This document provides an introduction to Python programming through a series of lectures. It begins with defining Python, what it can be used for, and why it is a popular language. It then covers Python syntax compared to other languages, getting started with Python including installation and running a simple program. The document continues with topics like Python variables, data types, strings, numbers, operators, and lists. It provides examples and explanations of core Python concepts to help newcomers learn the essentials of the language.
The document summarizes key concepts in Python including:
- Python uses indentation to indicate code blocks rather than brackets. The number of spaces must be consistent within a block.
- Variables are created by assigning values without an explicit declaration. Comments start with #.
- Types include integers, floats, and strings which can be surrounded by single or double quotes.
- Operators include arithmetic, relational, logical, and assignment. Conditional statements include if-else statements and loops like for and while that iterate as long as a condition is true.
Introduction to Python for Data Science and Machine Learning ParrotAI
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This document provides an introduction and overview of Python for data science and machine learning. It covers basics of Python including what Python is, its features, why it is useful for data science. It also discusses installing Python, using the IDLE and Jupyter Notebook environments. The document then covers Python basics like variables, data types, operators, decision making and loops. Finally, it discusses collection data types like lists, tuples and dictionaries and functions in Python.
This document provides an overview of Python programming in Katana for beginners. It discusses scripting languages and their advantages, different programming paradigms like procedural and object-oriented programming, and key Python concepts like data types, variables, functions, modules and packages. The document also demonstrates how to get started with Python in Katana, covering topics like syntax, comments, writing scripts and using the interactive console.
This document provides an introduction and overview of the Python programming language course CSE 120 handled by G.Gandhi Jaba Kumar. It discusses that Python is an interpreted, object-oriented, and interactive programming language used for web development, software development, mathematics, and system scripting. The document then covers Python syntax including indentation, comments, keywords, variables, data types, operators, and basic programming concepts like conditionals and loops. It provides examples to illustrate Python code and best practices.
Python is a high-level, interpreted, interactive and object-oriented scripting language. It is designed to be highly readable using English keywords. Python is interpreted at runtime and does not require compilation. It supports both procedural and object-oriented programming. Python is beginner friendly and supports a wide range of applications. It is portable, extensible, and has a large standard library. Variables are dynamically typed and support integers, floating point numbers, complex numbers, strings, lists, tuples and dictionaries.
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.
Python is a high-level programming language for computers that gives instructions on how to do something. It has efficient high-level data structures and a simple but effective object-oriented programming style. Python is a high-level computer programming language that is meant to represent the needs of a problem and looks like natural language or mathematical notation. It is a free language with open-source code. This means that the source code of Python scripts is free to read, change, and share. Python is a language that is used to interpret other languages. Tutorials Freak is an online resource that offers tutorials on cutting-edge software and hardware. It also has a Python tutorial that's been put together by the field's experts in such an easy-to-understand way. It will really make it easier for you to learn.
Python Fundamentals for the begginers in programmingbsse20142018
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The document provides an overview of Python fundamentals including blocks of code, indentation rules, comments, data types, variables, functions like print() and type(), errors, and arithmetic operations. It covers topics like string formatting, type conversion, floating point numbers, and exercises for students to practice the concepts.
Python has a consistent syntax that defines rules for writing code. Some key elements of Python syntax include:
- Variables, expressions, and statements that make up the basic building blocks.
- Different data types like integers, floats, strings, lists, and dictionaries.
- Various operators for arithmetic, comparison, assignment, logical operations etc.
- Comments and docstrings to document code.
- Use of indentation to organize blocks of code rather than brackets.
- Support for multiline strings using triple quotes.
- Comparison operators to check relationships between values.
Python is an interpreted, interactive, object-oriented programming language. It has a simple syntax and is used for rapid application development. Python supports procedural, object-oriented, and functional programming. It has a large standard library and can connect to existing components. Python is easy to read and maintain due to its clear syntax and structure. It is also portable and has broad library support.
Python is a cross-platform programming language that can run on Windows, macOS, Linux, and other platforms. It is free and open-source. While most modern operating systems come with Python pre-installed, it is generally recommended to install the latest version separately. The Thonny IDE is a simple Python IDE that bundles the latest Python version, so it can run Python programs without requiring a separate Python installation. Thonny has features like an easy-to-use debugger and code completion that make it suitable for beginners learning Python.
This presentation is a great resource for zero-based Python programmers who wants to learn Python 3. This course includes brief history of Python and familiarity of its basic syntax.
Python is an interactive, object-oriented scripting language that is highly readable. It uses English keywords instead of punctuation and has less complex syntax than other languages. Pythonpath tells the interpreter where to locate importable module files, including the Python source library and source code directories. The Pythonstartup environment variable specifies the path containing Python source code that runs at interpreter startup. Tuples are immutable sequences surrounded by parentheses, while lists are mutable sequences surrounded by brackets. There are five ways to reverse a string in Python, including using a loop, recursion, stack, extended slice syntax, or the reversed built-in function.
python programming language Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. INTRODUCTION
HISTORY
USES OF PYTHON
FEATURES OF PYTHON
PYTHON PROJECT FOR BEGINNERS
PYTHON PROGRAM
KEY CHANGES IN PYTHON
BASIC SYNTAX
VARIABLE
NUMBERS
STANDARD TYPE HIERARCHY
STRING
CONDITIONALS
FOR LOOP
FUNCTION
KEYWORDS
WHY PYTHON ?
DIFFERENTIATE
EXAMPLES
Python is a widely used general-purpose programming language that is highly readable. It uses fewer syntactical constructions than other languages and supports object-oriented programming. The document discusses how Python defines classes with attributes and methods and is a dynamic language with high-level data types, making development faster than with Java or C++. It also covers topics that will be included in the Python training, such as classes and objects, inheritance, strings, lists, dictionaries, exceptions, multithreading, streams, and database connections. The training aims to help students master Python scripting fundamentals and acquire object-oriented skills.
The document discusses various real-world applications of IoT data analytics including:
1. Smart cities applications such as smart parking, structural health monitoring, and traffic congestion monitoring.
2. Environmental monitoring applications such as forest fire detection, air pollution monitoring, and landslide prevention.
3. Industrial and agricultural applications such as machine auto-diagnostics, product quality control, precision agriculture, and livestock monitoring.
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Python is a high-level, interpreted, interactive and object-oriented scripting language. It is designed to be highly readable using English keywords. Python is interpreted at runtime and does not require compilation. It supports both procedural and object-oriented programming. Python is beginner friendly and supports a wide range of applications. It is portable, extensible, and has a large standard library. Variables are dynamically typed and support integers, floating point numbers, complex numbers, strings, lists, tuples and dictionaries.
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.
Python is a high-level programming language for computers that gives instructions on how to do something. It has efficient high-level data structures and a simple but effective object-oriented programming style. Python is a high-level computer programming language that is meant to represent the needs of a problem and looks like natural language or mathematical notation. It is a free language with open-source code. This means that the source code of Python scripts is free to read, change, and share. Python is a language that is used to interpret other languages. Tutorials Freak is an online resource that offers tutorials on cutting-edge software and hardware. It also has a Python tutorial that's been put together by the field's experts in such an easy-to-understand way. It will really make it easier for you to learn.
Python Fundamentals for the begginers in programmingbsse20142018
油
The document provides an overview of Python fundamentals including blocks of code, indentation rules, comments, data types, variables, functions like print() and type(), errors, and arithmetic operations. It covers topics like string formatting, type conversion, floating point numbers, and exercises for students to practice the concepts.
Python has a consistent syntax that defines rules for writing code. Some key elements of Python syntax include:
- Variables, expressions, and statements that make up the basic building blocks.
- Different data types like integers, floats, strings, lists, and dictionaries.
- Various operators for arithmetic, comparison, assignment, logical operations etc.
- Comments and docstrings to document code.
- Use of indentation to organize blocks of code rather than brackets.
- Support for multiline strings using triple quotes.
- Comparison operators to check relationships between values.
Python is an interpreted, interactive, object-oriented programming language. It has a simple syntax and is used for rapid application development. Python supports procedural, object-oriented, and functional programming. It has a large standard library and can connect to existing components. Python is easy to read and maintain due to its clear syntax and structure. It is also portable and has broad library support.
Python is a cross-platform programming language that can run on Windows, macOS, Linux, and other platforms. It is free and open-source. While most modern operating systems come with Python pre-installed, it is generally recommended to install the latest version separately. The Thonny IDE is a simple Python IDE that bundles the latest Python version, so it can run Python programs without requiring a separate Python installation. Thonny has features like an easy-to-use debugger and code completion that make it suitable for beginners learning Python.
This presentation is a great resource for zero-based Python programmers who wants to learn Python 3. This course includes brief history of Python and familiarity of its basic syntax.
Python is an interactive, object-oriented scripting language that is highly readable. It uses English keywords instead of punctuation and has less complex syntax than other languages. Pythonpath tells the interpreter where to locate importable module files, including the Python source library and source code directories. The Pythonstartup environment variable specifies the path containing Python source code that runs at interpreter startup. Tuples are immutable sequences surrounded by parentheses, while lists are mutable sequences surrounded by brackets. There are five ways to reverse a string in Python, including using a loop, recursion, stack, extended slice syntax, or the reversed built-in function.
python programming language Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. INTRODUCTION
HISTORY
USES OF PYTHON
FEATURES OF PYTHON
PYTHON PROJECT FOR BEGINNERS
PYTHON PROGRAM
KEY CHANGES IN PYTHON
BASIC SYNTAX
VARIABLE
NUMBERS
STANDARD TYPE HIERARCHY
STRING
CONDITIONALS
FOR LOOP
FUNCTION
KEYWORDS
WHY PYTHON ?
DIFFERENTIATE
EXAMPLES
Python is a widely used general-purpose programming language that is highly readable. It uses fewer syntactical constructions than other languages and supports object-oriented programming. The document discusses how Python defines classes with attributes and methods and is a dynamic language with high-level data types, making development faster than with Java or C++. It also covers topics that will be included in the Python training, such as classes and objects, inheritance, strings, lists, dictionaries, exceptions, multithreading, streams, and database connections. The training aims to help students master Python scripting fundamentals and acquire object-oriented skills.
The document discusses various real-world applications of IoT data analytics including:
1. Smart cities applications such as smart parking, structural health monitoring, and traffic congestion monitoring.
2. Environmental monitoring applications such as forest fire detection, air pollution monitoring, and landslide prevention.
3. Industrial and agricultural applications such as machine auto-diagnostics, product quality control, precision agriculture, and livestock monitoring.
This document discusses IoT sensing and provides information on sensors and actuators. It defines sensors and their characteristics such as accuracy, range, resolution, sensitivity, and drift. Sensors are classified as passive/active, analog/digital, and scalar/vector. The document also defines actuators and their types, including electric linear/rotary actuators, fluid power linear/rotary actuators, linear chain actuators, and manual linear/rotary actuators. Actuators convert control signals or different forms of energy into mechanical motion or action.
Predictive analytics uses techniques like data mining, statistics, modeling and machine learning to analyze current data and make predictions about future unknown events. It works like driving and watching the traffic to anticipate conditions and make adjustments to avoid issues and reach destinations faster and safer. Benefits include improved productivity through enhanced data gathering and decision making, as well as process improvements that can increase revenue and optimize costs. Predictive analytics also features data analysis, visualization, statistics, hypothesis testing and modeling relationships between business factors and performance to enhance organizational visibility and outcomes.
This document discusses various wired and wireless connectivity options for IoT devices. It describes short-range wireless protocols like NFC, Bluetooth, Zigbee and Wi-Fi. It also discusses cellular technologies and long-range low-power wide-area networks. The key types of connectivity covered are serial bus, USB, Ethernet, NFC, Bluetooth, Zigbee, Wi-Fi and various cellular technologies. Students should be able to identify wired and wireless connectivity options and understand the use of different connectivity standards in IoT applications.
This document discusses fundamentals of IoT data analytics. It defines IoT analytics and explains challenges including dealing with large amounts of data, security issues, and misbehaving devices. It categorizes IoT data as either structured or unstructured, and as data in motion or at rest. Structured data fits a predefined model while unstructured data lacks structure. Data in motion passes through networks while data at rest is stored. Both predictive and prescriptive analytics provide more value but are more complex than descriptive or diagnostic analysis. Class activities involve capturing IoT data examples and presenting categorization and challenges.
This document provides an introduction to the Internet of Things (IoT). It defines IoT as a system of devices connected to the internet that can collect and exchange data without human intervention. These connected devices, called "things", include appliances, lights, security systems and more. The document outlines the IoT lifecycle of collecting data from sensors, communicating that data, analyzing it, and taking action. It also discusses challenges of IoT like sensing environments, connectivity, power usage, security, and complexity. The conclusion is that while complex, IoT can transform businesses and lives by connecting physical things to digital applications.
The document discusses HTML (Hypertext Markup Language) and how to format text and add images in HTML. It covers:
1. The basics of HTML including what it is, its structure with <html>, <head>, and <body> tags, and common elements like headings, paragraphs, line breaks, and horizontal rules.
2. How to format text using styles, colors, sizes, and other properties.
3. How to add images with the <img> tag specifying the image's src and alt attributes, and setting its size.
4. Ensuring images are in the same folder as the HTML file or specifying the path if elsewhere.
This document discusses the concepts of the Internet and World Wide Web (WWW). It explains that the Internet provides the framework for the WWW and that the WWW is a web of documents linked together that can be accessed using a web browser. It also outlines some basic web design principles like portability, accessibility, direction and white space. Finally, it discusses different web navigation models like linear, database and hierarchical models.
1. The document discusses the components and architecture of computers, including microprocessors, CPUs, memory, and I/O devices.
2. It describes the main components of a microcomputer as the CPU, memory, parallel I/O, serial I/O, programmable interrupt, and direct memory access. The CPU contains an arithmetic logic unit, control unit, and registers.
3. Memory types include cache memory, main memory, and secondary memory. Most computers use static random access memory for cache, dynamic random access memory for main memory, and hard disks for secondary memory.
An array is a collection of similar elements that are stored in contiguous memory locations. Arrays in C can have one or more dimensions. One-dimensional arrays are declared with the type of elements, name of the array, and number of elements within brackets (e.g. int marks[30]). Multi-dimensional arrays represent matrices and are declared with the number of rows and columns (e.g. int arr[5][10]). Individual elements within an array are accessed via indices (e.g. arr[2][7]). Pointers in C are related to arrays - the name of an array represents the address of its first element, and pointer arithmetic can be used to access successive elements in an array.
This document provides an overview of the IoT protocol stack, which extends the traditional TCP/IP layered model. It describes challenges at each layer, including link layer challenges related to device characteristics, traffic patterns, access methods, and scalability. Challenges at the internet layer for low-power lossy networks include resource constraints, energy optimization needs, traffic patterns, frame sizes, and unreliable connections. The application protocol layer must support data serialization formats, communication paradigms like request/response and publish/subscribe, and blocking versus non-blocking interactions. REST constraints for some application protocols are also outlined.
The document discusses analog vs digital signals in Arduino. It defines analog signals as continuously variable signals like temperature, while digital signals can only have discrete values like 1s and 0s. It explains that Arduino uses an analog-to-digital converter (ADC) to convert analog sensor output to digital values readable by the microcontroller. The ADC divides the analog range into discrete steps, returning a number between 0-1023. Functions like analogRead() are used to read analog pin values as digital numbers.
Here is the table with the characteristics of the given access technologies:
Access Technology | Wired/Wireless | Frequency Band | Topology | Range | Data Rate
-|-|-|-|-|-
IEEE 802.15.4 | Wireless | 2.4GHz ISM band | Star, Mesh | 10-100m | 20-250 kbps
IEEE 802.15.4g | Wireless | Sub-1GHz ISM bands | Star, Mesh | 100-1000m | 20-250 kbps
IEEE 1901.2a | Wired | Broadband over powerline | Star | Within building | Up to 500 Mbps
IEEE 802.11ah | Wireless | Sub-1GHz ISM bands |
This document discusses key concepts in IoT including sensing, actuation, and RFID. It defines transducers as devices that convert signals between different physical forms like sound, electricity, and motion. Sensors are described as devices that detect physical quantities and output a signal that is converted to human-readable form. Characteristics like accuracy, range, and sensitivity are discussed. Actuators are defined as devices that convert control signals into mechanical actions. Common actuator types include electric, fluid, and manual varieties. RFID technology is introduced as using radio waves to identify objects through tags and readers. Benefits of RFID for inventory management are outlined along with potential future applications.
This document provides an introduction to the C programming language. It discusses the history and development of C, including its creation at Bell Labs in 1972 and the standardization of ANSI C in 1988. The document also outlines key reasons for using C, such as efficiency, flexibility, support for low-level operations, and its role as a foundational language for other languages like C++ and Java. Finally, it provides an overview of the basic C development process from writing source code to compiling and linking programs.
The document discusses various components of the C language including variables, data types, operators, and input/output functions. It defines variables as memory locations identified by names that can store values. It describes different variable naming conventions and data types including primitive, derived, and user-defined types. The document also explains various arithmetic, relational, logical, and increment/decrement operators used to manipulate variable values. It provides examples of using printf() and scanf() functions for input and output.
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This PPT on "ChatGPT and DeepSeek: Which AI Tool Delivers Better User Experience?" provides a comparative analysis of the two AI tools, focusing on usability, interface design, customization, and overall user satisfaction.
It evaluates their strengths and weaknesses to determine which offers a superior experience.
For businesses seeking custom software development services in USA, choosing the right AI tool is essential for enhancing automation, customer interaction, and workflow efficiency.
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Tenorshare 4uKey Crack is a versatile software tool designed to help users bypass or remove various types of passwords and locks from iOS devices. It's primarily used to recover access to locked iPhones, iPads, or iPods without the need for a password or Apple ID. This software is particularly helpful when users forget their screen lock passcode, Face ID, Touch ID, or Apple ID password. It supports a wide range of iOS devices and works with various versions of iOS, making it a useful tool for iOS users in need of password recovery.
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John, a typical developer, used to dread writing tests, finding them boring and unnecessary. Test Driven Development (TDD)? Even worsehe couldnt see how it worked outside of basic exercises. But something clicked. Through his journey, John discovered the magic of writing tests before the production code: fewer bugs, quicker feedback, and cleaner code. Now, hes hooked and wont code any other way. This is the story of how TDD turned a skeptic into a believer.
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Chapter 1 of Computer Organization and Architecture by Patterson and Hennessy, often referred to as the "Computer Organization and Design" (COD) book, serves as an introduction to the fundamental concepts of computer systems. It lays the groundwork for understanding how computers are designed and how they operate at both the hardware and software levels. The chapter begins by explaining the importance of abstraction in computer design, highlighting how layers of abstraction simplify the complexity of modern computing systems. Abstraction allows designers and programmers to focus on specific levels of a system without needing to understand every detail of the underlying layers, making it easier to build, optimize, and maintain complex systems.
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Software test automation is transforming the way teams ensure product quality, making testing faster, more efficient, and highly reliable. This guide covers everything from the basics to advanced concepts, helping both beginners and experts optimize their testing processes. Youll explore various automation tools, frameworks, and best practices to improve test accuracy and speed up development cycles. With software test automation, organizations can minimize manual effort while enhancing test coverage. Whether you're just starting out or refining your existing automation strategies, this guide provides actionable insights and real-world examples to help you achieve success in automated testing.
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Projects Panama, Valhalla, and Babylon: Java is the New Python v0.9Yann-Ga谷l Gu辿h辿neuc
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Java has had a tremendous success and, in the last few years, has evolved quite significantly. However, it was still difficult to interface with libraries written in other programming language because of some complexity with JNI and some syntactic and semantic barriers. New projects to improve Java could help alleviate, even nullify, these barriers. Projects Panama, Valhalla, and Babylon exist to make it easier to use different programming and memory models in Java and to interface with foreign programming languages. This presentation describes the problem with the Java isthmus and the three projects in details, with real code examples. It shows how, combined, these three projects could make of Java the new Python.
5. What can Python do?
used on a server to create web applications
can also read and modify files.
can be used to handle big data and perform complex mathematics.
6. Python Syntax compared to other
programming languages
Python was designed for readability and has some similarities to the English
language with influence from mathematics.
Python uses new lines to complete a command, as opposed to other
programming languages which often use semicolons or parentheses.
Python relies on indentation, using whitespace, to define scope; such as the
scope of loops, functions and classes. Other programming languages often
use curly-brackets for this purpose.
8. What is syntax?
Syntax refers to the rules and structure that define how to write code in a specific language.
9. Python Indentation
Indentation refers to the spaces at the beginning of a code line.
Where in other programming languages the indentation in code is for readability
only, the indentation in Python is very important.
Python uses indentation to indicate a block of code.
10. Python Indentation
The number of spaces is up to you
as a programmer, the most common
use is four, but it has to be at least
one.
You have to use the same number
of spaces in the same block of code,
otherwise Python will give you an
error:
12. Why need to use comment?
explain Python
code.
make the code
more readable.
prevent
execution when
testing code.
13. Creating a comment
Comments starts with a #, and Python will
ignore them
Comments can be placed at the end of a
line, and Python will ignore the rest of the
line
A comment does not have to be text that
explains the code, it can also be used to
prevent Python from executing code
14. Multiline comments
Python does not really have a syntax
for multiline comments. To add a
multiline comment, you could insert a #
for each line:
add a multiline string (triple quotes)
17. Creating Variables
Python has no command for declaring a variable.
A variable is created the moment you first assign a
value to it.
Variables do not need to be declared with any
particular type, and can even change type after
they have been set.
18. Casting
If you want to specify the data type of a variable, this can be done with casting.
19. Get the type
You can get the data type of a variable with the type() function.
20. Variable Names
1. A variable can have a short name (like x and y) or a more descriptive name (age, carname,
total_volume). Rules for Python variables:
2. A variable name must start with a letter or the underscore character
3. A variable name cannot start with a number
4. A variable name can only contain alpha-numeric characters and underscores (A-z, 0-9, and _ )
5. Variable names are case-sensitive (age, Age and AGE are three different variables)
6. A variable name cannot be any of the Python keywords.