Python Programming Essentials - M29 - Python Interpreter and Files

Aug 19, 20142 likes1,267 views

The document discusses the Python interpreter and how it executes Python code. It explains that the Python interpreter consists of a bytecode compiler that converts human-readable Python code into machine-readable bytecode. It then uses a virtual machine to execute the bytecode. The interpreter can run code interactively to test it immediately or compile Python files (.py) into bytecode files (.pyc) for faster execution the next time the program is run.

http://www.skillbrew.com
/Skillbrew
Talent brewed by the
industry itself
Python interpreter and files
Pavan Verma
@YinYangPavan
Founder, P3 InfoTech Solutions Pvt. Ltd.
1
Python Programming Essentials

© SkillBrew http://skillbrew.com
Interpreter
 An interpreter is a computer program
which executes other programs.
 Python interpreter carries out
instructions in your program.
 Python interpreter can be used
interactively to test out instructions on
the fly. A good way to try little
experiments.
2

Most read

© SkillBrew http://skillbrew.com
A look under the hood (3)
• The virtual machine accepts the python
bytecode as input.
• And executes the virtual machine
instructions represented by the bytecode.
Source:
http://trizpug.org/Members/cbc/
wyntkap/compiler.html 7

© SkillBrew http://skillbrew.com
Resources
 http://trizpug.org/Members/cbc/wyntka
p/compiler.html
8

© SkillBrew http://skillbrew.com
>>> 'hey' * 2
'heyhey'
>>> 2 + 2
4
>>> 9/2
4
>>> 9//2
4
>>> colors = ['orange', 'red',
'yellow']
>>> colors
['orange', 'red', 'yellow']
>>> for color in colors:
color
'orange'
'red'
'yellow'
Try things in interpreter
and it will give back
results immediately. No
need to write separate
programs to learn new
features.
3

© SkillBrew http://skillbrew.com
pyc files
.pyc files are "Compiled" Python files”. Once a file is
compiled, Python executes the compiled file.
.pyc files are created when the .py file’s modification
time is different.
It’s good to keep .pyc files around, speeds up execution
when a program is ran again by avoiding compilation.
Python
File
*.py
Bytecode
*.pyc
Interpreter
uses *.pyc
file
4

© SkillBrew http://skillbrew.com
A look under the hood
 The python interpreter consists of two parts:
• A python bytecode compiler
• A virtual machine which executes Python
bytecode.
Source:
http://trizpug.org/Members/cbc/
wyntkap/compiler.html 5

© SkillBrew http://skillbrew.com
A look under the hood (2)
• The bytecode compiler accept human
readable python expressions and statements
as input.
• And produces machine-readable python
bytecode as output.
Source:
http://trizpug.org/Members/cbc/
wyntkap/compiler.html 6

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 pptMohita Pandey

Programming with PythonRasan Samarasinghe

Python basicSaifuddin Kaijar

Python is a versatile, object-oriented programming language that can be used for web development, data analysis, and more. It has a simple syntax and is easy to read and learn. Key features include being interpreted, dynamically typed, supporting functional and object-oriented programming. Common data types include numbers, strings, lists, dictionaries, tuples, and files. Functions and classes can be defined to organize and reuse code. Regular expressions provide powerful string manipulation. Python has a large standard library and is used widely in areas like GUIs, web scripting, AI, and scientific computing.

Python Tutorial Part 1Haitham El-Ghareeb

This document provides an agenda and overview for a Python tutorial presented over multiple sessions. The first session introduces Python and demonstrates how to use the Python interpreter. The second session covers basic Python data structures like lists, modules, input/output, and exceptions. An optional third session discusses unit testing. The document explains that Python is an easy to learn yet powerful programming language that supports object-oriented programming and high-level data structures in an interpreted, dynamic environment.

Basic Concepts in PythonSumit Satam

Intro to Pythonprimeteacher32

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.

Basics of pythonSurjeetSinghSurjeetS

Learn 90% of Python in 90 MinutesMatt Harrison

Python Programming Tutorial | EdurekaEdureka!

YouTube Link:https://youtu.be/CVv8zhYEjUE Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course This Edureka PPT on 'Python Programming' will help you learn Python programming basics with the help of interesting hands-on implementations. 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 Castbox: https://castbox.fm/networks/505?country=in

Python presentation by Monu SharmaMayank Sharma

This presentation provides an overview of Python, including: - Python is an interpreted, high-level and object-oriented programming language. - It has a simple syntax and is used for web, enterprise, and scientific applications by companies like Google, Facebook, and NASA. - Popular reasons for using Python include its readability, large standard library, cross-platform capabilities, and emphasis on code legibility with indentation.

Linux kernel architectureSHAJANA BASHEER

The document provides an overview of the Linux architecture including: 1) It discusses the history of Linux from its origins as a free UNIX-like operating system developed by Linus Torvalds to the over 18 million lines of code it contains today. 2) It describes the key components of the Linux system architecture including the hardware layer, kernel, shell, and utilities. The kernel acts as the core of the OS and interacts with hardware to perform low-level services. 3) It outlines several important kernel functions including file system management, process management and scheduling, memory management, and device drivers which allow communication with I/O devices through device files.

Python Programming pptismailmrribi

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.

Python basicsRANAALIMAJEEDRAJPUT

The document provides an overview of the Python programming language. It discusses that Python is an easy to learn, high-level, open-source programming language. It describes Python's design philosophy of code readability and how it allows programmers to express concepts in fewer lines of code compared to languages like C++ and Java. The document also discusses Python's powerful libraries, wide use across industries, and how to get started with Python programming using the IDLE integrated development environment.

Python Basicstusharpanda88

This document provides an introduction to the Python programming language. It covers Python's background, syntax, types, operators, control flow, functions, classes, tools, and IDEs. Key points include that Python is a multi-purpose, object-oriented language that is interpreted, strongly and dynamically typed. It focuses on readability and has a huge library of modules. Popular Python IDEs include Emacs, Vim, Komodo, PyCharm, and Eclipse.

Python Tutorial Part 2Haitham El-Ghareeb

This document provides an overview of key Python concepts: 1. Modules allow organizing Python code into files and namespaces. The file name is the module name with a .py extension. 2. Python code is compiled into bytecode cache files (.pyc) for improved performance. These files are platform independent. 3. Advanced optimizations can be applied to bytecode with command line flags, but may affect program functionality in rare cases. 4. Standard modules provide useful functions like dir() to inspect modules and packages for organizing code. Input/output, strings, files and exceptions are also covered.

Learning Python with PyCharm EDU Sergey Aganezov

This document discusses using PyCharm Edu for learning Python. PyCharm is an IDE that provides tools for Python development including code completion, error highlighting, frameworks for web development, scientific tools, and cross-technology development. The document lists some common uses of Python like web programming, GUI development, scientific computing, and system administration. It also summarizes some key features of Python like being an interpreted, object-oriented language with dynamic semantics and high-level data structures that make it good for rapid application development. PyCharm Edu offers courses in Python basics, unit testing, and cryptography. The document promotes attending an upcoming meeting to learn about Kotlin.

Introduction to the PythonBMS Institute of Technology and Management

The document provides an overview of the Python programming language, outlining that it is an interpreted, high-level and general-purpose language used across many domains with a large standard library and is open source; it also discusses Python's features such as being object-oriented, portable across platforms, powerful through libraries like NumPy and SciPy, and how it is used widely in industries like Google, YouTube, and more. The course covers Python application programming with details on credits, exam structure, what Python is, how it runs, popular IDEs, and its uses in different engineering branches.

Python: Modules and PackagesDamian T. Gordon

Modules in Python allow organizing classes into files to make them available and easy to find. Modules are simply Python files that can import classes from other modules in the same folder. Packages allow further organizing modules into subfolders, with an __init__.py file making each subfolder a package. Modules can import classes from other modules or packages using either absolute or relative imports, and the __init__.py can simplify imports from its package. Modules can also contain global variables and classes to share resources across a program.

Beginning Python ProgrammingSt. Petersburg College

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.

FlaskMamta Kumari

Flask is a micro web framework written in Python that allows developers to create web applications and APIs quickly. It is lightweight and extensible, allowing developers to add additional functionality through extensions. Flask applications are easy to get started with - they can be created with just a few lines of code. Common features like unit testing, database support, and template rendering are supported out of the box or through extensions.

Android jetpack compose | Declarative UI Ajinkya Saswade

Jetpack Compose is Android's new modern toolkit for building native UI using less code and powerful Kotlin APIs. It is inspired by React, Litho, Vue.js and Flutter but written completely in Kotlin. Compose aims to simplify and reduce code by separating concerns through a declarative paradigm instead of the traditional imperative view approach. It uses a gap buffer data structure to efficiently manage changes to UI over time in a reactive way. While still in developer preview, Compose shows promise for improving the Android UI development experience.

Introduction to the basics of Python programming (part 1)Pedro Rodrigues

Object Oriented ProgrammingArmy Public School and College -Faisal

This document discusses key concepts of object-oriented design and programming. It defines object-oriented design as planning a system of interacting objects to solve software problems. It describes object-oriented programming as representing concepts as objects that have data fields and methods. The document outlines some key pillars of object-oriented programming including inheritance, which allows code reuse; encapsulation, which protects data; and access modifiers like public, private, and protected, which control object accessibility.

PythonLearnbay Datascience

Python대갑 김

1. Python can be used to automate repetitive tasks like data entry, file processing, report generation etc. This saves time and reduces human errors. 2. Python has many libraries for machine learning, data analysis and visualization which can be used to analyze patent data, identify trends, cluster similar technologies etc. 3. Web scraping and web development frameworks like Django can be used to build internal tools and dashboards to manage workflows more efficiently. 4. Python scripts can be written to extract and process data from various sources, perform calculations, format reports in a standardized way reducing manual efforts.

Graphics Programming in C under GNU Linux (Ubuntu distribution)Tushar B Kute

This document discusses how to set up graphics programming in C using SDL and libgraph libraries on Ubuntu Linux. It explains that SDL is a cross-platform multimedia library for accessing graphics, sound and input devices across platforms, while libgraph implements the Turbo C graphics API using SDL. It then provides step-by-step instructions on installing prerequisite packages, downloading and compiling libgraph, and compiling a sample C program to draw a circle using the libgraph library.

Introduction to PythonNowell Strite

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.

Python Programming Essentials - M2 - Introduction to PythonP3 InfoTech Solutions Pvt. Ltd.

This document provides an introduction to the Python programming language. It discusses Python's brief history and key features like being easy to learn, having a powerful standard library, and being portable. It also outlines common uses of Python, such as web development, scientific computing, and databases. Popular projects built with Python like Reddit and Instagram are mentioned. The document compares Python to other languages and provides an overview of the Python interpreter and standard library.

More Related Content

What's hot (20)

Basics of pythonSurjeetSinghSurjeetS

Learn 90% of Python in 90 MinutesMatt Harrison

Python Programming Tutorial | EdurekaEdureka!

Python presentation by Monu SharmaMayank Sharma

Linux kernel architectureSHAJANA BASHEER

Python Programming pptismailmrribi

Python basicsRANAALIMAJEEDRAJPUT

Python Basicstusharpanda88

Python Tutorial Part 2Haitham El-Ghareeb

Learning Python with PyCharm EDU Sergey Aganezov

Introduction to the PythonBMS Institute of Technology and Management

Python: Modules and PackagesDamian T. Gordon

Beginning Python ProgrammingSt. Petersburg College

FlaskMamta Kumari

Android jetpack compose | Declarative UI Ajinkya Saswade

Introduction to the basics of Python programming (part 1)Pedro Rodrigues

Object Oriented ProgrammingArmy Public School and College -Faisal

PythonLearnbay Datascience

Python대갑 김

Graphics Programming in C under GNU Linux (Ubuntu distribution)Tushar B Kute

Basics of pythonSurjeetSinghSurjeetS

Learn 90% of Python in 90 MinutesMatt Harrison

Python Programming Tutorial | EdurekaEdureka!

Python presentation by Monu SharmaMayank Sharma

Linux kernel architectureSHAJANA BASHEER

Python Programming pptismailmrribi

Python basicsRANAALIMAJEEDRAJPUT

Python Basicstusharpanda88

Python Tutorial Part 2Haitham El-Ghareeb

Learning Python with PyCharm EDU Sergey Aganezov

Introduction to the PythonBMS Institute of Technology and Management

Python: Modules and PackagesDamian T. Gordon

Beginning Python ProgrammingSt. Petersburg College

FlaskMamta Kumari

Android jetpack compose | Declarative UI Ajinkya Saswade

Introduction to the basics of Python programming (part 1)Pedro Rodrigues

Object Oriented ProgrammingArmy Public School and College -Faisal

PythonLearnbay Datascience

Python대갑 김

Graphics Programming in C under GNU Linux (Ubuntu distribution)Tushar B Kute

Viewers also liked (14)

Introduction to PythonNowell Strite

Python Programming Essentials - M2 - Introduction to PythonP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M37 - Brief Overview of Misc ConceptsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M25 - os and sys modulesP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M35 - Iterators & GeneratorsP3 InfoTech Solutions Pvt. Ltd.

The document discusses iterators and generators in Python. It explains that iterators are objects that can be used in for loops over iterable objects like lists, strings, and dictionaries. Generators are functions that produce a sequence of results using yield statements, making them iterators as well. The document provides examples of using built-in iterators, implementing custom iterators as classes, and creating generator functions and expressions.

Python Programming Essentials - M39 - Unit TestingP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M28 - Debugging with pdbP3 InfoTech Solutions Pvt. Ltd.

The document introduces the Python debugger (pdb) which allows developers to pause a Python program, examine variables, and step through code line-by-line or function-by-function. Pdb can be started from the command line using "python -m pdb filename" or by inserting "import pdb; pdb.set_trace()" in the code. The document describes common pdb commands like list, where, step, next, up and down that allow debugging and navigating the call stack.

Python Programming Essentials - M40 - Invoking External ProgramsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M31 - PEP 8P3 InfoTech Solutions Pvt. Ltd.

The document discusses Python coding style guidelines known as PEP 8. It covers topics like code layout, indentation, whitespace, naming conventions and use of the pep8 tool. The key points are that code readability is important, indentation should use spaces, line length should be limited to 79 chars and variable/function names should be descriptive. It recommends referring to the PEP 8 style guide and using the pep8 tool to check code adherence.

Python Programming Essentials - M34 - List ComprehensionsP3 InfoTech Solutions Pvt. Ltd.

This document discusses Python list comprehensions, which provide a concise way to generate new lists from existing lists. It covers the basic syntax of list comprehensions, using filters to apply conditions, and nesting loops to generate lists of tuples from multi-dimensional data like matrices. Examples are given to demonstrate how list comprehensions can replace traditional for loops for generating new lists in a more compact and Pythonic way.

Python Programming Essentials - M5 - VariablesP3 InfoTech Solutions Pvt. Ltd.

This document provides an introduction to variables in Python. It defines a variable as a memory location that stores a value, and notes that variables can store different data types. It demonstrates assigning values to variables, including multiple assignments in one statement. The document also discusses Python's dynamic typing, variable naming rules, and reserved keywords. It provides examples of built-in data types like integers, strings, lists, tuples and dictionaries. Finally, it lists some additional resources for learning more about variables and data types in Python.

Python Programming Essentials - M44 - Overview of Web DevelopmentP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M27 - Logging moduleP3 InfoTech Solutions Pvt. Ltd.

Logging is used to track events that occur when software runs. It provides descriptive messages and optional variable data for each event. The Python logging module provides convenience functions for logging. There are different logging levels ranging from DEBUG to CRITICAL depending on the severity of the event. Logging can be configured to log to files and allow setting the logging level and format of logged messages.

Scalable web application architecturepostrational

Introduction to PythonNowell Strite

Python Programming Essentials - M2 - Introduction to PythonP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M37 - Brief Overview of Misc ConceptsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M25 - os and sys modulesP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M35 - Iterators & GeneratorsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M39 - Unit TestingP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M28 - Debugging with pdbP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M40 - Invoking External ProgramsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M31 - PEP 8P3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M34 - List ComprehensionsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M5 - VariablesP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M44 - Overview of Web DevelopmentP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M27 - Logging moduleP3 InfoTech Solutions Pvt. Ltd.

Scalable web application architecturepostrational

Similar to Python Programming Essentials - M29 - Python Interpreter and Files (20)

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.

WEB PROGRAMMING UNIT VIII BY BHAVSINGH MALOTHBhavsingh Maloth

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.

MODULE 1.pptxKPDDRAVIDIAN

The type of a value refers to the kind of data it represents. In Python, the main types are: - int - integer numbers like 1, 2, 100 - float - floating point numbers like 1.5, 3.14159 - str - strings, sequences of characters like 'hello' - bool - boolean values True or False When you write code, Python assigns a type to each value. The type determines how it can be used and what operations are valid on it. For example, you can add two integers but not add an integer to a string. Checking and understanding types is important for writing correct Python code.

Module1-Chapter1_ppt.pptxSandeepR95

Introducing-the-Python-Interpreter. What is Python InterpreterSHASHIKANT346021

Python is an interpreted language developed by Guido van Rossum in the year of 1991. As we all know Python is one of the most high-level languages used today because of its massive versatility and portable library & framework features. It is an interpreted language because it executes line-by-line instructions. There are actually two way to execute python code one is in Interactive mode and another thing is having Python prompts which is also called script mode. Python does not convert high level code into low level code as many other programming languages do rather it will scan the entire code into something called bytecode. every time when Python developer runs the code and start to execute the compilation part execute first and then it generate an byte code which get converted by PVM Python Virtual machine that understand the analogy and give the desired output

Python_Programming_PPT Basics of python programming languageearningmoney9595

Python Lecture 1Inzamam Baig

Py-Slides-1.ppt1234444444444444444444444444444444444444444divijareddy0502

program on python what is python where it was started by whom startedrajkumarmandal9391

Python slides for the beginners to learnkrishna43511

Python Over View (Python for mobile app Devt)1.pptAbdurehmanDawud

Py-Slides-1.pptPy-Slides-1.pptPy-Slides-1.pptPy-Slides-1.pptv65176016

Introduction to python.pptxpcjoshi02

Chapter 2: Basics of programming pyton programmingbiniyamtiktok

Python Mastery: A Comprehensive Guide to Setting Up Your Development EnvironmentPython Devloper

**Module 1: Python Environment Setup Essentials** Python, with its versatility and ease of use, has become a powerhouse in various domains, from web development to data science. Before diving into the fascinating world of Python programming, it's crucial to set up the right environment. This module serves as a comprehensive guide to ensure a seamless and efficient Python environment setup. **1.1 Understanding Python Environments** Python offers multiple environments to cater to diverse development needs. The choice between Python 2 and Python 3, as well as the decision between Anaconda and the standard Python distribution, depends on project requirements. This section provides a nuanced understanding of these options, enabling developers to make informed decisions. **1.2 Installing Python** The first step in setting up a Python environment is installing the interpreter. This module guides users through the installation process, whether on Windows, macOS, or Linux. It covers best practices, troubleshooting common installation issues, and ensuring a clean, stable Python installation. **1.3 Virtual Environments** Virtual environments are indispensable for managing dependencies and isolating project environments. This section explores the creation, activation, and deactivation of virtual environments using tools like `venv` or `virtualenv`. It emphasizes the importance of encapsulating project dependencies to avoid conflicts and ensure reproducibility. **1.4 Package Management with pip** The Python Package Index (PyPI) is a treasure trove of libraries and tools. Understanding how to use the `pip` package manager is crucial for installing, upgrading, and managing project dependencies. This section delves into pip commands, requirement files, and strategies for version management to maintain a stable and consistent development environment. **1.5 Integrated Development Environments (IDEs)** Choosing the right IDE can significantly enhance productivity. This module explores popular Python IDEs like PyCharm, VSCode, and Jupyter Notebooks. It covers installation, basic configuration, and features that cater to different development styles, whether it's web development, data science, or general-purpose coding. **1.6 Version Control Integration** Version control is a developer's best friend. This section demonstrates how to integrate Python projects with version control systems like Git. From initializing a repository to committing changes and collaborating with a team, developers learn essential version control practices to streamline their workflow. **1.7 Configuration and Customization** Tailoring the Python environment to individual preferences is an often-overlooked aspect of setup. This part of the module covers customizing the Python shell, configuring environment variables, and optimizing settings in IDEs. A personalized environment can significantly enhance the development experience. **1.8 Troubleshooting and Common Pitfalls** No s

problem solving and python programming UNIT 2.pdfrajesht522501

Problem Solving and Python Programming UNIT 2.pdfrajesht522501

Py-Slides- easuajsjsjejejjwlqpqpqpp1.pdfshetoooelshitany74

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.

notwa dfdfvs gf fdgfgh s thgfgh frg regggGodwin585235

جلسه اول پایتون برای هکر های قانونی دوره مقدماتی پاییز ۹۲Mohammad Reza Kamalifard

Python Book/Notes For Python Book/Notes For S.Y.B.Sc. I.T.Niraj Bharambe

WEB PROGRAMMING UNIT VIII BY BHAVSINGH MALOTHBhavsingh Maloth

MODULE 1.pptxKPDDRAVIDIAN

Module1-Chapter1_ppt.pptxSandeepR95

Introducing-the-Python-Interpreter. What is Python InterpreterSHASHIKANT346021

Python_Programming_PPT Basics of python programming languageearningmoney9595

Python Lecture 1Inzamam Baig

Py-Slides-1.ppt1234444444444444444444444444444444444444444divijareddy0502

program on python what is python where it was started by whom startedrajkumarmandal9391

Python slides for the beginners to learnkrishna43511

Python Over View (Python for mobile app Devt)1.pptAbdurehmanDawud

Py-Slides-1.pptPy-Slides-1.pptPy-Slides-1.pptPy-Slides-1.pptv65176016

Introduction to python.pptxpcjoshi02

Chapter 2: Basics of programming pyton programmingbiniyamtiktok

Python Mastery: A Comprehensive Guide to Setting Up Your Development EnvironmentPython Devloper

problem solving and python programming UNIT 2.pdfrajesht522501

Problem Solving and Python Programming UNIT 2.pdfrajesht522501

Py-Slides- easuajsjsjejejjwlqpqpqpp1.pdfshetoooelshitany74

notwa dfdfvs gf fdgfgh s thgfgh frg regggGodwin585235

جلسه اول پایتون برای هکر های قانونی دوره مقدماتی پاییز ۹۲Mohammad Reza Kamalifard

More from P3 InfoTech Solutions Pvt. Ltd. (19)

Python Programming Essentials - M24 - math moduleP3 InfoTech Solutions Pvt. Ltd.

This document provides an overview of the math module in Python. It demonstrates how to import the math module and use common mathematical constants like pi and e. It also shows various math functions for calculating ceilings, floors, factorials, powers, square roots, logarithms, exponents, and converting between radians and degrees. The document contains examples of using these math functions and provides a brief description of their usage.

Python Programming Essentials - M23 - datetime moduleP3 InfoTech Solutions Pvt. Ltd.

The document is about Python's datetime module. It introduces the module and the key classes it contains for manipulating dates and times, including Date, Time, and DateTime objects. It shows how to create datetime objects from these classes, extract attributes like year and hour, and perform operations like adding or subtracting days to manipulate dates. Examples are provided demonstrating common datetime tasks in Python like printing dates in different formats, finding today's date, and comparing datetime objects.

Python Programming Essentials - M22 - File OperationsP3 InfoTech Solutions Pvt. Ltd.

This document discusses various methods for reading and writing files in Python, including open(), read(), readline(), readlines(), write(), seek(), and tell(). It provides examples of opening files, reading the contents, writing new text, and changing the file position. The open() function is used to open a file and return a file object, which then has various methods that can be called to perform operations on the file.

Python Programming Essentials - M21 - Exception HandlingP3 InfoTech Solutions Pvt. Ltd.

This document discusses exception handling in Python. It explains that exceptions are errors that occur during program execution and can be handled using try, except, and raise keywords. The document covers throwing exceptions, catching exceptions using try/except blocks, propagating exceptions, using try/except/else and try/except/finally, and some common built-in Python exceptions. It also provides an example of defining a custom exception class.

Python Programming Essentials - M20 - Classes and ObjectsP3 InfoTech Solutions Pvt. Ltd.

This document discusses classes and objects in Python. It defines a Calculator class and demonstrates how to create class attributes, methods, and instances. It explains the __init__ method, self keyword, and how to access attributes and methods. It also covers data attributes versus class attributes, inheritance, method overriding, and calling parent methods. The document provides examples to illustrate these object-oriented programming concepts in Python.

Python Programming Essentials - M19 - Namespaces, Global Variables and Docstr...P3 InfoTech Solutions Pvt. Ltd.

This document discusses namespaces, global variables, and docstrings in Python. It explains that namespaces are like dictionaries that keep track of variable names and values. There are local, global, and built-in namespaces. Variables defined outside functions are global and can be accessed from anywhere, but reassigned locally without changing the global value unless declared global. Docstrings provide documentation for modules, functions, classes and are accessed with object.__doc__.

Python Programming Essentials - M18 - Modules and PackagesP3 InfoTech Solutions Pvt. Ltd.

Modules allow organizing Python code into reusable files. The import statement accesses modules, with import module accessing all attributes and from module import function accessing specific functions. Packages are directories containing modules, allowing related modules to be grouped. The __name__ attribute determines if a module is run directly or imported, allowing main blocks to execute code when run directly but not on import.

Python Programming Essentials - M17 - FunctionsP3 InfoTech Solutions Pvt. Ltd.

The document discusses the basics of functions in Python, including what a function is, the advantages of using functions, how to define and call functions, and how to use parameters, return values, global variables, default arguments, keyword arguments, and docstrings when working with functions. Key points covered include how functions allow code reuse and decomposition of complex problems, how to define a function using the def keyword, how to call a defined function by name, and how docstrings provide documentation for functions and other objects.

Python Programming Essentials - M16 - Control Flow Statements and LoopsP3 InfoTech Solutions Pvt. Ltd.

This document discusses Python control flow statements and built-in constants. It covers truth value testing in Python, including objects considered False. It also covers if/elif/else statements, for loops, while loops, and the break, continue, and pass statements. The range function is described for generating numeric sequences, and the zip function is shown pairing multiple iterables. Built-in constants like True, False, and None are also summarized.

Python Programming Essentials - M15 - ReferencesP3 InfoTech Solutions Pvt. Ltd.

Skillbrew provides online courses and tutorials on software development and programming topics. The website is created and maintained by industry experts to share their knowledge and skills. References are an important concept in programming - when a variable is assigned to an object, it refers to that object but does not represent the object itself, so changes made through one variable are reflected in others referring to the same object.

Python Programming Essentials - M14 - DictionariesP3 InfoTech Solutions Pvt. Ltd.

Dictionaries in Python are used to store data values in key-value pairs. A dictionary is created using curly braces {} with keys and their corresponding values separated by colons. Values can be accessed using their keys and dictionaries can be iterated over to access both keys and values. Common uses of dictionaries include storing contact information with name, phone, email as keys and values. Keys must be immutable objects like strings or numbers.

Python Programming Essentials - M13 - TuplesP3 InfoTech Solutions Pvt. Ltd.

The document discusses tuples in Python. It defines a tuple as an immutable sequence of items similar to a list. It provides examples of creating tuples using parentheses or packing, unpacking tuples into variables, accessing tuple elements by index, tuples with a single element requiring a trailing comma, common tuple operations like length, concatenation and slicing, and how tuples differ from lists in being immutable. It also covers converting between tuples and lists, and using tuples to return multiple values from functions.

Python Programming Essentials - M12 - ListsP3 InfoTech Solutions Pvt. Ltd.

The document discusses Python lists, which are ordered collections of items of any data type. It describes how to create, access, and modify lists using various functions and operations like append, insert, remove, sort, and slice. These include adding/removing elements, sorting/reversing lists, using lists as stacks with push/pop, and extracting sublist sections. The document provides examples of creating lists with different syntax, accessing elements by index, and using common list methods for operations.

Python Programming Essentials - M11 - Comparison and Logical OperatorsP3 InfoTech Solutions Pvt. Ltd.

This document discusses Python operators such as comparison operators, logical operators, bitwise operators, shorthand operators, increment and decrement operators, and operator precedence. Comparison operators (>, <, ==, etc.) are used to compare values, logical operators (and, or, not) are used to combine conditional statements, and bitwise operators perform bit-level operations. Shorthand operators provide a concise way to perform operations like assignment, and operator precedence determines the order in which operations are performed.

Python Programming Essentials - M10 - Numbers and Artihmetic OperatorsP3 InfoTech Solutions Pvt. Ltd.

This document discusses numbers and arithmetic operators in Python. It covers number types like integers, floats, and complexes. It also describes common arithmetic operations like addition, subtraction, multiplication, division, exponents, and modulus. The document explains how to convert integers to binary, octal, and hexadecimal representations. Finally, it introduces bitwise operators and how they can be used to perform operations like AND, OR, XOR, left and right shifts, and one's complement.

Python Programming Essentials - M9 - String FormattingP3 InfoTech Solutions Pvt. Ltd.

This document discusses string formatting in Python. It explains that Python uses placeholders like %s and %d to format strings with values. The % operator method of string formatting is deprecated in Python 3 and the str.format() method is recommended instead. The format() method allows accessing formatting arguments by position or name to customize the order and labels of values in formatted strings.

Python Programming Essentials - M8 - String MethodsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M7 - StringsP3 InfoTech Solutions Pvt. Ltd.

Strings in Python are sequences of characters that can be manipulated and accessed using indexes and slicing operations. A string's individual characters can be accessed using indexes like str[0], with negative indexes counting backwards from the end. The length of a string can be found using len(str). Strings are immutable but their values can be reassigned. Strings can be concatenated with + and checked for substrings with the in operator. They support various quote styles and multiline strings using triple quotes.

Python Programming Essentials - M6 - Code Blocks and IndentationP3 InfoTech Solutions Pvt. Ltd.

This document discusses Python statements, code blocks, and indentation. It notes that statements in Python are typically written on individual lines, but can span multiple lines using line continuation characters or parentheses. Code blocks, like if/else statements and functions, are defined by indentation rather than brackets - any indented code will be executed as part of the code block. Indentation is significant in Python and code blocks must be indented consistently using spaces.

Python Programming Essentials - M24 - math moduleP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M23 - datetime moduleP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M22 - File OperationsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M21 - Exception HandlingP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M20 - Classes and ObjectsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M19 - Namespaces, Global Variables and Docstr...P3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M18 - Modules and PackagesP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M17 - FunctionsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M16 - Control Flow Statements and LoopsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M15 - ReferencesP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M14 - DictionariesP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M13 - TuplesP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M12 - ListsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M11 - Comparison and Logical OperatorsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M10 - Numbers and Artihmetic OperatorsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M9 - String FormattingP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M8 - String MethodsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M7 - StringsP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M6 - Code Blocks and IndentationP3 InfoTech Solutions Pvt. Ltd.

Python Programming Essentials - M29 - Python Interpreter and Files

1. http://www.skillbrew.com /Skillbrew Talent brewed by the industry itself Python interpreter and files Pavan Verma @YinYangPavan Founder, P3 InfoTech Solutions Pvt. Ltd. 1 Python Programming Essentials

2. © SkillBrew http://skillbrew.com Interpreter  An interpreter is a computer program which executes other programs.  Python interpreter carries out instructions in your program.  Python interpreter can be used interactively to test out instructions on the fly. A good way to try little experiments. 2

3. © SkillBrew http://skillbrew.com >>> 'hey' * 2 'heyhey' >>> 2 + 2 4 >>> 9/2 4 >>> 9//2 4 >>> colors = ['orange', 'red', 'yellow'] >>> colors ['orange', 'red', 'yellow'] >>> for color in colors: color 'orange' 'red' 'yellow' Try things in interpreter and it will give back results immediately. No need to write separate programs to learn new features. 3

4. © SkillBrew http://skillbrew.com pyc files .pyc files are "Compiled" Python files”. Once a file is compiled, Python executes the compiled file. .pyc files are created when the .py file’s modification time is different. It’s good to keep .pyc files around, speeds up execution when a program is ran again by avoiding compilation. Python File *.py Bytecode *.pyc Interpreter uses *.pyc file 4

5. © SkillBrew http://skillbrew.com A look under the hood  The python interpreter consists of two parts: • A python bytecode compiler • A virtual machine which executes Python bytecode. Source: http://trizpug.org/Members/cbc/ wyntkap/compiler.html 5

6. © SkillBrew http://skillbrew.com A look under the hood (2) • The bytecode compiler accept human readable python expressions and statements as input. • And produces machine-readable python bytecode as output. Source: http://trizpug.org/Members/cbc/ wyntkap/compiler.html 6

7. © SkillBrew http://skillbrew.com A look under the hood (3) • The virtual machine accepts the python bytecode as input. • And executes the virtual machine instructions represented by the bytecode. Source: http://trizpug.org/Members/cbc/ wyntkap/compiler.html 7

8. © SkillBrew http://skillbrew.com Resources  http://trizpug.org/Members/cbc/wyntka p/compiler.html 8

Python Programming Essentials - M29 - Python Interpreter and Files

Recommended

More Related Content

What's hot (20)

Viewers also liked (14)

Similar to Python Programming Essentials - M29 - Python Interpreter and Files (20)

More from P3 InfoTech Solutions Pvt. Ltd. (19)

Python Programming Essentials - M29 - Python Interpreter and Files