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digitaldetoxworld · 1 month ago
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Python Programming Language: A Comprehensive Guide
 Python is one of the maximum widely used and hastily growing programming languages within the world. Known for its simplicity, versatility, and great ecosystem, Python has become the cross-to desire for beginners, professionals, and organizations across industries.
What is Python used for
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🐍 What is Python?
Python is a excessive-stage, interpreted, fashionable-purpose programming language.  The language emphasizes clarity, concise syntax, and code simplicity, making it an excellent device for the whole lot from web development to synthetic intelligence.
Its syntax is designed to be readable and easy, regularly described as being near the English language. This ease of information has led Python to be adopted no longer simplest through programmers but also by way of scientists, mathematicians, and analysts who may not have a formal heritage in software engineering.
📜 Brief History of Python
Late Nineteen Eighties: Guido van Rossum starts work on Python as a hobby task.
1991: Python zero.9.0 is released, presenting classes, functions, and exception managing.
2000: Python 2.Zero is launched, introducing capabilities like list comprehensions and rubbish collection.
2008: Python 3.Zero is launched with considerable upgrades but breaks backward compatibility.
2024: Python three.12 is the modern day strong model, enhancing performance and typing support.
⭐ Key Features of Python
Easy to Learn and Use:
Python's syntax is simple and similar to English, making it a high-quality first programming language.
Interpreted Language:
Python isn't always compiled into device code; it's far done line by using line the usage of an interpreter, which makes debugging less complicated.
Cross-Platform:
Python code runs on Windows, macOS, Linux, and even cell devices and embedded structures.
Dynamic Typing:
Variables don’t require explicit type declarations; types are decided at runtime.
Object-Oriented and Functional:
Python helps each item-orientated programming (OOP) and practical programming paradigms.
Extensive Standard Library:
Python includes a rich set of built-in modules for string operations, report I/O, databases, networking, and more.
Huge Ecosystem of Libraries:
From data technological know-how to net development, Python's atmosphere consists of thousands of programs like NumPy, pandas, TensorFlow, Flask, Django, and many greater.
📌 Basic Python Syntax
Here's an instance of a easy Python program:
python
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def greet(call):
    print(f"Hello, call!")
greet("Alice")
Output:
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Hello, Alice!
Key Syntax Elements:
Indentation is used to define blocks (no curly braces  like in different languages).
Variables are declared via task: x = 5
Comments use #:
# This is a remark
Print Function:
print("Hello")
📊 Python Data Types
Python has several built-in data kinds:
Numeric: int, go with the flow, complicated
Text: str
Boolean: bool (True, False)
Sequence: listing, tuple, range
Mapping: dict
Set Types: set, frozenset
Example:
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age = 25             # int
name = "John"        # str
top = 5.Nine         # drift
is_student = True    # bool
colors = ["red", "green", "blue"]  # listing
🔁 Control Structures
Conditional Statements:
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if age > 18:
    print("Adult")
elif age == 18:
    print("Just became an person")
else:
    print("Minor")
Loops:
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for color in hues:
    print(coloration)
while age < 30:
    age += 1
🔧 Functions and Modules
Defining a Function:
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def upload(a, b):
    return a + b
Importing a Module:
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import math
print(math.Sqrt(sixteen))  # Output: four.0
🗂️ Object-Oriented Programming (OOP)
Python supports OOP functions such as lessons, inheritance, and encapsulation.
Python
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elegance Animal:
    def __init__(self, call):
        self.Call = name
def communicate(self):
        print(f"self.Call makes a valid")
dog = Animal("Dog")
dog.Speak()  # Output: Dog makes a legitimate
🧠 Applications of Python
Python is used in nearly each area of era:
1. Web Development
Frameworks like Django, Flask, and FastAPI make Python fantastic for building scalable web programs.
2. Data Science & Analytics
Libraries like pandas, NumPy, and Matplotlib permit for data manipulation, evaluation, and visualization.
Three. Machine Learning & AI
Python is the dominant language for AI, way to TensorFlow, PyTorch, scikit-research, and Keras.
4. Automation & Scripting
Python is extensively used for automating tasks like file managing, device tracking, and data scraping.
Five. Game Development
Frameworks like Pygame allow builders to build simple 2D games.
6. Desktop Applications
With libraries like Tkinter and PyQt, Python may be used to create cross-platform computing device apps.
7. Cybersecurity
Python is often used to write security equipment, penetration trying out scripts, and make the most development.
📚 Popular Python Libraries
NumPy: Numerical computing
pandas: Data analysis
Matplotlib / Seaborn: Visualization
scikit-study: Machine mastering
BeautifulSoup / Scrapy: Web scraping
Flask / Django: Web frameworks
OpenCV: Image processing
PyTorch / TensorFlow: Deep mastering
SQLAlchemy: Database ORM
💻 Python Tools and IDEs
Popular environments and tools for writing Python code encompass:
PyCharm: Full-featured Python IDE.
VS Code: Lightweight and extensible editor.
Jupyter Notebook: Interactive environment for statistics technological know-how and studies.
IDLE: Python’s default editor.
🔐 Strengths of Python
Easy to study and write
Large community and wealthy documentation
Extensive 0.33-birthday celebration libraries
Strong support for clinical computing and AI
Cross-platform compatibility
⚠️ Limitations of Python
Slower than compiled languages like C/C++
Not perfect for mobile app improvement
High memory usage in massive-scale packages
GIL (Global Interpreter Lock) restricts genuine multithreading in CPython
🧭 Learning Path for Python Beginners
Learn variables, facts types, and control glide.
Practice features and loops.
Understand modules and report coping with.
Explore OOP concepts.
Work on small initiatives (e.G., calculator, to-do app).
Dive into unique areas like statistics technological know-how, automation, or web development.
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mr-jython · 11 months ago
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Introduction to Python
Python is a widely used general-purpose, high level programming language. It was initially designed by Guido van Rossum in 1991 and developed by Python Software Foundation. It was mainly developed for emphasis on code readability, and its syntax (set of rules that govern the structure of a code) allows programmers to express concepts in fewer lines of code.
Python is a programming language that lets you work quickly and integrate systems more efficiently.
data types: Int(integer), float(decimal), Boolean(True or False), string, and list; variables, expressions, statements, precedence of operators, comments; modules, functions-- - function and its use, flow of execution, parameters and arguments.
Programming in python
To start programming in Python, you will need an interpreter. An interpreter is basically a software that reads, translates and executes the code line by line instead of combining the entire code into machine code as a compiler does.
Popular interpreters in python
Cpython
Jython
PyPy
IronPython
MicroPython
IDEs
Many other programmers also use IDEs(Integrated Development Environment) which are softwares that provide an extensive set of tools and features to support software development.
Examples of IDEs
Pycharm
Visual studio code (VS code)
Eclipse
Xcode
Android studio
Net beans
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pavniiiiii · 14 hours ago
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best Python Course in Jalandhar
✅ Why TechCADD's Python Course in Jalandhar Stands Out
Comprehensive & Hands‑On Curriculum TechCADD offers a Professional Certificate in Python Programming, covering everything from syntax and data types to OOP, data structures, web development (Django), and libraries like NumPy, Pandasreddit.com+15techcadd.com+15techcadd.com+15. Their training emphasizes real-world projects and practical learningreddit.com+4techcadd.com+4techcadd.com+4.
Flexible Learning Format The institute eschews rigid batches—students can join and learn at their own speed. They offer both 45-day short coursesand 6-months intensive industrial training, complete with optional internshipstechcaddcomputerinstitute.com+2techcadd.com+2techcadd.com+2. Weekday schedules, one-on-one mentoring, and lifetime access (even after classes) accommodate different learner needs techcadd.com+1techcadd.com+1.
Post‑Training Support & Placements TechCADD provides placement assistance, resume-building sessions, interview preparation, and even internship referrals—supporting freshers, graduates (+2/+3), and career changerstechcaddmaqsudanjalandhar.techcaddcomputerinstitute.com+9techcadd.com+9techcadd.com+9.
🎓 Who Should Enroll?
Beginners with zero programming background No prior knowledge necessary—ideal for +2 pass-outs and professionals switching careersreddit.com+4techcadd.com+4techcadd.com+4.
Working professionals & graduates Perfect for upskilling in Python for data science, web dev, automation, or MLtechcadd.com+12techcadd.com+12techcadd.com+12techcadd.com+1techcadd.com+1.
Students in BCA, B.Tech, MCA, etc. Great for academic project readiness and enhancing job prospectstechcaddcomputerinstitute.com+11techcadd.com+11techcadd.com+11.
📚 Course Modules
Typical curriculum includes:
Python Basics – Syntax, variables, I/O, operators
Control Structures – Booleans, loops, conditionals
Data Types & Collections – Lists, strings, modules
Error Handling & File I/O – Exceptions, file processing
Object‑Oriented Programming – Classes, methods, OOP concepts
Libraries & Frameworks – NumPy, Pandas, Django
Web Development – Building real web apps with Djangotechcadd.com+10techcadd.com+10techcaddcomputerinstitute.com+10techcaddcomputerinstitute.comreddit.com
For industrial training, you also get project work in Python, web development, ML, React, MERN, cybersecurity, and more—all designed to mimic real-world IT environments techcadd.com+1techcadd.com+1.
🌟 Key Benefits
Hands-on learning with live projects and active pedagogy techcadd.com
No batch rigidity—learn at your pacereddit.com+3techcaddcomputerinstitute.com+3techcaddcomputerinstitute.com+3
Lifetime support, including doubt-clearing and alumni access
Placement & internship support to boost employability reddit.com+4techcadd.com+4reddit.com+4
Multiple formats—short 45-day, 6-week, or 6-month courses depending on career goalstechcadd.com+2techcadd.com+2techcadd.com+2
💬 What Learners Say
While there aren't specific local reviews, similar discussions in India often highlight that structured offline learning can be beneficial:
“Private coding classes… Being in a room with a tutor who can help you whenever you want is totally different from YouTube...” reddit.com
Yet, many also emphasize the power of self-study:
“Python is all about practical knowledge… the more you practice, the easier it gets.” reddit.com
🧭 Who Should Choose It?
TechCADD’s Python course suits you if you:
Prefer practical, guided classroom learning over self-study
Seek real-world project experience and mentorship
Need placement or internship support after course completion
Want flexibility in duration—short-term or deep-dive training
Are starting from scratch or aiming for data/web/automation roles
If you're self-motivated and comfortable with online learning, platforms like Udemy, FreeCodeCamp, or CodeWithHarry can also deliver quality Python education at low cost. However, TechCADD offers structure, support, and networking advantages for in-person learners.
💡 Final Take
TechCADD’s Python offerings in Jalandhar are robust and well-rounded—offering flexible, project-based training with valuable placement assistance. They cater to a broad spectrum of learners from high‑school grads to professionals. It’s one of the strongest local options if you appreciate structure, mentorship, and real-world exposure.
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promptlyspeedyandroid · 29 days ago
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Python for Beginners: Learn the Basics Step by Step.
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Python for Beginners: Learn the Basics Step by Step
In today’s fast-paced digital world, programming has become an essential skill, not just for software developers but for anyone looking to boost their problem-solving skills or career potential. Among all the programming languages available, Python has emerged as one of the most beginner-friendly and versatile languages. This guide, "Python for Beginners: Learn the Basics Step by Step," is designed to help complete novices ease into the world of programming with confidence and clarity.
Why Choose Python?
Python is often the first language recommended for beginners, and for good reason. Its simple and readable syntax mirrors natural human language, making it more accessible than many other programming languages. Unlike languages that require complex syntax and steep learning curves, Python allows new learners to focus on the fundamental logic behind coding rather than worrying about intricate technical details.
With Python, beginners can quickly create functional programs while gaining a solid foundation in programming concepts that can be applied across many languages and domains.
What You Will Learn in This Guide
"Python for Beginners: Learn the Basics Step by Step" is a comprehensive introduction to Python programming. It walks you through each concept in a logical sequence, ensuring that you understand both the how and the why behind what you're learning.
Here’s a breakdown of what this guide covers:
1. Setting Up Python
Before diving into code, you’ll learn how to set up your development environment. Whether you’re using Windows, macOS, or Linux, this section guides you through installing Python, choosing a code editor (such as VS Code or PyCharm), and running your first Python program with the built-in interpreter or IDE.
You’ll also be introduced to online platforms like Replit and Jupyter Notebooks, where you can practice Python without needing to install anything.
2. Understanding Basic Syntax
Next, we delve into Python’s fundamental building blocks. You’ll learn about:
Keywords and identifiers
Comments and docstrings
Indentation (critical in Python for defining blocks of code)
How to write and execute your first "Hello, World!" program
This section ensures you are comfortable reading and writing simple Python scripts.
3. Variables and Data Types
You’ll explore how to declare and use variables, along with Python’s key data types:
Integers and floating-point numbers
Strings and string manipulation
Booleans and logical operators
Type conversion and input/output functions
By the end of this chapter, you’ll know how to take user input, store it in variables, and use it in basic operations.
4. Control Flow: If, Elif, Else
Controlling the flow of your program is essential. This section introduces conditional statements:
if, elif, and else blocks
Comparison and logical operators
Nested conditionals
Common real-world examples like grading systems or decision trees
You’ll build small programs that make decisions based on user input or internal logic.
5. Loops: For and While
Loops are used to repeat tasks efficiently. You'll learn:
The for loop and its use with lists and ranges
The while loop and conditions
Breaking and continuing in loops
Loop nesting and basic patterns
Hands-on exercises include countdown timers, number guessers, and basic text analyzers.
6. Functions and Modules
Understanding how to write reusable code is key to scaling your projects. This chapter covers:
Defining and calling functions
Parameters and return values
The def keyword
Importing and using built-in modules like math and random
You’ll write simple, modular programs that follow clean coding practices.
7. Lists, Tuples, and Dictionaries
These are Python’s core data structures. You'll learn:
How to store multiple items in a list
List operations, slicing, and comprehensions
Tuple immutability
Dictionary key-value pairs
How to iterate over these structures using loops
Practical examples include building a contact book, creating shopping lists, or handling simple databases.
8. Error Handling and Debugging
All coders make mistakes—this section teaches you how to fix them. You’ll learn about:
Syntax vs. runtime errors
Try-except blocks
Catching and handling common exceptions
Debugging tips and using print statements for tracing code logic
This knowledge helps you become a more confident and self-sufficient programmer.
9. File Handling
Learning how to read from and write to files is an important skill. You’ll discover:
Opening, reading, writing, and closing files
Using with statements for file management
Creating log files, reading user data, or storing app settings
You’ll complete a mini-project that processes text files and saves user-generated data.
10. Final Projects and Next Steps
To reinforce everything you've learned, the guide concludes with a few beginner-friendly projects:
A simple calculator
A to-do list manager
A number guessing game
A basic text-based adventure game
These projects integrate all the core concepts and provide a platform for experimentation and creativity.
You’ll also receive guidance on what to explore next, such as object-oriented programming (OOP), web development with Flask or Django, or data analysis with pandas and matplotlib.
Who Is This Guide For?
This guide is perfect for:
Absolute beginners with zero programming experience
Students and hobbyists who want to learn coding as a side interest
Professionals from non-technical backgrounds looking to upskill
Anyone who prefers a step-by-step, hands-on learning approach
There’s no need for a technical background—just a willingness to learn and a curious mindset.
Benefits of Learning Python
Learning Python doesn’t just teach you how to write code—it opens doors to a world of opportunities. Python is widely used in:
Web development
Data science and machine learning
Game development
Automation and scripting
Artificial Intelligence
Finance, education, healthcare, and more
With Python in your skillset, you’ll gain a competitive edge in the job market, or even just make your daily tasks more efficient through automation.
Conclusion
"Python for Beginners: Learn the Basics Step by Step" is more than just a programming guide—it’s your first step into the world of computational thinking and digital creation. By starting with the basics and building up your skills through small, manageable lessons and projects, you’ll not only learn Python—you’ll learn how to think like a programmer.
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calculatingtundracipher · 1 month ago
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Python Variables, Data Types, and Basic I/O
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Mastering Python variables, data types, and basic I/O is a crucial step in becoming a successful developer or data analyst. Variables help you store and manipulate data efficiently, while understanding data types ensures you handle values like numbers, text, and boolean logic correctly. Learn the differences between mutable and immutable types, and how Python dynamically assigns data types during runtime. Dive into input handling to make your programs interactive, and practice using the input() and print() functions to build simple, functional scripts.
This foundational knowledge is essential for developing Python applications, working with APIs, automating tasks, and preparing for fields like machine learning, AI, and web development. With practical examples and beginner-friendly syntax, you’ll gain the confidence to build your own programs. Whether you’re learning Python for career growth, software development, or academic projects, understanding these basics is your first step toward writing clean and efficient code.
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aadidawane · 1 month ago
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Python Variables, Data Types, and Basic I/O
Tumblr media
Mastering Python variables, data types, and basic I/O is a crucial step in becoming a successful developer or data analyst. Variables help you store and manipulate data efficiently, while understanding data types ensures you handle values like numbers, text, and boolean logic correctly. Learn the differences between mutable and immutable types, and how Python dynamically assigns data types during runtime. Dive into input handling to make your programs interactive, and practice using the input() and print() functions to build simple, functional scripts.
This foundational knowledge is essential for developing Python applications, working with APIs, automating tasks, and preparing for fields like machine learning, AI, and web development. With practical examples and beginner-friendly syntax, you’ll gain the confidence to build your own programs. Whether you’re learning Python for career growth, software development, or academic projects, understanding these basics is your first step toward writing clean and efficient code.
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khushidw · 1 month ago
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Python Variables, Data Types, and Basic I/O
Tumblr media
Mastering Python variables, data types, and basic I/O is a crucial step in becoming a successful developer or data analyst. Variables help you store and manipulate data efficiently, while understanding data types ensures you handle values like numbers, text, and boolean logic correctly. Learn the differences between mutable and immutable types, and how Python dynamically assigns data types during runtime. Dive into input handling to make your programs interactive, and practice using the input() and print() functions to build simple, functional scripts.
This foundational knowledge is essential for developing Python applications, working with APIs, automating tasks, and preparing for fields like machine learning, AI, and web development. With practical examples and beginner-friendly syntax, you’ll gain the confidence to build your own programs. Whether you’re learning Python for career growth, software development, or academic projects, understanding these basics is your first step toward writing clean and efficient code.
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fromdevcom · 2 months ago
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Websites today tend to use a large amount of media, such as images and video, to aid communication and improve the overall graphic impact. Many sites are also dynamic and interactive, allowing users to upload their own images and video. However, enabling lay users to modify or add to a website requires an easy-to-use, automated mechanism for upload. A major consideration when using visual or audio-visual media is that it can be heavy, often taking up more than half the size of a webpage, especially if it is high-resolution. Large files slow down the uploading process, and you need to find a way to store them. There are numerous solutions for storing media files, including server-based and cloud-based storage. You can store your files a Content Delivery Network (CDN), which distributes your data across multiple servers located around the world. CDNs are suitable for content-rich websites with heavy traffic and are often cloud-based. Cloud hosting is often preferred for its flexibility and scalability, and its ability to respond dynamically to the bandwidth of a user. To help prevent a slow website that annoys customers, and to save bandwidth, you can optimize and compress media files. However, compression of large files can also be slow, so it may be more efficient to resize media files instead, resulting in a lower resolution. You need to find the right balance between the quality of an image or video and the size of the file.  How to Upload an Image or Video Using PHP, Python, and AJAX Below are three brief tutorials for uploading an image or video using these programming languages. Uploading Videos with PHP The following steps are a brief guide for uploading videos to a website. See the full tutorial. 1. Create an Upload form using HTML You can now insert PHP code to add functionality and enable the form to perform uploads. 2. Insert a Block of Code to Name the File and Extension Use a temporary name ($tmp) for the duration of the upload. Establish a path to ensure the videos are actually uploaded and include the (isset($name)) function to confirm whether the submit button has been clicked. Specify actions for the user to complete, such as “Please choose a file”, and output statements based on boolean logic. 3. Now add the Second Block of PHP Code to Specify Which File Types will be Shown The second block will look like this
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tccicomputercoaching · 2 months ago
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Explore the basics of Python programming with this easy-to-understand infographic designed by TCCI - Tririd Computer Coaching Institute, located at Iskcon-Ambli Road, Ahmedabad.
Learn about:
Python variables and how they store data
Different data types (int, float, string, boolean, list, dictionary)
Type conversion techniques
Local vs Global variables in Python
This infographic is perfect for students, beginners, and anyone starting with Python.
🚀 Join TCCI to learn Python step-by-step with expert guidance.
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digitalskills-hub · 2 months ago
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Python Basics for Students and Career Switchers in Tech
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In today’s fast-paced digital world, learning to code is no longer limited to computer science graduates or seasoned developers. Whether you're a student aiming to future-proof your career or someone considering a career switch into the tech industry, starting with Python is one of the smartest choices you can make. The fundamental of python are simple enough for beginners yet powerful enough for professional development across various industries.
Python is widely known for its readability, flexibility, and widespread usage in everything from web development to artificial intelligence. Its simplicity makes it an ideal first programming language for absolute beginners and a great refresher for those coming from non-technical backgrounds.
Why Choose Python as a First Language?
Python’s design philosophy emphasizes code readability and simplicity. Unlike many programming languages, Python uses plain English syntax that makes it easier to learn and understand. You won’t need to memorize complex syntax or confusing characters to write functional code.
Additionally, Python has a vast and supportive community. That means if you ever get stuck, you’ll likely find a solution online quickly. Whether it's a bug in your code or help with understanding a concept, forums like Stack Overflow and GitHub are full of solutions.
What Are the Fundamentals of Python?
Before diving into advanced topics like machine learning or web development, you need to build a strong base. Here are the essential fundamental of python concepts every beginner should master:
1. Variables and Data Types
Understanding how to store and manipulate data is the first step in programming. In Python, you can work with:
Integers (int)
Floating-point numbers (float)
Strings (str)
Booleans (bool)
Lists, tuples, and dictionaries
Python doesn’t require you to declare the data type; it detects the type automatically, making your first coding steps easier.
2. Operators and Expressions
Python includes basic arithmetic operators (+, -, *, /), as well as comparison operators (==, !=, >, <) and logical operators (and, or, not).
These operators help you perform calculations and build logic into your programs.
3. Control Structures
To make decisions and repeat actions, you’ll need:
if, elif, and else statements
for and while loops
Mastering control structures allows you to write dynamic programs that can handle a variety of tasks.
4. Functions
Functions are blocks of code designed to perform a specific task. They make your code more modular and reusable.
def greet(name):
print(f"Hello, {name}!")
5. File Handling
Python makes it easy to read from and write to files—an essential skill if you're working with data or saving information.
with open("data.txt", "r") as file:
content = file.read()
6. Error Handling
Learning to handle errors gracefully using try, except, and finally blocks is important for building reliable software.
Who Should Learn Python?
✅ Students
If you’re a student—especially in high school or college—Python can open doors to future careers in data science, software development, and automation. Many universities now include Python in their curriculum because of its real-world applications.
✅ Career Switchers
If you’re moving from a non-tech field like teaching, marketing, or finance, Python is a beginner-friendly language that helps you get up to speed quickly. It’s commonly used in industries like fintech, health tech, and e-commerce.
✅ Freelancers and Creatives
Python isn’t just for techies. Artists and writers use it to create tools, automate tasks, and even work with AI to generate content.
Practical Applications of Python
Learning Python basics can help you move on to a wide range of specialized areas:
Web Development: Using frameworks like Flask or Django
Data Analysis: With libraries like Pandas and NumPy
Machine Learning: With TensorFlow, scikit-learn, and Keras
Automation: For automating repetitive tasks using simple scripts
Cybersecurity: For scripting and automating security tools
With just the basics, you can already build simple calculators, to-do lists, and automation tools that help in daily tasks.
Tools You Need to Start Learning
You don’t need a fancy setup to get started with Python. All you need is:
A computer with internet access
Python (available for free from the official site)
A code editor like VS Code or PyCharm
Access to online tutorials, YouTube videos, or Python programming courses
You can also practice directly in your browser using platforms like Replit, Jupyter Notebooks, or Google Colab.
Tips to Learn Python Effectively
Practice Daily – Coding is a skill; the more you practice, the better you get.
Build Small Projects – Apply what you learn to real-life mini projects.
Join Communities – Engage in forums or join coding groups to stay motivated.
Follow a Curriculum – Choose a structured learning path or course.
Track Your Progress – Keep a journal or use GitHub to track your code over time.
Final Thoughts
Python is an incredibly versatile language that offers endless possibilities for students and career changers alike. Whether you're trying to land a job in tech or looking to automate tasks in your current role, learning the fundamental of python is the first step toward building your confidence and capabilities in coding.
Start today. All you need is curiosity, consistency, and a willingness to learn. Python is ready to take you wherever you want to go in the world of tech.
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allyourchoice · 2 months ago
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Get Started Coding for non-programmers
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How to Get Started with Coding: A Guide for Non-Techies
If you ever considered learning how to Get Started Coding for non-programmers but were intimidated by technical terms or daunted by the prospect, you're in good company. The good news is that coding isn't for "techies" alone. Anyone can learn to code, no matter their background or experience. In this guide, we'll take you through the fundamentals of how to get started coding, whether you're looking to create a website, work with data, or simply learn how the technology that surrounds you operates. Why Learn to Code? Before diving into the "how," it's worth knowing the "why." Coding can unlock new doors, both personally and professionally. Some of the reasons why learning to code is worth it include: Problem-solving abilities: Programming allows you to dissect difficult problems and identify solutions. Career adaptability: More and more careers, from marketing to medicine, are turning to coding as a requirement. Empowerment: Code knowledge enables you to have a better understanding of the technology you're using daily and enables you to own your own project development. Creativity: Coding isn't purely logical—it's also about making new things and creating your own ideas. Step 1: Choose Your Learning Path Before you start, consider what you are most interested in. The route you take will depend on what you want to do. These are some of the most popular routes: Web Development: Creating websites and web apps (learn HTML, CSS, JavaScript). Data Science: Examining data, visualizing patterns, and making informed decisions based on data (learn Python, R, or SQL). App Development: Creating mobile apps for iOS or Android (learn Swift or Kotlin). Game Development: Building video games (learn Unity or Unreal Engine using C# or C++). Take a moment to determine which area speaks to you. Don't stress about choosing the "perfect" path—coding skills are interchangeable, and you can always make a change later. Step 2: Begin with the Basics After you've decided on your route, it's time to begin learning. As a novice, you'll want to begin with the fundamentals of coding. Here are some fundamental concepts to familiarize yourself with: Variables: A means of storing data (such as numbers or text). Data Types: Familiarity with various types of data, including integers, strings (text), and booleans (true/false). Loops: Doing things over and over again without writing the same code over and over. Conditionals: Deciding things in code using if-else statements. Functions: These are the Building blocks of code that can be reused to accomplish particular tasks. For instance, when you're learning Python, you could begin with a basic program such as: Step 3: Select the Proper Learning Material There's plenty of learning material out there for beginners, and the correct resource can mean a big difference in how rapidly you learn to code. Some of the most popular methods include: Online Courses: Websites such as Coursera, Udemy, edX, and freeCodeCamp provide sequential courses, and some of these are available free of charge. Interactive Platforms: Sites such as Codecademy, Khan Academy, or LeetCode offer in-the-code lessons that walk you through problems sequentially. Books: There are a lot of code books for beginners, such as "Python Crash Course" or "Automate the Boring Stuff with Python." YouTube Tutorials: YouTube contains a plethora of coding tutorials for beginners where you can work through actual projects. For complete beginners, sites such as freeCodeCamp and Codecademy are excellent as they enable you to code in the browser itself, so you don't have to install anything. Step 4: Practice, Practice, Practice The secret to mastering coding is regular practice. Similar to learning a musical instrument or a foreign language, you'll have to develop muscle memory and confidence. Practice Coding Challenges: Sites such as HackerRank or Codewars offer exercises that allow you to practice what you've learned. Build Small Projects: Begin with small projects, like a to-do list, a basic calculator, or a personal blog. This reinforces your learning and makes coding more rewarding. Join Coding Communities: Sites like GitHub, Stack Overflow, or Reddit's /r/learnprogramming are excellent for asking questions, sharing your work, and receiving feedback. Step 5: Don't Be Afraid to Make Mistakes Keep in mind that errors are all part of learning. While you're coding, you'll get errors, and that's completely fine. Debugging is a skill that takes time to master. The more you code, the more accustomed you'll get to spotting and resolving errors in your code. Here's a useful approach when faced with errors: Read the error message: It usually indicates precisely what's wrong. Search online: Chances are, someone else has faced the same issue. Platforms like Stack Overflow are full of solutions. Break the problem down: If something’s not working, try to isolate the issue and test each part of your code step by step. Step 6: Stay Motivated Get Started Coding for Non-Programmers. Learning to code can be challenging, especially in the beginning. Here are a few tips to stay motivated: Break goals into bite-sized pieces: Don't try to learn it all at once; set mini goals such as "Complete this course" or "Finish this project." Pat yourself on the back: Celebrate every time you complete a project or figure out a problem. Get a learning buddy: It's always more fun and engaging with someone learning alongside you. Don't do it in one sitting: It takes time to learn to code. Relax, be good to yourself, and enjoy the process. Conclusion Learning to Get Started Coding for non-programmers might seem daunting, but it’s possible with the right mindset and resources. Start small, be consistent, and remember that every coder, no matter how experienced, was once a beginner. By following these steps—choosing the right learning path, mastering the basics, practicing regularly, and staying motivated—you’ll soon gain the skills and confidence you need to code like a pro. Read the full article
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promptlyspeedyandroid · 1 month ago
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Python Tutorial for Absolute Beginners – Start Coding Today
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If you're new to programming and looking for the perfect place to begin, you've just found it. This Python tutorial for absolute beginners is designed to help you get started with Python — one of the most popular, beginner-friendly programming languages in the world. Whether you're learning to switch careers, boost your skills, or just explore something new, this guide is the perfect place to start coding today.
Python is widely used in many areas of technology:
web development, data analysis, artificial intelligence, automation, game development, and much more. The best part? Python has a simple and readable syntax that makes it ideal for those with zero coding experience.
🚀 Why Learn Python?
Before we dive into coding, let’s explore why Python is so popular — especially among beginners:
🧠 Easy to Understand: Python reads almost like English, making it easier to learn than most languages.
🧰 Versatile: It can be used for web development, data science, scripting, machine learning, and more.
🌐 Community Support: Python has one of the largest and most active programming communities.
💼 Career Opportunities: Python developers are in high demand and often earn competitive salaries.
Python is not just a great first language — it’s a powerful tool that can grow with you.
📦 What You Need to Get Started
To follow this tutorial, you don’t need any fancy setup. Just:
A computer (Windows, macOS, or Linux)
Python installed – download from python.org
A code editor – we recommend Visual Studio Code
Motivation to learn!
Once Python is installed, you can start writing your first script in minutes.
✍️ Writing Your First Python Program
Let’s start with the classic:
print("Hello, world!")
Just open your editor, type this line, save the file as hello.py, and run it using:
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python hello.py
You’ll see: Copy
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Hello, world!
🎉 Congratulations! You just wrote your first Python program.
📘 Key Python Concepts You’ll Learn in This Tutorial
This Python tutorial for absolute beginners covers all the basics you need to get comfortable with coding:
1. Variables and Data Types
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name = "Alice" age = 25 is_student = True
You'll learn how to store and work with different types of data, such as strings, numbers, and booleans.
2. User Input and Output
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name = input("What is your name? ") print("Hello, " + name)
Learn how to interact with users by taking input and displaying output.
3. Conditional Statements (if/else)
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age = int(input("Enter your age: ")) if age >= 18: print("You are an adult.") else: print("You are a minor.")
Use logic to control how your program behaves based on different inputs.
4. Loops (for and while)
for i in range(5): print(i)
Loops allow you to repeat actions without rewriting code — a key tool for all programmers.
5. Functions
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def greet(name): print("Hello, " + name) greet("Alice")
Functions let you organize and reuse your code efficiently.
6. Lists and Dictionaries
fruits = ["apple", "banana", "cherry"] person = {"name": "Alice", "age": 25}
Learn how to store and manage collections of data.
🧠 Real-World Mini Projects (You’ll Build)
This tutorial isn’t just about theory — you’ll build small but real projects to solidify your learning:
A simple calculator
A number guessing game
A to-do list manager
A basic quiz app
These hands-on examples make sure you’re not just reading — you’re actually coding.
📈 What to Do After This Tutorial
Once you've mastered the basics, you can explore:
Object-Oriented Programming (OOP) in Python
Using Python for web development (with Flask or Django)
Getting started with data analysis (using pandas and NumPy)
Building automation scripts or bots
Learning APIs and how to work with web data
The Python world is huge, and this tutorial is your entry point into a powerful and exciting ecosystem.
🙌 Final Thoughts
This Python tutorial for absolute beginners – start coding today is your launchpad into the world of programming. Python is easy to learn, fun to use, and powerful enough to build serious applications. Whether you want to become a developer, automate your tasks, or just learn a new skill, Python is a perfect first choice.
Don’t worry about mastering everything at once. The key is to start small, practice regularly, and enjoy the journey. Everyone starts as a beginner, and with Python, you're already off to a great start.
Ready to begin? Open your editor, write that first line of code, and start coding today!
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shalu620 · 3 months ago
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Learning Python Basics: A Step-by-Step Approach
Python is one of the easiest and most powerful programming languages for beginners to start with. Its clean syntax and readability make it a favorite among new learners, while its flexibility and vast community support make it useful across different fields like web development, data analysis, automation, and artificial intelligence. Considering the kind support of Python Course in Chennai Whatever your level of experience or reason for switching from another programming language, learning Python gets much more fun.
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If you're new to Python, here's a step-by-step approach to help you get started with the basics.
Start with Understanding What Python Is Before diving into coding, it's helpful to know what Python is and why it's so popular. Python is a high-level, interpreted programming language known for its ease of use and versatility. It's used by companies, hobbyists, and professionals alike. Knowing its applications can give you extra motivation to learn.
Set Up Your Environment To start writing Python code, you need to set up your environment. Install Python on your computer and choose a simple text editor or an Integrated Development Environment (IDE) like IDLE or VS Code. Once you're set up, you can begin writing and running your Python scripts.
Learn the Fundamentals The core basics of Python include understanding variables, data types (strings, integers, floats, booleans), and how to perform simple operations like addition or string manipulation. Learn how to print messages, take user input, and understand basic syntax.
Explore Control Structures Control structures like conditional statements (if, else, elif) and loops (for, while) help control the flow of your program. Practice using them in simple examples like guessing games, calculators, or even creating basic menus.
With the aid of Best Online Training & Placement Programs, which offer comprehensive training and job placement support to anyone looking to develop their talents, it’s easier to learn this tool and advance your career.
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Functions and Reusability Functions allow you to write reusable blocks of code. Learn how to define and call functions, pass parameters, and return results. This step is important in making your code more organized and scalable.
Lists, Tuples, and Dictionaries Data structures are essential in storing and manipulating data. Learn how to work with lists, tuples, and dictionaries, which are used frequently in Python programs. Practice accessing, updating, and looping through them to get comfortable.
Practice with Simple Projects Once you have the basics, start building small projects. These could be as simple as a to-do list, a temperature converter, or a number guessing game. These projects reinforce what you’ve learned and help you see how everything fits together.
Debug and Learn from Mistakes Errors are part of programming. Learn how to read error messages and understand what went wrong. Debugging your own code builds confidence and teaches you how to think like a developer.
Keep Practicing and Building The more you code, the more fluent you’ll become. Continue experimenting with new ideas and challenges. As you grow, explore more Python topics like file handling, classes and objects, and external libraries.
Learning Python step by step gives you a solid foundation not just in the language itself but in the broader world of programming. With patience and regular practice, you'll find yourself mastering the basics and ready to move on to more advanced projects.
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digitalmarketingyashgoyal · 3 months ago
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Code with Confidence: Programming Course in Pitampura for Everyone
What is Programming?
Programming, coding, or software development refers to the activity of typing out instructions (code) that will tell a computer to perform something in order for it to perform some task. These tasks may be as simple as doing arithmetic or may be complex tasks like the functioning of an operating system or even the creation of an AI system. Programming is essentially problem-solving by providing a computer with a specified set of instructions to perform.
In a standard programming process, a programmer codes in a programming language. The computer converts the code into machine language (binary), which the computer understands and executes. Through this, computers are able to perform anything from straightforward computations to executing humongous, distributed systems.
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The Process of Programming
1. Writing Code
The initial step in coding is to code. Programmers utilize programming languages to code their commands. The languages differ in their complexity and composition but all work to translate human reasoning to machines.Programming Course in Pitampura
programming languages are Python, JavaScript, Java, C++, and numerous others.
A programmer begins by determining what problem they have to fix and then dissecting it into steps that they can do. For instance, if they have to create a program that will find the area of a rectangle, they may first have to create instructions that will accept the input values (width and length) and then carry out the multiplication to obtain the area.
2. Conversion of Code to Machine Language
After the code is written, the second step is to convert it into something that the computer can read. There are two main methods of doing that:
Compilation: In languages such as C and C++, the source code is compiled in its entirety to machine code by a compiler. This gives an executable file, which will execute independently without the source code.
Interpretation: In interpreted languages like Python, the code is executed line by line by an interpreter. The interpreter translates the code to machine language while executing the program, so the initial source code is always required.
3. Execution
Once the code has been translated into machine language, the computer can execute it. That is, the program does what the programmer instructed it to do, whether it is displaying information on a web page, calculating a result, or talking to a database.
Key Concepts in Programming
1. Variables and Data Types
A variable is a storage container where data is put that may vary while the program is running. Data put in variables may be of various types, and those types are referred to as data types. Data types include:
Integers: Whole numbers (e.g., 5, -10)
Floating-point numbers: Decimal numbers (e.g., 3.14, -0.001)
Strings: Sequences of characters (e.g., "Hello World!")
Booleans: True or false values (e.g., True or False)
2. Control Structures
Control structures help direct the course of a program. They enable a program to make decisions (conditionals) or perform actions in cycles (loops). The two fundamental control structures are:
Conditionals: Applied when programming choices are being made. For instance: if age >= 18:
    print("You are an adult.")
else:
    print("You are a minor.")
Loops: Loops allow a program to repeat a set of instructions. For example, a for loop might be used to print numbers from 1 to 5: for i in range(1, 6):
    print(i)
3. Functions
A function is a section of code that can be repeatedly called to perform a task. Functions avoid duplicated code and make programs modular. Functions will typically have arguments (input), perform something, and return a result. For example:
def add(a, b):
    return a + b
result = add(3, 5)
print(result)  # Output: 8
4. Object-Oriented Programming (OOP)
OOP is a programming paradigm in which the program is structured around objects—data and the operations that take data as input. An object is an instance of a class, which is like a blueprint for creating objects. The main ideas of OOP are:
Encapsulation: Putting data and functions into one container (class).
Inheritance: Providing a class to inherit properties from another class.
Polymorphism: Enabling the use of several classes as objects of a shared base class.
Example of a class in Python:
class Car:
    def __init__(self, brand, model):
        self.brand = brand
        self.model = model
    def start_engine(self):
        print(f"Starting the engine of the {self.brand} {self.model}.")
my_car = Car("Toyota", "Corolla")
my_car.start_engine()
Common Programming Paradigms
Procedural Programming:- This is the most basic programming paradigm, where instructions are written as a series of instructions that are carried out one after the other. Similar instructions are bundled with the assistance of functions. It is suitable for straightforward problems.
Object-Oriented Programming (OOP):- As mentioned, OOP deals with objects and classes. It is especially beneficial in large programs where maintainability and reusability of code are major issues. OOP is supported by programming languages such as Java, Python, and C++. It.
Functional Programming:- This paradigm considers computation as the calculation of mathematical functions and does not change state or mutable data. Haskell and Scala are both popular for their focus on functional programming.
Declarative Programming:- In declarative programming, you define what you wish to accomplish rather than how you wish to accomplish it. SQL (Structured Query Language) is a case in point, where you tell the database what information you want to pull rather than how to pull it.
Common Programming Languages
Python: Known for simplicity and readability, Python is used extensively in web development, data science, AI, etc. It is an interpreted language, meaning you can begin coding without the hassles of compilation.
JavaScript: The most significant programming language for web development. JavaScript is run in the browser and used to create interactive and dynamic web pages. JavaScript can also be used on the server side in environments like Node.js.
Java: A compiled language with wide application to enterprise software, Android apps, and large systems. It is renowned for being solid and cross-platform (via the Java Virtual Machine).
C/C++: C is a very mature and robust programming language, used in systems programming and embedded systems. C++ adds object-oriented programming features to C and is generally used for high-performance applications, such as video games.
Ruby: Ruby, with its beautiful syntax, is widely utilized for web development using the Ruby on Rails framework.
Debugging and Testing
Programming has many different aspects, and coding is just one of them. Debugging is finding and fixing bugs in your code, and testing is verifying your code to run the way you want it to. There are unit tests, integration tests, and debuggers among some of the tools that assist you in getting your programs' quality and correctness.
Real-World Applications of Programming
Programming powers an enormous range of programs in daily life:
Web Development: Creating a web site and web applications using technologies like HTML, CSS, JavaScript, and frameworks like React or Angular.
Mobile Application Development: Developing apps for iOS (Swift) or Android (Java/Kotlin).
Data Science: Examining data using programs such as Python, R, and SQL, generally to discover trends and insights.
Game Development: Creating video games with programming languages like C++ and game engines like Unity or Unreal Engine.
Artificial Intelligence: Developing intelligent systems with learning and decision-making capabilities, using Python and libraries like TensorFlow or PyTorch.
Conclusion
Programming is a multi-purpose and valuable skill in the modern world. It allows us to code and break down complex issues, perform tasks automatically, and design anything from a simple calculator to a sophisticated artificial intelligence system. Whether you want to design websites, inspect data, or design mobile applications, programming is the core of contemporary technology. The more you learn and experiment, the more you will realize the incredible possibilities of what you can construct and accomplish.
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souhaillaghchimdev · 3 months ago
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Programming Basics for Beginners
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If you’re new to programming, you might feel overwhelmed by the terms, languages, and tools out there. Don’t worry! Every expert developer was once a beginner. This post will guide you through the core basics you need to start your coding journey with confidence.
1. What Is Programming?
Programming is the process of writing instructions that a computer can understand and execute. These instructions are written in languages like Python, JavaScript, Java, or C++.
2. Choosing a Programming Language
Start with a beginner-friendly language. Here are some good options:
Python: Easy syntax, great for beginners and used in web development, data science, automation, and more.
JavaScript: The language of the web — used in websites, browsers, and interactive apps.
Scratch: Visual programming language for absolute beginners and kids.
3. Understanding Basic Programming Concepts
Variables: Store data (like numbers or text) for use in your program.
Data Types: Examples include integers, strings (text), booleans (true/false), and lists.
Operators: Symbols like +, -, *, and / used for calculations.
Conditions: Use if statements to make decisions in your code.
Loops: Repeat actions using for or while loops.
Functions: Reusable blocks of code that perform a specific task.
4. Writing Your First Program
Here’s an example in Python:# This is a comment name = input("What is your name? ") print("Hello, " + name + "!")
5. Tools You’ll Need
Text Editor: VS Code, Sublime Text, or Atom
Interpreter/Compiler: To run your code (Python, Node.js, Java SDK, etc.)
Terminal/Command Line: For navigating folders and running code
6. Practice Makes Perfect
The best way to learn programming is by doing. Start small and build up. Try websites like:
Codecademy
freeCodeCamp
W3Schools
Replit – write and run code in your browser
7. Stay Curious and Keep Learning
Programming is always evolving. Learn from tutorials, books, and other developers. Join coding communities and don’t be afraid to ask questions!
Conclusion
Programming might seem complex at first, but once you understand the basics, it becomes a powerful and creative tool. Start slow, be patient, and enjoy the journey — you’re building a skill that can open countless doors.
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cromacampusinstitute · 3 months ago
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https://letmagzine.com/basic-syntax-variables-and-data-types-in-python/
Python uses simple syntax: variables are created by assigning values using =, without declaring type. Common data types include integers (int), floats (float), strings (str), booleans (bool), lists, tuples, dictionaries, and sets. Python is dynamically typed.
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