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courseswebs · 6 months

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Top Data Science Courses With Certificate ⬇️

1-IBM Data Science Professional Certificate

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2-Google Data Analytics Professional Certificate

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3-Google Data Analytics Professional Certificate

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4-Introduction to Data Science Specialization

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8-Data Science Specialization

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#courses #jobs #coursera #education #courses with certification #online courses #career #data analytics #viral #learn data science #data science #data analysis #data scientist #datascience #dataanalytics #machine learning #learn python programming #python tutorial for beginners #python for beginners

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kaocandy · 2 years

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Python For Ethical Hacking: Develop Pentesting Tools ☞ http://learnstartup.net/p/kaSRY3Eb9 #python r1FbkDvUzK

#python #python tutorial #python language #python full course #python course #learn python #learn python programming #python tutorial for beginners

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ferilionlabs · 6 days

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"Python Data Types and Variables: The Foundation of Dynamic Programming"

Introduction:

Python is a programming language that can handle vast and diverse types of data that developers use to build applications. The data types include integers, floats, strings, lists, tuples, and dictionaries. They form a foundation in Python that enables programmers to manipulate data rapidly. In this article, we explore each data type's definition, explore their significant applications, and learn about Python's variable assignment and manipulation flexibility.

Exploring the Data Types:

1. Integers:

Integers are data types that represent whole numbers. They have no decimal points or fractions. In Python, programmers can perform mathematical operations such as addition, subtraction, multiplication, and division with integers. The concept is valuable for mathematical calculations, financial computations, and counting. Additionally, Integers can handle large numbers with a range from -2^31 to 2^31-1.

2. Floats:

Floats are floating-point numbers that represent decimal numbers or exponentials. In Python, floats are useful for scientific calculations and financial computations. They can handle a wide range of decimal values, including very large or small numbers, and perform incredibly accurate calculations. Programmers can perform standard mathematical operations, such as addition, subtraction, multiplication, and division, on float data types.

3. Strings :

Strings are sequences of zero or more characters combined. These elements are specific references or text in Python inside single quotes, double quotes, or triple quotes depending on the string length. Strings are useful in applications like textual data manipulation, user interface input, or generating dynamic content. Programmers can use built-in Python functions and methods that can manipulate string functions, such as concatenation, searching, slicing, and formatting.

4. Lists:

Lists are collections of items that Python stores in order, following the concept of heterogeneity. Programmers can include data types, data sets, and arrays in lists. They can append, modify, or extend lists as needed. Programmers use lists in applications like sorting algorithms, searching, grouping related items, and iterating over specific elements.

5. Tuples:

Tuples in Python are similar to lists but with one main difference. Each data type is immutable or unchangeable once defined, thus creating order and organization in the data application. Programmers use tuple data types in scenarios where data integrity is essential or acting as keys in dictionaries.

6. Dictionaries:

Python stores dictionaries in key-value pairs enclosed within curly braces ({}). Each value in the dictionary has a specific unique key, making it easy and fast to retrieve data. Programmers use dictionaries in applications like mapping different values, configuration settings, or datasets.

Variable Assignment and Manipulation:

Python has flexible variable assignment using the equal (=) sign. Programmers can assign variables that hold different data types, making it easy to reference data and conduct operations specific to that variable. Programmers can manipulate variables and perform complex calculations, transform data, or manipulate strings using appropriate Python operations.

Conclusion:

Python is a versatile programming language with advanced data types and easy variable manipulation. The data types, such as integers, floats, strings, lists, tuples, and dictionaries, are the foundation of dynamic programming in Python applications. Programmers use these concepts to handle different types of data, perform calculations, manipulate strings, manage collections, or create mappings between different values. With the foundation of these concepts, developers can build efficient and innovative programs in Python that can handle various applications.

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deepak-garhwal · 9 months

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Embarking on a Python Course in Delhi After 12th

Your complete roadmap to Python course after 12th. Build a solid foundation for your tech career. Explore the best Python courses in Delhi.

#Python course after 12th #Python course in Delhi #Required skills in Python programming #Learn Python programming #Eligibility for Python course #Python course duration #Career opportunities for Python programmers

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learn-python-programming-online · 10 months

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Unlocking Your Potential: Top 5 Tips to Kick-start Your Python Career

Introduction

Are you ready to venture into the dynamic world of Python programming and carve out a successful career for yourself? Python, a versatile and powerful language, has become the go-to choice for IT professionals, data scientists, web developers, and more. Whether you're a fresh graduate, a seasoned programmer looking to upskill, or someone passionate about tech and coding, mastering Python can unlock a realm of opportunities.

Embrace Learning Platforms

In your quest to become proficient in Python, leverage online learning platforms that offer structured courses and tutorials. Platforms like LearNowx, and Codecademy provide a plethora of Python courses catering to various skill levels. From Python basics to advanced machine learning, these platforms are treasure troves of knowledge, empowering you to learn at your own pace and convenience.

Dive into Real-world Projects

While theoretical knowledge lays the foundation, real-world projects are the crucible where you truly master Python. Engage in hands-on projects that challenge you to apply your skills creatively. Create web applications, build data analysis pipelines, or develop automation scripts. Not only will this enhance your problem-solving abilities, but it will also showcase your expertise to potential employers.

Join Thriving Python Communities

The power of community cannot be underestimated in the world of Python. Joining online forums, subreddits, and developer communities provides you with a platform to seek guidance, share ideas, and collaborate on exciting projects. The Python community is known for its inclusivity and willingness to support newcomers, making it an invaluable resource for your growth as a Python enthusiast.

Master Python Libraries and Frameworks

Python's strength lies in its extensive libraries and frameworks. As you progress in your Python journey, familiarize yourself with popular libraries like NumPy, Pandas, and Matplotlib for data analysis and visualization. Additionally, explore frameworks such as Django and Flask for web development projects. A profound understanding of these tools will elevate your skillset and make you a sought-after Python professional.

Stay Updated with Python Trends

The world of technology evolves rapidly, and Python is no exception. To stay relevant and competitive in the job market, keep a close eye on Python trends, new releases, and emerging libraries. Subscribe to tech blogs, follow industry influencers on social media, and attend Python conferences or webinars. Being up-to-date with the latest advancements will demonstrate your passion for Python and dedication to continuous learning.

Conclusion

Python, with its versatility and widespread adoption, presents an incredible opportunity for individuals aspiring to excel in the IT industry. By following these top five tips, you can lay a strong foundation and propel your Python career to new heights.

Remember, success in Python, like any other skill, requires persistence, determination, and a genuine passion for learning. Embrace challenges, collaborate with fellow Python enthusiasts, and never stop exploring the vast possibilities that Python offers.

As you embark on this rewarding journey, always keep in mind that every step you take, no matter how small, brings you closer to achieving your Python career goals. So, what are you waiting for? Join LearNowx Python Training Course and Learn Python Programming Online Unleash your potential, grasp the power of Python, and let your career soar to new horizons.

#Python Career #learn python #python programming #Learn Python Programming

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anbuselvi1 · 1 year

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Top best platforms hosting python codes

python

Python is a versatile programming language that is popularly used for web development, data analysis, machine learning, and artificial intelligence. If you are a Python developer, you need a reliable platform to host your codes, collaborate with others, and manage your projects. In this blog post, we will discuss the top best platforms hosting Python codes. GitHub GitHub is one of the most…

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codeinhindi · 1 year

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analyticspursuit · 1 year

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Python Interview Question: Moving Zeroes

In this video, we're going to be looking at a Python interview question called "Moving Zeroes." This question is a great way to test your knowledge of Python and critical thinking skills. If you're looking for Python interview questions to practice on, be sure to check out our video! We'll show you how to solve the problem and test your knowledge of Python.

As always, if you have any questions or feedback, feel free to let us know in the comments below!

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ayushkvch12 · 1 year

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#Learn python programming #Python training #Python Course #Python training and certification in noida #Python training in noida #Python certification training in noida #Python training course in noida #Python classes in noida

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edutechbits · 2 years

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Why learn programming/coding/developing?

Why learn programming/coding/developing? 1. What is the benefit of learning them? Everyone seems to know the answer. Who doesn’t want to be a freelancer/developer/software engineer or an entire company owner? So why learn these topics aside for now. 2. Career Path: As a developer or programmer, there are now thousands of fields to work in. But the skill should be there. Some of the fields in the…

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courseswebs · 9 months

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Applied Data Science with Python Specialization

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#applied #applied data science #learn python #python for beginners #learn python programming #python 3 #python #coursera #courses #jobs #data analytics

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codingquill · 8 months

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Essentials You Need to Become a Web Developer

HTML, CSS, and JavaScript Mastery

Text Editor/Integrated Development Environment (IDE): Popular choices include Visual Studio Code, Sublime Text.

Version Control/Git: Platforms like GitHub, GitLab, and Bitbucket allow you to track changes, collaborate with others, and contribute to open-source projects.

Responsive Web Design Skills: Learn CSS frameworks like Bootstrap or Flexbox and master media queries

Understanding of Web Browsers: Familiarize yourself with browser developer tools for debugging and testing your code.

Front-End Frameworks: for example : React, Angular, or Vue.js are powerful tools for building dynamic and interactive web applications.

Back-End Development Skills: Understanding server-side programming languages (e.g., Node.js, Python, Ruby , php) and databases (e.g., MySQL, MongoDB)

Web Hosting and Deployment Knowledge: Platforms like Heroku, Vercel , Netlify, or AWS can help simplify this process.

Basic DevOps and CI/CD Understanding

Soft Skills and Problem-Solving: Effective communication, teamwork, and problem-solving skills

Confidence in Yourself: Confidence is a powerful asset. Believe in your abilities, and don't be afraid to take on challenging projects. The more you trust yourself, the more you'll be able to tackle complex coding tasks and overcome obstacles with determination.

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ferilionlabs · 8 days

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Unleashing the Power of Control Flow: Exploring Conditional Statements, Loops, Functions, and Modules in Python

Python, being a versatile programming language, provides several control flow mechanisms that allow developers to create complex and dynamic programs. In this article, we will explore conditional statements, loops, and other control flow mechanisms in Python programming.

Conditional Statements: If, Elif, or Else

Conditional statements are used to execute different blocks of code based on certain conditions. In Python, we have three types of conditional statements: if, Elif, and else.

The "if" statement is the most basic type of conditional statement. It allows us to execute a certain block of code only if a specified condition is true. For example:

'''python

if condition:

# code block executed if the condition is true

'''

The 'elif' statement is used to check for additional conditions if the previous conditions are not met. It stands for "else if". Multiple 'elif' statements can be chained together to check for multiple conditions. For example:

'''python

if condition1:

# code block executed if condition 1 is true

elif condition2:

# code block executed if condition2 is true

else:

# code block executed if none of the conditions above are true

'''

Loops: For and While Loops

Loops are used to repeat a certain block of code multiple times until a specified condition is met. In Python, we have two types of loops: for and while loops.

The "for" loop is used to iterate over a sequence (such as a list, tuple, or string) or other iterable objects. It allows us to perform a set of operations on each item in the sequence. For example:

'''python

For items in sequence:

#code block executed for each item in the sequence

'''

The "while" loop is used to repeatedly execute a block of code as long as a certain condition is true. It is useful when we do not know the number of iterations in advance. For example:

'''python

while condition:

# code block executed as long as the condition is true

'''

Control Flow Mechanisms

Python provides additional control flow mechanisms to modify the flow of execution within loops and conditional statements.

The "break" statement is used to exit the current loop prematurely. When encountered, it immediately terminates the loop and resumes execution at the next statement after the loop. This can be useful when we want to stop the loop based on a certain condition.

The "continue" statement is used to skip the rest of the current iteration of a loop and move to the next iteration. It allows us to skip certain iterations based on a certain condition, without exiting the entire loop.

Functions and Modules in Python

Functions and modules are powerful tools in Python for organizing and reusing code.

Functions are blocks of reusable code that perform a specific task. They allow us to write modular and reusable code, improving code readability and maintainability. Functions are defined using the "def" keyword, followed by the function name and any required parameters. For example:

'''python

def function_name(parameter1, parameter2):

#code block defining the function's behavior

# perform operations using the parameters

'''

Modules, on the other hand, are files containing Python code that can be imported and used in other programs. They enable code organization by grouping related functions and classes. We can create our modules or make use of built-in modules provided by Python. Modules are imported using the 'import' keyword. For example:

'''python

import module_name

# Access functions and variables from the module

module_name.function_name()

'''

We have explored control flow mechanisms in Python, including conditional statements (if, elif, else), loops (for and while loops), as well as functions and modules. These concepts are fundamental to writing efficient and structured code in Python. By understanding and applying these control flow mechanisms, you can create dynamic and reusable programs with ease.

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hayaway · 11 months

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I come across a great site to learn coding, I don’t see a lot of people talking about it tho. (There is an app too!)

This site has python 101 for free (and many another, tho course from 102 and up aren’t free)

Its has a cute design and great at explaining the small details that some teachers don’t explain ✨

There is also many exercises in each chapter of the lessons.

You can check more about it from there official site ✨

Happy coding you all 🫶🏻

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deepak-garhwal · 9 months

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Mastering Python After 12th: A Delhi-Based Course Guide

Explore Python courses tailored for 12th graders. Kickstart your coding adventure with confidence.

#Python course after 12th #Python course in Delhi #Required skills in Python programming #Learn Python programming #Eligibility for Python course #Python course duration #Career opportunities for Python programmers #SoundCloud

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learn-python-programming-online · 10 months

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The Best Career Opportunities with Python in 2023

Introduction

Python, with its versatility and widespread adoption, provides excellent career opportunities for professionals across various domains. In this article, we will explore how Python offers the best career opportunities and why it is a language worth mastering.

High Demand and Widespread Adoption

Its versatility and extensive library ecosystem make it an invaluable tool for solving complex problems and developing innovative solutions. By mastering Python, you position yourself at the forefront of this high-demand field.

Data Science and Machine Learning

As businesses increasingly rely on data-driven insights, the demand for professionals skilled in Python's data science capabilities continues to rise. You may access a wide number of job options in disciplines like data analysis, predictive modelling, and artificial intelligence by specialising in Python for data science and machine learning.

Web Development and Frameworks

Python is a popular choice for web development due to its ease of use and potent web frameworks like Django and Flask. The construction of larger web applications is made easier by the full-featured framework Django, but Flask provides a lightweight and adaptable option for smaller-scale projects. Python's web development capabilities, combined with its ease of use, have created a demand for Python web developers in various industries. By honing your Python web development skills, you open doors to exciting career opportunities in front-end and back-end development.

Automation and Scripting

From automating repetitive tasks to building system administration scripts, Python offers powerful libraries, such as Selenium and Beautiful Soup, that simplify the process. As businesses strive for operational efficiency and productivity gains, professionals proficient in Python automation and scripting find themselves in high demand. By mastering Python for automation and scripting, you can secure career opportunities in fields such as DevOps, system administration, and infrastructure management.

Conclusion

Python's versatility, widespread adoption, and extensive library ecosystem make it the ideal programming language for professionals seeking the best career opportunities. From data science and machine learning to web development and automation, Python empowers you to excel in various domains. By mastering Python and staying abreast of its evolving trends and applications, you position yourself for success in an ever-expanding job market.

At LearNowx, we recognise the immense career potential that Python offers. Our specialised Python training Course is intended to provide people the abilities and information necessary to take advantage of these chances. Get in touch with us right away to start exploring Python's top job options.

#Python #python programming #Career Opportunities with Python in 2023 #Career with Python #Learn Python #Learn Python Programming

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