python, History of python, Advantages, Disadvantages, feature of python, scope, and many more.
Data Structure using Python, Object Oriented Programming using
Full-day introductory training to the Python programming language and basics of programming for people who are interested in the subject but have never done anything related to it before and would like to explore it from a beginner's standpoint. This training was held at the TrustYou HQ office in Munich, Germany, once per quarter between 2017 and 2019.
Chapter 1 - INTRODUCTION TO PYTHON -MAULIK BORSANIYAMaulik Borsaniya
Introduction to Python:
The basic elements of Python, Objects, expressions and numerical Types, Variables and assignments, IDLE, Branching programs, Strings and Input, Iteration
Structured Types, Mutability and Higher-order Functions:
Tuples, Lists and Mutability, Functions as Objects, Strings, Tuples and Lists, Dictionaries
This document provides an introduction to the Python programming language. It covers Python's history and features, including its syntax, types, operators, control flow, functions, classes, and tools. Python is a readable, dynamic language suitable for web development, GUIs, scripting, and more. It has a focus on readability and productivity. Major companies and organizations that use Python include Google, NASA, Dropbox, IBM, Instagram, and Mozilla.
The document provides an introduction and overview of the Python programming language. It discusses that Python is an interpreted, object-oriented, high-level programming language that is easy to learn and read. It also covers Python features such as portability, extensive standard libraries, and support for functional, structured, and object-oriented programming. The document then discusses Python data types including numbers, strings, and various Python syntax elements before concluding with the history and evolution of the Python language through various versions.
Provides an introductory level understanding of the Python Programming Language and language features. Serves as a guide for beginners and a reference to Python basics and language use cases.
This Edureka Python Programming tutorial will help you learn python and understand the various basics of Python programming with examples in detail. Below are the topics covered in this tutorial:
1. Python Installation
2. Python Variables
3. Data types in Python
4. Operators in Python
5. Conditional Statements
6. Loops in Python
7. Functions in Python
8. Classes and Objects
The document provides an introduction to Python programming including its features, uses, history, and installation process. Some key points covered include:
- Python is an interpreted, object-oriented programming language that is used for web development, scientific computing, and desktop applications.
- It was created by Guido van Rossum in 1991 and named after the Monty Python comedy group.
- To install Python on Windows, users download the latest version from python.org and run the installer, which also installs the IDLE development environment.
- The document then covers basic Python concepts like variables, data types, operators, and input/output functions.
(1) Python uses indentation rather than braces to indicate blocks of code for functions and control flow. All statements within a block must be indented the same amount.
(2) Python identifiers can consist of letters, numbers, and underscores but must start with a letter or underscore. Identifiers are case-sensitive.
(3) There are reserved words in Python that cannot be used as identifiers such as def, if, else, and, or, not, etc.
This document provides an introduction to the Python programming language. It discusses what Python is, its key features such as being multi-purpose, object oriented, and interpreted. It describes Python's releases and popularity compared to other languages. The document also covers how to run and write Python programs, popular IDEs and code editors, installing packages with pip, categories of public Python packages, and package popularity. It discusses Python modularity with Anaconda and conda versus pip for installation.
Python An Introduction, A presentation Developed by Swarit Wadhe. This Slide Will Give you basic information about python (Origin, Codes and difference from other languages).
I hope you'll find this helpfull and if you do please share it with your fellows.
This document provides an overview of Python programming concepts including the basics of Python, strings, control structures like if/else statements and loops, and input/output functions. It discusses what a program and programming are, gives an introduction to Python including its uses and installation. It then covers key Python concepts like variables, data types, operators, functions, modules and object-oriented programming.
Python is a widely-used and powerful computer programming language that has helped system administrators manage computer networks and problem solve computer systems for decades. Python has also built some popular applications like BitTorrent, Blender, Calibre, Dropbox, and much more. Going further, the “Pi” in Raspberry Pi stands for Python, so learning Python will instill more confidence when working with Raspberry Pi projects. Python is usually the first programming language people learn primarily because it is easy to learn and provides a solid foundation to learn other computer programming languages. In this webinar,
• Learn what Python is and what it is capable of doing.
• Install Python’s IDE for Windows and work in the Python shell.
• Use calculations, variables, strings, lists, and if statements.
• Discover Python’s built-in functions and understand modules.
• Create simple programs to build on later.
The recording is available at https://youtu.be/ThcWmJFf-ho.
This document introduces a Python programming course taught by Ghulam Mustafa Shoro at the University of Sindh. The course covers Python programming theory and lab work. It meets once a week for theory and once a week for lab. The textbook used is "Python for Everybody". The course aims to teach basic Python programming and covers chapters 1-5 of the textbook. Upon completing the course, students will be prepared for more advanced Python courses.
This document discusses key concepts in Python programming including data types, operators, strings, modules, object-oriented programming, and connecting to SQLite databases. It provides examples of numeric, boolean, and sequence data types. It also demonstrates various math operators, string operators like concatenation and multiplication, and how to import and use modules. Object-oriented concepts like classes, attributes, and behaviors are explained using a parrot example. Finally, it mentions how to connect a SQLite database to Python code using the MySQLdb interface.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
Python 101: Python for Absolute Beginners (PyTexas 2014)Paige Bailey
If you're absolutely new to Python, and to programming in general, this is the place to start!
Here's the breakdown: by the end of this workshop, you'll have Python downloaded onto your personal machine; have a general idea of what Python can help you do; be pointed in the direction of some excellent practice materials; and have a basic understanding of the syntax of the language.
Please don't forget to bring your laptop!
Audience: "Python 101" is geared toward individuals who are new to programming. If you've had some programming experience (shell scripting, MATLAB, Ruby, etc.), then you'll probably want to check out the more intermediate workshop, "Python 101++".
This document discusses programming languages, compilers vs interpreters, and introduces Python. It explains that a programming language communicates instructions to a machine and can be used to create programs. An interpreter reads and executes code directly, while a compiler converts source code into machine code. Python is an interpreted, object-oriented language that is easy to learn yet powerful. It can be used for web, enterprise, and other applications. The document also provides basic information on Python syntax and data types.
Feihong talks about PEP 3156 and basic usage of Tulip, the reference implementation.
Video: http://pyvideo.org/video/2194/asynchronous-io-in-python-3
Source code: https://github.com/feihong/tulip-talk/
Introduction to the basics of Python programming (part 3)Pedro Rodrigues
This is the 3rd part of a multi-part series that teaches the basics of Python programming. It covers list and dict comprehensions, functions, modules and packages.
introduction to Python by Mohamed Hegazy , in this slides you will find some code samples , these slides first presented in TensorFlow Dev Summit 2017 Extended by GDG Helwan
This document provides an overview of a tutorial on mastering Python 3 I/O. The tutorial will cover the reimplemented I/O system in Python 3, including text handling, formatting, binary data handling, the new I/O stack, system interfaces, and library design issues. It assumes some familiarity with how I/O works in Python 2 and will take a detailed tour of the changes in Python 3.
Python is a widely used general purpose programming language that was created in the late 1980s by Guido van Rossum. It emphasizes code readability and has a large standard library. It supports multiple programming paradigms like object oriented, imperative, and functional programming. Compared to other languages, Python programs are typically shorter than equivalent programs in languages like Java due to features like dynamic typing.
The document provides an introduction to Python programming. It discusses installing and running Python, basic Python syntax like variables, data types, conditionals, and functions. It emphasizes that Python uses references rather than copying values, so assigning one variable to another causes both to refer to the same object.
The basics of Python are rather straightforward. In a few minutes you can learn most of the syntax. There are some gotchas along the way that might appear tricky. This talk is meant to bring programmers up to speed with Python. They should be able to read and write Python.
This document provides an introduction and overview of the Python programming language. It covers Python's history and key features such as being object-oriented, dynamically typed, batteries included, and focusing on readability. It also discusses Python's syntax, types, operators, control flow, functions, classes, imports, error handling, documentation tools, and popular frameworks/IDEs. The document is intended to give readers a high-level understanding of Python.
This document provides an introduction and agenda for a workshop on Python 3 scripting. The introduction covers the presenter's background in Python and an overview of what Python is. The agenda outlines the goals of making Python ready on attendees' workstations, preparing them for Python 3, providing resources for learning Python 3, and a quiz. Basic topics to be covered include setting up Python, a "Hello world!" example, and doing basic practices with conditionals, loops, files, and networking. Attendees will do an exercise writing their first Python script to make an HTTP request. Study materials are recommended after the workshop.
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. Python is an interpreted language that is free, powerful, and portable. It can be used for tasks like web development, data analysis, and system scripting. The document provides an overview of Python including its history, uses, data types like strings and lists, and basic programming concepts like variables, conditionals, and loops. It recommends Python as a principal teaching language due to its free and easy installation, flexibility, use in academia and industry, and ability to offer a more rapid and enjoyable learning experience for students.
Python is a popular programming language created by Guido van Rossum in 1991. It is easy to use, powerful, and versatile, making it suitable for beginners and experts alike. Python code can be written and executed in the browser using Google Colab, which provides a Jupyter notebook environment and access to computing resources like GPUs. The document then discusses installing Python using Anaconda, basic Python concepts like indentation, variables, strings, conditionals, and loops.
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.
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.
Python is a general purpose programming language that can be used for web development, system administration, science and more. It is interpreted rather than compiled, and was created in the 1990s by Guido van Rossum to be highly readable. Python is widely used by companies like Google, YouTube, Intel and more due to its power, flexibility and readability. It supports key programming concepts like variables, conditionals, loops, lists, tuples and more.
This document discusses the Python programming language. It describes that Python was created by Guido van Rossum in 1991 and was named after the Monty Python comedy group. Python can be used for both object-oriented and procedural programming. The document then explains that Python is easy to learn and use due to its English-like syntax. It also notes that Python is free, open-source, platform independent, and can be used to develop various applications including GUIs, web apps, games, and databases. Finally, it provides instructions on how to install Python by downloading it from the Python website.
This document introduces Python by discussing what it is, its features, applications, and how to download, install, and run Python programs. Python is a popular, general-purpose programming language that is easy to learn, cross-platform, open-source, and supports both object-oriented and procedural programming. It can be used for tasks like web development, GUI applications, and data analysis.
The PyConTW (http://tw.pycon.org) organizer wishes to improve the quality and quantity of the programming cummunities in Taiwan. Though Python is their core tool and methodology, they know it's worth to learn and communicate with wide-ranging communities. Understanding cultures and ecosystem of a language takes me about three to six months. This six-hour course wraps up what I - an experienced Java developer - have learned from Python ecosystem and the agenda of the past PyConTW.
你可以在以下鏈結找到中文內容:
http://www.codedata.com.tw/python/python-tutorial-the-1st-class-1-preface
This document provides an overview of the Python programming language. It begins by explaining what Python is, noting that it is a general purpose programming language that is often used for scripting. The key differences between program and scripting languages are then outlined. The history and creation of Python by Guido van Rossum are summarized, along with Python's scope in fields like science, system administration, and web development. Various uses of Python are listed, followed by who commonly uses Python today such as Google and YouTube. Reasons for Python's popularity include being free, powerful, and portable. The document concludes by covering installing Python, running and executing Python code, and some basic Python concepts like strings, variables, data types, and loops/
This document provides an overview of the Python programming language. It begins by explaining what Python is - a general purpose, interpreted programming language that can be used as both a programming and scripting language. It then discusses the differences between programs and scripting languages. The history and creator of Python, Guido van Rossum, are outlined. The document explores the scope of Python and what tasks it can be used for. Popular companies and industries that use Python today are listed. Reasons why people use Python, such as it being free, powerful, and portable, are provided. Instructions for installing Python and running Python code are included. The document covers Python code execution and introduces basic Python concepts like variables, strings, data types, lists
Python is a popular programming language created by Guido van Rossum in 1991. It is used for web development, software development, mathematics, and system scripting. Python code can be written and executed quickly as it runs on an interpreter system. It has a simple, English-like syntax and works across many platforms. The latest major version is Python 3, though Python 2 remains popular.
This document provides an 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 object-oriented and procedural programming. It is easy to learn and use, platform independent, has a simple syntax like English, and is free and open source. The document then describes how to install Python from the python.org website and introduces interactive and script modes for working in Python. It also provides some examples of applications that can be developed with Python.
4_Introduction to Python Programming.pptxGnanesh12
This document provides an introduction to Python programming. It discusses the fundamentals of computing and problem solving, including algorithms and pseudocodes. It then describes the history and development of the Python programming language. Key features of Python like being easy to learn, cross-platform, and having a large standard library are outlined. Different modes of running Python like interactive and script modes are explained. Finally, it covers basic Python concepts like data types, values, variables, and statements.
This is a python course for beginners, intended both for frontal class learning as well as self-work.
The Course is designed for 2 days and then another week of HW assignments.
Python is an easy to learn, object-oriented programming language that is widely used for scientific computing. It allows interactive testing of code through its interpreter interface. A user's first Python program prints "hello, world!" by saving a line of text with the .py extension and running it with the Python interpreter. Python defines six basic object types - numbers, strings, lists, tuples, dictionaries, and files. Variables store references to objects, and objects can be written directly as literals or accessed via variables. Important Python packages must be imported before their functions can be used. Command line arguments provide a way to input information into programs.
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.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
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GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
1. Introduction to Python 3
“Your first scripting in Python 3.x” workshop
Youhei Sakurai, TC, CSS, YSJ
APAC-EU time zone, 30th September, 2016
2. Youhei Sakurai
• Intermediate Pythonista
• Started to learn Python in 2010.
• Have been introducing Python several times since 2011.
• Publishing one package on PyPI – PyMemoryModule.
• My name is written in change log of lxml 3.6.0.
3. Rules
• Will finish on time even if some of topics are not completed.
• Turn on your web-cam to enhance your active involvement.
• Raise your questions to drive bi-directional communication.
• If it is beyond beginner’s level, I’d suggest to have separate call.
• If there’re too many, I’d select rather important ones for everyone.
• Stay sharp with your text editor and Python installer.
4. Agenda
• What’s Python
• How Python looks like
• Let’s set up Python
• “Hello world!”
• Do basic practices
• Your first scripting
• Study materials
• Kahoot quiz
5. Goals
• Make Python ready on your workstation.
• Make yourself ready in the Python 3.x Ocean.
• Get breadcrumb list to learn Python 3.x.
• And... Let you get high score at Kahoot quiz.
7. What’s Python
• One of programing languages like Java, C, Perl, Ruby, etc
• No compilation, no type definitions, no magic, no callback hell
• Well documented, cross platform, multi-purpose glue language
• Used in Amazon, Google, Yahoo, Dropbox, NASA, etc
OK, but why Python?
8. Why Python
• Batteries included
• Web server, database, GUI, networking, regex, XML, JSON, archiving, C/C++
integration, package manager, async I/O, serialization, etc.
• Not a toy, powerful enough
• Can write anything from one tiny script to large scaled enterprise application.
• Defacto standard language in IT industry
• Even I can write Python codes better than English email.
Sounds like none of my business…
9. Why Python for you
• Python runs anywhere
• You can carry the most professional toolset everywhere
• Python makes sense very well
So, is Python perfect?
10. A few disadvantages in Python
• Slower than C/C++ and assembly
• No JIT (Just-In-Time) compiler equipped in CPython
• GIL (Global Interpreter Lock) prevents real parallelism in CPython
• Jython and IronPython falls much behind CPython
Who cares?
12. A bit more about Python
History of Python
• Created in 1989 by Guido Van Rossum
• Python 1.0 released in 1994
• Python 2.0 released in 2000
• Python 3.0 released in 2008
• Python 2.7 released in 2010
• Python 3.5 released in 2015
• No Python 2.8 planned (*1)
• EOL of Python 2.7 planed in 2020 (*2)
*1 … PEP 404, *2 … PEP 373
Zen of Python (by Tim Peters)
• Beautiful is better than ugly.
• Explicit is better than implicit.
• Simple is better than complex.
• Complex is better than complicated.
• Flat is better than nested.
• Sparse is better than dense.
• Readability counts.
• Special cases aren't special
enough to break the rules.
…
14. How Python looks like
Interactive shell - Windows
• Just run `python`
Interactive shell - Unix
• Just run `python` or `python3`
Version infoType any codes you want to run
15. How Python looks like
Script
1. Create e.g. `script.py` file
2. Save it as UTF-8 text file
Command line interface
• Run `python script.py`
No logo output by default
16. What’s Python
How Python looks like
Let’s set up Python
Make Python ready
Make yourself ready
Get breadcrumb list
17. Let’s set up Python
Windows / Mac OS X
1. Download installer
2. Double-click installer
Windows
-> Add Python to PATH
Mac OS X
-> Do NEVER fix system Python
3. Complete installation
Linux (Debian/Ubuntu)
1. Retrieve packages list
apt-get update
2. Install Python 3.x
apt-get install python3
3. Install pip
apt-get install python3-pip
19. pip and ipython
• pip … Package manager in Python
• Packages are on public repository similarly with apt, ppm, npm, etc
• ipython … Enhanced interactive shell
• [TAB] -> completion
• `?` -> help
• `??` -> see source
• `_` -> last output
• Auto indentation, [Ctrl]+c capturing, search ([Ctrl]+r), etc
20. Let’s install ipython using pip
1. Ensure connectivity to the Internet
2. Type `pip install ipython`
3. Hit [Enter]
…
21. What’s Python
How Python looks like
Let’s set up Python
“Hello world!”
✓Make Python ready
Make yourself ready
Get breadcrumb list
22. “Hello world!”
1. Run `python` or `ipython`
2. Type `print(“Hello world!”)`
3. Hit [Enter]
23. How Python looks like
Let’s set up Python
“Hello world!”
Do basic practices
✓Make Python ready
Make yourself ready
Get breadcrumb list
24. Differentiations from C style
1. `:` + indentation instead of `{ … }`
2. Pascal-like operators -> `and` `or` `not`
3. Bash-like comment -> starting with `#`
4. No difference between `’` and `”`
5. No need to put `;` at the end of line
sample.py sample.c
25. Do basic practices – if … elif … else
1. Run `ipython`
2. Type code(s)
3. Hit [Enter]
26. Do basic practices – list, len(…)
1. Run `ipython`
2. Type code(s)
3. Hit [Enter]
27. Do basic practices – for … in …, range(…)
1. Run `ipython`
2. Type code(s)
3. Hit [Enter]
28. Do basic practices – while …, import
1. Run `ipython`
2. Type code(s)
3. Hit [Enter]
29. Do basic practices – open, “…”, b”…”
1. Run `ipython`
2. Type code(s)
3. Hit [Enter]
31. Do basic practices – open, “…”, b”…”
1. Run `ipython`
2. Type code(s)
3. Hit [Enter]
32. Do basic practices – urlopen
1. Run `ipython`
2. Type code(s)
3. Hit [Enter]
33. Let’s set up Python
“Hello world!”
Do basic practices
Your first scripting
✓Make Python ready
✓Make yourself ready
Get breadcrumb list
34. Your first scripting
• I am going to write dummy Web server.
• My script will do:
• Listen on 80/tcp.
• Accept incoming connections.
• Respond random number of words.
• You are going to write HTTP client.
• Your script will do:
• Access server via HTTP.
• Read content from response object. <- How to decode binary data?
• Split content by white space. <- How to split string?
• Print how many words in response. <- How to count list of strings?
35. “Hello world!”
Do basic practices
Your first scripting
Study materials
✓Make Python ready
✓Make yourself ready
Get breadcrumb list
36. Study materials
• The Python Tutorial
• Describes all you need to know about Python
• Learn Python the Hard Way
• Gives practical tasks to make you able to write Python codes
• GitHub
• Guides how you should write well-mannered Python codes