Python is an easy to learn programming language that is widely used for a variety of tasks. It has a simple syntax that allows developers to focus on solving problems rather than dealing with complex language features. Python code can be written quickly and read easily by others. It also has a large ecosystem of libraries and frameworks that support application development, data science, machine learning, and more. While not the fastest language, Python makes up for it with versatility and the ability to connect different systems through its "glue" programming capabilities.
Learning and Leveraging Python When You Know MATLAB
Alongside MATLAB, Python has become a language of choice for data scientists. Firms that utilize MATLAB can also use Python to supplement their software development efforts, or they can consider moving to the Python platform. This article provides a thorough, yet quickly-read introduction to Python, targeted to MATLAB programmers. The article introduces the core features and elements of the Python language, discusses important packages to extend Python's standard library, and shows how to replicate a MATLAB programming environment.
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Top python interview question and answerAnkita Singh
Python is a programming language with objects, modules, threads, exceptions and automatic memory management. The benefits of pythons are that it is simple and easy, portable, extensible, build-in data structure and it is an open source.
Python is a basic term for the programming language which anyone can generally work. in this blog, you briefly learn about benefits & Advantages and disadvantages of python
Learning and Leveraging Python When You Know MATLAB
Alongside MATLAB, Python has become a language of choice for data scientists. Firms that utilize MATLAB can also use Python to supplement their software development efforts, or they can consider moving to the Python platform. This article provides a thorough, yet quickly-read introduction to Python, targeted to MATLAB programmers. The article introduces the core features and elements of the Python language, discusses important packages to extend Python's standard library, and shows how to replicate a MATLAB programming environment.
Learn Python in Pune & PCMC from top training institutes.Get detailed information on best institutes, fees, coaching quality, duration, syllabus, placement services, photos, maps, user ratings & reviews in Pune.
Top python interview question and answerAnkita Singh
Python is a programming language with objects, modules, threads, exceptions and automatic memory management. The benefits of pythons are that it is simple and easy, portable, extensible, build-in data structure and it is an open source.
Python is a basic term for the programming language which anyone can generally work. in this blog, you briefly learn about benefits & Advantages and disadvantages of python
Python is a high-level language programming, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable.
Hard to figure out which one is better between Julia & Python? Here's a detailed comparison between #JuliaLang vs #Python
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this presentation will walk you through basic introduction to python, major features of python, how python runs on our system and some important commands used in python.
Python is a high-level language programming, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable.
Hard to figure out which one is better between Julia & Python? Here's a detailed comparison between #JuliaLang vs #Python
#programming #Coding #Software #developer #technology #tech
this presentation will walk you through basic introduction to python, major features of python, how python runs on our system and some important commands used in python.
Python is a versatile and widely-used high-level programming language known for its simplicity, readability, and extensive library support. Created by Guido van Rossum and first released in 1991, Python has since gained immense popularity across various domains, including web development, data science, scientific computing, artificial intelligence, and more. In this comprehensive description, we'll delve into Python's history, features, applications, and its vibrant community, highlighting why it continues to be a preferred choice for developers worldwide.
Table of Contents
Introduction to Python
Python's History and Evolution
Python's Key Features
3.1. Readability and Simplicity
3.2. High-level Language
3.3. Interpreted and Dynamic
3.4. Cross-platform Compatibility
3.5. Rich Standard Library
3.6. Community Support
Python's Application Domains
4.1. Web Development
4.2. Data Science and Machine Learning
4.3. Scientific Computing
4.4. Automation and Scripting
4.5. Game Development
4.6. Desktop Applications
Python Development Environments
5.1. IDLE
5.2. PyCharm
5.3. Jupyter Notebook
5.4. Visual Studio Code
Getting Started with Python
6.1. Installing Python
6.2. Your First Python Program
Python Syntax and Basic Concepts
7.1. Variables and Data Types
7.2. Conditional Statements
7.3. Loops
7.4. Functions
7.5. Exception Handling
Working with Python Libraries
8.1. NumPy
8.2. Pandas
8.3. Matplotlib
8.4. Scikit-Learn
Python and Web Development
9.1. Frameworks (Django, Flask)
9.2. Front-end Integration (HTML/CSS)
9.3. Database Interaction (SQL, NoSQL)
Python in Data Science
10.1. Data Analysis with Pandas
10.2. Data Visualization with Matplotlib and Seaborn
10.3. Machine Learning with Scikit-Learn
10.4. Deep Learning with TensorFlow and PyTorch
Scientific Computing with Python
11.1. Scientific Libraries (SciPy, SymPy)
11.2. Plotting and Visualization (Matplotlib)
Automation and Scripting
12.1. Automating Tasks
12.2. Scripting for System Administration
Game Development with Python
13.1. Pygame
13.2. Unity and Unreal Engine Integration
Desktop Applications with Python
14.1. Tkinter
14.2. PyQt
Python's Ecosystem and Package Management
Python Best Practices
16.1. Code Readability (PEP 8)
16.2. Documentation and Comments
16.3. Testing (Unit Testing, pytest)
16.4. Version Control (Git)
Python's Future and Trends
Conclusion
1. Introduction to Python
Python is a general-purpose, high-level programming language that was designed with a focus on code readability and simplicity. It uses an elegant and straightforward syntax that makes it easy for developers to express their ideas effectively, reducing the cost of program maintenance. Python's philosophy emphasizes the importance of code clarity and readability, which is encapsulated in the Zen of Python (PEP 20).
The language has gained immense popularity due to its versatility and a rich ecosystem of libraries and frameworks. Python is renowned for its vibrant community and extensive documentation, making it in p
Certainly! Here's a detailed 3000-word description of Python:
# Python: A Comprehensive Overview
Python is a high-level, versatile, and dynamically-typed programming language known for its simplicity and readability. Created by Guido van Rossum in the late 1980s, Python has since become one of the most popular programming languages worldwide. In this comprehensive overview, we will delve into the key aspects of Python, from its history and design philosophy to its syntax, libraries, and real-world applications.
## **History and Evolution of Python**
Python's history dates back to December 1989 when Guido van Rossum, a Dutch programmer, began working on it as a side project during his Christmas holidays. His aim was to create a language that emphasized code readability and allowed developers to express their ideas in fewer lines of code compared to other languages like C++ or Perl.
The first official Python release, Python 0.9.0, was released in February 1991. Python's name was inspired by Guido's love for the British comedy group Monty Python. Despite its humorous origins, Python quickly gained popularity in the software development community.
Python's major versions include Python 1.0 (1994), Python 2.0 (2000), Python 3.0 (2008), and the subsequent 3.x releases. The transition from Python 2 to Python 3 was a significant milestone in Python's history, as it involved breaking compatibility with Python 2 to introduce improvements and address some language inconsistencies. Python 2 reached its end of life on January 1, 2020, and Python 3 is now the standard and recommended version for new projects.
## **Design Philosophy: The Zen of Python**
Python's success can be attributed, in part, to its clear and guiding design principles, often referred to as "The Zen of Python" or "PEP 20" (Python Enhancement Proposal 20). These principles encapsulate the language's philosophy and provide a framework for writing clean, readable, and maintainable code. Some notable principles from "The Zen of Python" include:
- **Readability Counts:** Code should be easy to read and understand. Python's syntax enforces this with its use of indentation for block structure.
- **Simple is Better Than Complex:** Python encourages simplicity in both code design and implementation. It favors straightforward solutions over convoluted ones.
- **Explicit is Better Than Implicit:** Code should be explicit and not rely on hidden or magical behavior. This principle promotes code clarity and predictability.
- **There Should Be One-- and Preferably Only One --Obvious Way to Do It:** Python aims to provide a single, clear way to perform a specific task to reduce confusion and make code more consistent.
- **Errors Should Never Pass Silently:** Python encourages robust error handling and reporting to help developers identify and fix issues promptly.
## **Python Syntax and Language Features**
Python's syntax is known for its simplicity and readability. Here are some key languag
Welcome to our comprehensive Python tutorial, designed to take you on an exciting journey into the world of Python programming. Whether you are a complete beginner or an experienced developer looking to expand your skills, this tutorial is your gateway to mastering one of the most popular programming languages in the world.
In this tutorial, we'll start with the basics, exploring Python's syntax, data types, variables, and control structures. You'll learn how to write your first Python programs and understand the core concepts that form the foundation of the language.
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Get ready to embark on a rewarding journey of learning and exploration with our Python tutorial. Let's dive in and unlock the endless possibilities that Python has to offer!
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Migration of Applications to Python is the most prudent DecisionMindfire LLC
Python is one of the top 10 most popular programming languages of 2021, according to the latest PYPL Index. It’s a no-brainer that if you want your software to perform better in the long run- Python is the best choice. If you use a different language for your applications, you can consider moving your applications to Python.
7 Benefits of Using Python Programming Language.pptxSurendra Singh
Discover the Benefits of Using Python. why Python has become among developers worldwide. With its intuitive syntax, extensive support for various domains, and seamless integration capabilities.
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Overall, Python's combination of simplicity, versatility, and extensibility makes it a preferred choice for development in a wide range of domains, from web applications to scientific computing and machine learning.
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The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
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In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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Overview on Edible Vaccine: Pros & Cons with Mechanism
What is python
1. What is Python? Powerful,
intuitive programming
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2. • Python is easy to learn and use
The number of features in the language itself is modest, requiring
relatively little investment of time or effort to produce your first
programs. The Python syntax is designed to be readable and
straightforward. This simplicity makes Python an ideal teaching
language, and it lets newcomers pick it up quickly. As a result,
developers spend more time thinking about the problem they’re trying
to solve and less time thinking about language complexities or
deciphering code left by others.
3. • Python is broadly adopted and supported
Python is both popular and widely used, as the high rankings in surveys
like the Tiobe Index and the large number of GitHub projects using
Python attest. Python runs on every major operating system and
platform, and most minor ones too. Many major libraries and API-
powered services have Python bindings or wrappers, letting Python
interface freely with those services or directly use those libraries.
4. • Python is not a “toy” language
Even though scripting and automation cover a large chunk of Python’s use
cases (more on that later), Python is also used to build professional-
quality software, both as standalone applications and as web services.
Python may not be the fastest language, but what it lacks in speed, it
makes up for in versatility.
• Python keeps moving forward
Each revision of the Python language adds useful new features to keep
pace with modern software development practices. Asynchronous
operations and coroutines, for instance, are now standard parts of the
language, making it easier to write Python apps that perform concurrent
processing.
5. • What Python is used for
The most basic use case for Python is as a scripting and automation
language. Python isn’t just a replacement for shell scripts or batch files;
it is also used to automate interactions with web browsers or
application GUIs or to do system provisioning and configuration in tools
such as Ansible and Salt. But scripting and automation represent only
the tip of the iceberg with Python.
6. • General application programming with Python
You can create both command-line and cross-platform GUI applications
with Python and deploy them as self-contained executables. Python
doesn’t have the native ability to generate a standalone binary from a
script, but third-party packages like cx_Freeze and PyInstaller can be
used to accomplish that.
7. • Data science and machine learning with Python
Sophisticated data analysis has become one of fastest-moving areas of
IT and one of Python’s star use cases. The vast majority of the libraries
used for data science or machine learning have Python interfaces,
making the language the most popular high-level command interface to
for machine learning libraries and other numerical algorithms.
8. • Web services and RESTful APIs in Python
Python’s native libraries and third-party web frameworks provide fast and
convenient ways to create everything from simple REST APIs in a few lines of
code to full-blown, data-driven sites. Python’s latest versions have strong
support for asynchronous operations, letting sites handle tens of thousands
of requests per second with the right libraries.
• Metaprogramming and code generation in Python
In Python, everything in the language is an object, including Python modules
and libraries themselves. This lets Python work as a highly efficient code
generator, making it possible to write applications that manipulate their own
functions and have the kind of extensibility that would be difficult or
impossible to pull off in other languages.
9. • “Glue code” in Python
• Python is often described as a “glue language,” meaning it can let disparate code (typically libraries with
C language interfaces) interoperate. Its use in data science and machine learning is in this vein, but that’s
just one incarnation of the general idea. If you have applications or program domains that you would like
to hitch up, but cannot talk to each other directly, you can use Python to connect them.
• Where Python falls short
• Also worth noting are the sorts of tasks Python is not well-suited for.
• Python is a high-level language, so it’s not suitable for system-level programming—device drivers or OS
kernels are out of the picture.
• It’s also not ideal for situations that call for cross-platform standalone binaries. You could build a
standalone Python app for Windows, MacOS, and Linux, but not elegantly or simply.
• Finally, Python is not the best choice when speed is an absolute priority in every aspect of the
application. For that, you’re better off with C/C++ or another language of that caliber.
10. • How Python makes programming simple
• Python’s syntax is meant to be readable and clean, with little pretense. A standard “hello
world” in Python 3.x is nothing more than:
• print(“Hello world!”)
• Python provides many syntactical elements to concisely express many common program
flows. Consider a sample program for reading lines from a text file into a list object, stripping
each line of its terminating newline character along the way:
• with open(‘myfile.txt’) as my_file:
• file_lines = [x.rstrip(‘n’) for x in my_file]
• The with/as construction is a context manager, which provides an efficient way to instantiate
an object for a block of code and then dispose of it outside that block. In this case, the object
is my_file, instantiated with the open() function. This takes the place of several lines of
boilerplate to open the file, read individual lines from it, then close it up.
11. • The [x … for x in my_file] construction is another Python idiosyncrasy, the
list comprehension. It lets an item that contains other items (here, my_file
and the lines it contains) be iterated through, and it lets each iterated
element (that is, each x) be processed and automatically appended to a list.
• You could write such a thing as a formal for… loop in Python, much as you
would in another language. The point is that Python has a way to
economically express things like loops that iterate over multiple objects
and perform a simple operation on each element in the loop, or to work
with things that require explicit instantiation and disposal.
• Constructions like this let Python developers balance terseness and
readability.
12. • Python’s libraries
• The success of Python rests on a rich ecosystem of first- and third-party software.
Python benefits from both a strong standard library and a generous assortment
of easily obtained and readily used libraries from third-party developers. Python
has been enriched by decades of expansion and contribution.
• Python’s standard library provides modules for common programming tasks—
math, string handling, file and directory access, networking, asynchronous
operations, threading, multiprocess management, and so on. But it also includes
modules that manage common, high-level programming tasks needed by modern
applications: reading and writing structured file formats like JSON and XML,
manipulating compressed files, working with internet protocols and data formats
(webpages, URLs, email). Most any external code that exposes a C-compatible
foreign function interface can be accessed with Python’s ctypes module.
13. • Python 2 vs. Python 3
• Python is available in two versions, which are different enough to trip up many new
users. Python 2.x, the older “legacy” branch, will continue to be supported (that is,
receive official updates) through 2020, and it might persist unofficially after that. Python
3.x, the current and future incarnation of the language, has many useful and important
features not found in Python 2.x, such as new syntax features (e.g., the “walrus
operator”), better concurrency controls, and a more efficient interpreter.
• Python 3 adoption was slowed for the longest time by the relative lack of third-party
library support. Many Python libraries supported only Python 2, making it difficult to
switch. But over the last couple of years, the number of libraries supporting only Python
2 has dwindled; all of the most popular libraries are now compatible with both Python 2
and Python 3. Today, Python 3 is the best choice for new projects; there is no reason to
pick Python 2 unless you have no choice. If you are stuck with Python 2, you have various
strategies at your disposal.
14. • Python’s compromises
• Like C#, Java, and Go, Python has garbage-collected memory management,
meaning the programmer doesn’t have to implement code to track and release
objects. Normally, garbage collection happens automatically in the background,
but if that poses a performance problem, you can trigger it manually or disable it
entirely, or declare whole regions of objects exempt from garbage collection as a
performance enhancement.
• An important aspect of Python is its dynamism. Everything in the language,
including functions and modules themselves, are handled as objects. This comes
at the expense of speed (more on that later), but makes it far easier to write high-
level code. Developers can perform complex object manipulations with only a few
instructions, and even treat parts of an application as abstractions that can be
altered if needed.