#free online python course for beginners

[python-foundation]

Python is a popular high-level, open source programming language with a wide range of applications in automation, big data, Data Science, Data Analytics development of games and web applications

[buzzessays]

HARVARD UNIVERSITY OFFERS FREE ONLINE PYTHON COURSE: ENROLL NOW!

[biopractify]

Free online courses for bioinformatics beginners

🔬 Free Online Courses for Bioinformatics Beginners 🚀

Are you interested in bioinformatics but don’t know where to start? Whether you're from a biotechnology, biology, or computer science background, learning bioinformatics can open doors to exciting opportunities in genomics, drug discovery, and data science. And the best part? You can start for free!

Here’s a list of the best free online bioinformatics courses to kickstart your journey.

📌 1. Introduction to Bioinformatics – Coursera (University of Toronto)

📍 Platform: Coursera 🖥️ What You’ll Learn:

Basic biological data analysis

Algorithms used in genomics

Hands-on exercises with biological datasets

🎓 Why Take It? Ideal for beginners with a biology background looking to explore computational approaches.

📌 2. Bioinformatics for Beginners – Udemy (Free Course)

📍 Platform: Udemy 🖥️ What You’ll Learn:

Introduction to sequence analysis

Using BLAST for genomic comparisons

Basics of Python for bioinformatics

🎓 Why Take It? Short, beginner-friendly course with practical applications.

📌 3. EMBL-EBI Bioinformatics Training

📍 Platform: EMBL-EBI 🖥️ What You’ll Learn:

Genomic data handling

Transcriptomics and proteomics

Data visualization tools

🎓 Why Take It? High-quality training from one of the most reputable bioinformatics institutes in Europe.

📌 4. Introduction to Computational Biology – MIT OpenCourseWare

📍 Platform: MIT OCW 🖥️ What You’ll Learn:

Algorithms for DNA sequencing

Structural bioinformatics

Systems biology

🎓 Why Take It? A solid foundation for students interested in research-level computational biology.

📌 5. Bioinformatics Specialization – Coursera (UC San Diego)

📍 Platform: Coursera 🖥️ What You’ll Learn:

How bioinformatics algorithms work

Hands-on exercises in Python and Biopython

Real-world applications in genomics

🎓 Why Take It? A deep dive into computational tools, ideal for those wanting an in-depth understanding.

📌 6. Genomic Data Science – Harvard Online (edX) 🖥️ What You’ll Learn:

RNA sequencing and genome assembly

Data handling using R

Machine learning applications in genomics

🎓 Why Take It? Best for those interested in AI & big data applications in genomics.

📌 7. Bioinformatics Courses on BioPractify (100% Free)

📍 Platform: BioPractify 🖥️ What You’ll Learn:

Hands-on experience with real datasets

Python & R for bioinformatics

Molecular docking and drug discovery techniques

🎓 Why Take It? Learn from domain experts with real-world projects to enhance your skills.

🚀 Final Thoughts: Start Learning Today!

Bioinformatics is a game-changer in modern research and healthcare. Whether you're a biology student looking to upskill or a tech enthusiast diving into genomics, these free courses will give you a strong start.

📢 Which course are you excited to take? Let me know in the comments! 👇💬

[kazehita]

Congrats on publishing your game, it's really cool! I was wondering if you created the dialogue system from scratch, or if you've used a plugin like Dialogic, Dialogue Manager, and so on :)

And if it was made from scratch - if you recommend any resources for learning to code such things!

Hihi!!! Thank you so much anon!!!! It doesn't quite feel real to me yet - making a game had always seemed like such an unobtainable dream... And what a fun question!!! Yes, I did it from scratch - I (was) very much a godot beginner, and I wanted to use this project to learn the base engine as much as I could!!! Conclusion: ... Doing it from scratch sucks. I didn't make my own plugin or nice system either (that's what I want to do on my next project maybe), I just went in raw - each event is an instantiated scene and it's dialogue is just stored in a dictionary. It's hectic and a bit spaghetti, but I'm glad I did it for learning purposes. Speaking of learning!! I have a little bit of misc programming experience (mostly python and html lol) but i had an excellent introduction to gdscript and godot from this early access course by GDquest.

If you're brand new to coding, I also recommend CS50 from Harvard Uni (free!!! online!!!). It's so so good but it is a lot, I got a friend to do it with me so that I could actually stick with it.

[womaneng]

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A post shared by Zeynep Küçük Woman Engineer (@woman.engineer)

Learning to code and becoming a data scientist without a background in computer science or mathematics is absolutely possible, but it will require dedication, time, and a structured approach. ✨👌🏻 🖐🏻Here’s a step-by-step guide to help you get started:

1. Start with the Basics:

- Begin by learning the fundamentals of programming. Choose a beginner-friendly programming language like Python, which is widely used in data science.

- Online platforms like Codecademy, Coursera, and Khan Academy offer interactive courses for beginners.

2. Learn Mathematics and Statistics:

- While you don’t need to be a mathematician, a solid understanding of key concepts like algebra, calculus, and statistics is crucial for data science.

- Platforms like Khan Academy and MIT OpenCourseWare provide free resources for learning math.

3. Online Courses and Tutorials:

- Enroll in online data science courses on platforms like Coursera, edX, Udacity, and DataCamp. Look for beginner-level courses that cover data analysis, visualization, and machine learning.

4. Structured Learning Paths:

- Follow structured learning paths offered by online platforms. These paths guide you through various topics in a logical sequence.

5. Practice with Real Data:

- Work on hands-on projects using real-world data. Websites like Kaggle offer datasets and competitions for practicing data analysis and machine learning.

6. Coding Exercises:

- Practice coding regularly to build your skills. Sites like LeetCode and HackerRank offer coding challenges that can help improve your programming proficiency.

7. Learn Data Manipulation and Analysis Libraries:

- Familiarize yourself with Python libraries like NumPy, pandas, and Matplotlib for data manipulation, analysis, and visualization.

For more follow me on instagram.

[tearsinthemist]

Want to learn something new

Want to learn something new in 2022??

Absolute beginner adult ballet series (fabulous beginning teacher)

40 piano lessons for beginners (some of the best explanations for piano I’ve ever seen)

Excellent basic crochet video series

Basic knitting (probably the best how to knit video out there)

Pre-Free Figure Skate Levels A-D guides and practice activities (each video builds up with exercises to the actual moves!)

How to draw character faces video (very funny, surprisingly instructive?)

Another drawing character faces video

Literally my favorite art pose hack

Tutorial of how to make a whole ass Stardew Valley esque farming game in Gamemaker Studios 2??

Introduction to flying small aircrafts

French/Dutch/Fishtail braiding

Playing the guitar for beginners (well paced and excellent instructor)

Playing the violin for beginners (really good practical tips mixed in)

Color theory in digital art (not of the children’s hospital variety)

Retake classes you hated but now there’s zero stakes:

Calculus 1 (full semester class)

Learn basic statistics (free textbook)

Introduction to college physics (free textbook)

Introduction to accounting (free textbook)

Learn a language:

Ancient Greek

Latin

Spanish

German

Japanese (grammar guide) (for dummies)

French

Russian (pretty good cyrillic guide!)

Jan 2, 2023

Want to learn something new in 2023??

Cooking with flavor bootcamp (used what I learned in this a LOT this year)

Beekeeping 101

Learn Interior Design from the British Academy of Interior Design (free to audit course - just choose the free option when you register)

Video on learning to read music that actually helped me??

How to use and sew with a sewing machine

How to ride a bike (listen. some of us never learned, and that's okay.)

How to cornrow-braid hair (I have it on good authority that this video is a godsend for doing your baby niece's black hair)

Making mead at home (I actually did this last summer and it was SO good)

How to garden

Basics of snowboarding (proceed with caution)

How to draw for people who (think they) suck at art (I know this website looks like a 2003 monstrosity, but the tutorials are excellent)

Pixel art for beginners so you can make the next great indie game

Go (back) to school

Introduction to Astronomy (high school course - free textbook w/ practice problems)

Principals of Economics (high school course - free textbook w/ practice problems)

Introduction to philosophy (free college course)

Computer science basics (full-semester Harvard course free online)

Learn a language

Japanese for Dummies (link fix from 2022)

Ukrainian

Portuguese (Brazil)

American Sign Language (as somebody who works with Deaf people professionally, I also strongly advise you to read up on Deaf/HoH culture and history!)

Chinese (Mandarin, Simplified)

Quenya (LOTR fantasy elf language)

Dec 26, 2023

Want to learn something new in 2024??

Beginner-oriented video on how to sail

This guy has so many videos on baking different types of bread. SO very many.

Coding in Python - one of the most flexible and adaptable high-level programming languages out there - explained through projects making video games

Learn to swim! (for adult learners. I don’t care if you live in Kansas or Mali or wherever. LEARN TO SWIM.)

Learn how quantum mechanics works. Then read some more about it

[Learn about quantum mechanics again, but in a more advanced engineering/mathematics class. Then read more about the math and physics of it]

Poetry Handbook, by Mary Oliver

Something I learned this year: how to sew a quilt (Here’s a very easy beginning pattern that looks amazing and can be done with pre-cut fabric!)

How to hit the ball in softball

Tutorial video on what is under the hood of most (gas) cars + weird engine sounds and what they mean

Full beginner mechanics technical training, if you want to go more in depth

Playlist on how car engine physics work if you want to go ultra in depth

Lecture series on architecture design through study of buildings

How (American income) taxes & tax law work (choose “audit course” at checkout for free class)

Pickleball for beginners (so you can finally join your neighbor/friend/distant cousin who is always insisting you join their team)

+ Para-Pickleball for beginners (for mobility aid users!)

School is so much more fun when there’s no tests:

American Law - Contracts

Shakespeare’s Life and Plays

Fairy Tales: Meanings, Messages, and Morals

Modern Poetry

World History [Part 1, Part 2]

Learn a language:

Arabic + Resource Guide compiled from Reddit (includes info on different dialects)

Chinese (Cantonese) (audio)

Urdu (frequently recommended course on Reddit) + Resource Guide

Yucatec Maya

[economicshomeworkhelper]

Econometrics Demystified: The Ultimate Compilation of Top 10 Study Aids

Welcome to the world of econometrics, where economic theories meet statistical methods to analyze and interpret data. If you're a student navigating through the complexities of econometrics, you know how challenging it can be to grasp the intricacies of this field. Fear not! This blog is your ultimate guide to the top 10 study aids that will demystify econometrics and make your academic journey smoother.

Economicshomeworkhelper.com – Your Go-To Destination

Let's kick off our list with the go-to destination for all your econometrics homework and exam needs – https://www.economicshomeworkhelper.com/. With a team of experienced experts, this website is dedicated to providing high-quality assistance tailored to your specific requirements. Whether you're struggling with regression analysis or hypothesis testing, the experts at Economicshomeworkhelper.com have got you covered. When in doubt, remember to visit the website and say, "Write My Econometrics Homework."

Econometrics Homework Help: Unraveling the Basics

Before delving into the intricacies, it's crucial to build a strong foundation in the basics of econometrics. Websites offering econometrics homework help, such as Khan Academy and Coursera, provide comprehensive video tutorials and interactive lessons to help you grasp fundamental concepts like linear regression, correlation, and statistical inference.

The Econometrics Academy: Online Courses for In-Depth Learning

For those seeking a more immersive learning experience, The Econometrics Academy offers online courses that cover a wide range of econometrics topics. These courses, often led by seasoned professors, provide in-depth insights into advanced econometric methods, ensuring you gain a deeper understanding of the subject.

"Mastering Metrics" by Joshua D. Angrist and Jörn-Steffen Pischke

No compilation of study aids would be complete without mentioning authoritative books, and "Mastering Metrics" is a must-read for econometrics enthusiasts. Authored by two renowned economists, Joshua D. Angrist and Jörn-Steffen Pischke, this book breaks down complex concepts into digestible chapters, making it an invaluable resource for both beginners and advanced learners.

Econometrics Forums: Join the Conversation

Engaging in discussions with fellow econometrics students and professionals can enhance your understanding of the subject. Platforms like Econometrics Stack Exchange and Reddit's econometrics community provide a space for asking questions, sharing insights, and gaining valuable perspectives. Don't hesitate to join the conversation and expand your econometrics network.

Gretl: Your Free Econometrics Software

Practical application is key in econometrics, and Gretl is the perfect tool for hands-on learning. This free and open-source software allows you to perform a wide range of econometric analyses, from simple regressions to advanced time-series modeling. Download Gretl and take your econometrics skills to the next level.

Econometrics Journal Articles: Stay Updated

Staying abreast of the latest developments in econometrics is essential for academic success. Explore journals such as the "Journal of Econometrics" and "Econometrica" to access cutting-edge research and gain insights from scholars in the field. Reading journal articles not only enriches your knowledge but also equips you with the latest methodologies and approaches.

Econometrics Bloggers: Learn from the Pros

Numerous econometrics bloggers share their expertise and experiences online, offering valuable insights and practical tips. Follow blogs like "The Unassuming Economist" and "Econometrics by Simulation" to benefit from the expertise of professionals who simplify complex econometric concepts through real-world examples and applications.

Econometrics Software Manuals: Master the Tools

While software like STATA, R, and Python are indispensable for econometric analysis, navigating through them can be challenging. Refer to comprehensive manuals and documentation provided by these software platforms to master their functionalities. Understanding the tools at your disposal will empower you to apply econometric techniques with confidence.

Econometrics Webinars and Workshops: Continuous Learning

Finally, take advantage of webinars and workshops hosted by academic institutions and industry experts. These events provide opportunities to deepen your knowledge, ask questions, and engage with professionals in the field. Check out platforms like Econometric Society and DataCamp for upcoming events tailored to econometrics enthusiasts.

Conclusion

Embarking on your econometrics journey doesn't have to be daunting. With the right study aids, you can demystify the complexities of this field and excel in your academic pursuits. Remember to leverage online resources, engage with the econometrics community, and seek assistance when needed. And when the workload becomes overwhelming, don't hesitate to visit Economicshomeworkhelper.com and say, "Write My Econometrics Homework" – your trusted partner in mastering econometrics. Happy studying!

[shivadmads]

Top Free Python Courses & Tutorials Online Training | NareshIT

Top Free Python Courses & Tutorials Online Training | NareshIT

In today’s tech-driven world, Python has emerged as one of the most versatile and popular programming languages. Whether you're a beginner or an experienced developer, learning Python opens doors to exciting opportunities in web development, data science, machine learning, and much more.

At NareshIT, we understand the importance of providing quality education. That’s why we offer free Python courses and tutorials to help you kick-start or advance your programming career. With expert instructors, hands-on training, and project-based learning, our Python online training ensures that you not only grasp the fundamentals but also gain real-world coding experience.

Why Choose NareshIT for Python Training?

Comprehensive Curriculum: We cover everything from Python basics to advanced concepts such as object-oriented programming, data structures, and frameworks like Django and Flask.

Expert Instructors: Our team of experienced instructors ensures that you receive the best guidance, whether you're learning Python from scratch or brushing up on advanced topics.

Project-Based Learning: Our free tutorials are not just theoretical; they are packed with real-life projects and assignments that make learning engaging and practical.

Flexible Learning: With our online format, you can access Python tutorials and training anytime, anywhere, and learn at your own pace.

Key Features of NareshIT Python Courses

Free Python Basics Tutorials: Get started with our easy-to-follow Python tutorials designed for beginners.

Advanced Python Concepts: Dive deeper into topics like file handling, exception handling, and working with APIs.

Hands-on Practice: Learn through live coding sessions, exercises, and project work.

Certification: Upon completion of the course, earn a certificate that adds value to your resume.

Who Can Benefit from Our Python Courses?

Students looking to gain a solid foundation in programming.

Professionals aiming to switch to a career in tech or data science.

Developers wanting to enhance their Python skills and explore new opportunities.

Enthusiasts who are passionate about learning a new skill.

Start Learning Python for Free

At NareshIT, we are committed to providing accessible education for everyone. That’s why our free Python courses are available online for anyone eager to learn. Whether you want to build your first Python program or become a pro at developing Python applications, we’ve got you covered.

Ready to Dive into Python?

Sign up for our free Python tutorials today and embark on your programming journey with NareshIT. With our structured courses and expert-led training, mastering Python has never been easier. Get started now, and unlock the door to a world of opportunities!

[timtrackgym2]

To join our Python classes in Indore, please follow these steps:

Choose a Course: Browse through our course offerings and select the one that best aligns with your learning goals and experience level. We offer courses for beginners, intermediate learners, and advanced programmers.

Register Online: Visit our website and fill out the online registration form. Provide your personal information, contact details, and course preferences.

Make Payment: Once you've submitted the registration form, you'll be prompted to make payment for the course. We accept various payment methods, including online transfers, credit cards, and cash.

Attend Orientation: Before the course begins, we'll conduct an orientation session to familiarize you with our teaching methodology, course materials, and expectations.

Start Learning: Join our interactive classes, engage with experienced instructors, and delve into the world of Python programming. JOIN US NOE HAVE FREE DEMO CLASES AND BUILD YOUR FUTURE IN FUTURE MULTIMEDIA

[python-foundation]

#HELLO PYTHON LOVERS !!

Here is the chance to enhance your coding skill by Enrolling our Classes

It's a golden chance to make your dream comes true so visit our website https://www.python.org !!

And for any query related to our course you can simply visit our website http://www.python.org

[hostpyters]

Kaggle is an online community and platform for data scientists and machine learning enthusiasts. It provides tools, datasets, and competitions to help users learn, practice, and showcase their skills in data science. Below is a detailed review of Kaggle's features and functionalities:

Key Features

Competitions:

Machine Learning Competitions: Kaggle is renowned for its data science and machine learning competitions where users can compete to solve complex problems. Companies and research organizations often host these competitions, providing real-world datasets and significant prizes. Community Competitions: Besides corporate-sponsored competitions, Kaggle also allows users to create and participate in community competitions, fostering a collaborative and competitive learning environment.

Datasets:

Extensive Dataset Repository: Kaggle hosts a vast repository of datasets across various domains. Users can search, download, and explore these datasets for practice, projects, and competitions.

Dataset Tools: Kaggle provides tools for users to upload, share, and collaborate on datasets, making it easy to work with and explore data.

Kaggle Kernels:

Online Coding Environment: Kaggle Kernels (now called Kaggle Notebooks) is an integrated development environment (IDE) that allows users to write and execute code in Python or R directly on the platform without needing to set up a local environment.

Collaboration: Users can share their notebooks, collaborate on code, and learn from each other's work. The notebooks can be forked, making it easy to build on existing work.

Free Compute Resources: Kaggle provides free access to GPUs and TPUs for running machine learning models, making it accessible for users without powerful local hardware.

Learning Resources:

Courses: Kaggle offers a variety of free courses on data science, machine learning, and artificial intelligence. These courses are designed to help users of all levels, from beginners to advanced practitioners, develop their skills.

Tutorials and Notebooks: The community-driven tutorials and notebooks provide practical examples and insights on various data science topics, helping users learn through real-world applications.

Community:

Forums: Kaggle has an active forum where users can discuss problems, share insights, and seek advice on data science topics and competition strategies.

Ranking and Badges: Users earn points and badges for participating in competitions, contributing to datasets, and publishing notebooks, which helps build their profile and reputation within the community.

Projects and Collaboration:

Team Competitions: Users can form teams to participate in competitions, allowing for collaborative problem-solving and knowledge sharing.

Public and Private Projects: Kaggle supports both public and private projects, enabling users to work on personal projects or collaborate with select team members in a private setting.

Pros Comprehensive Learning Platform: Kaggle provides a wide range of resources, from datasets and competitions to courses and community support, making it an all-in-one platform for learning data science.

Real-World Problems: Competitions and datasets often reflect real-world challenges, providing valuable practical experience.

Free Compute Resources: Access to free GPUs and TPUs for running models is a significant advantage for users without high-end hardware.

Community and Collaboration: The active community and collaborative tools enhance learning and problem-solving through shared knowledge and teamwork. Professional Recognition: Success in Kaggle competitions and active participation can enhance a user’s profile and credibility in the data science field.

Cons High Competition: The competitive nature of Kaggle can be daunting for beginners, as many competitions attract highly skilled participants.

Learning Curve: While Kaggle provides numerous resources, the vast array of tools, datasets, and competition formats can be overwhelming for new users.

Variable Quality of Datasets and Notebooks: The quality of user-uploaded datasets and notebooks can vary, requiring users to critically evaluate and choose reliable sources.

Kaggle is an exceptional platform for anyone interested in data science and machine learning, offering a robust set of tools, resources, and community support. Its combination of competitions, datasets, and educational content makes it suitable for both learning and practicing data science skills. While the competitive environment and extensive resources may present a learning curve, the benefits of practical experience, community collaboration, and access to free computational resources make Kaggle a highly valuable platform for aspiring and experienced data scientists alike.

[asdckanpur12]

free digital marketing courses , web development tutorials free , accounts courses online free

Institute Unleash your potential with ADC's free digital marketing courses, web development training, and online accounting courses

Are you ready to improve your knowledge and skills? MR Institute ASDC is your best choice! We're committed to giving people the tools they need to succeed in the digital age with our comprehensive range of free digital marketing courses, web training, and online courses.

As MR Institute ASDC, we understand the importance of staying ahead of others in today's competitive environment. That's why we're making our best courses free to make them accessible to all students who need them. Whether you're a professional looking to improve your skills or a beginner looking to break into the world of digital marketing, web development, or finance, our courses support all skill levels.

Key Features of Our Free Courses:

Digital Marketing Courses: From SEO and social media marketing to email marketing and Good content, our digital marketing courses cover everything in the digital space. Many topics are essential for success. Learn how to use multiple digital channels to engage your audience and turn a profit.

Web Development Training: Learn more about the basics of web development with our comprehensive training. Whether you're interested in front-end development with HTML, CSS, and JavaScript, or want to explore the ins and outs of back-end development with languages ​​like Python or PHP, our guides offer step-by-step advice to help you. You. Improve your skills from the source.

Online Accounting Courses: Gain a deeper understanding of accounting concepts and practices with our free online courses. From basic writing to effective financial analysis, our courses provide the knowledge and skills you need to effectively manage your finances, whether in a professional setting or for personal use.

Why choose MR Institute ASDC?

< br>Expert teaching: Our courses are designed and taught by industry experts with many years of experience in their fields, ensuring you receive the best training possible.

Interactive Learning: Participating in interactive activities, quizzes, and events deepens your understanding of key concepts and allows you to apply new skills in the real world.

Simple and easy: With 24/7 access to study materials, you can study at your own pace and in your own time, allowing you to balance your studies with other commitments.

Certificate: When you complete our courses, you will receive a certificate of completion that proves your new skills and enhances your employer sales credentials.

Don't miss this opportunity to invest in your future. Whether you're looking to advance your career, start a new business, or simply expand your horizons, MR Institute ASDC can support you on your journey to success. Sign up online now for our free digital marketing courses, web development courses, and account lessons, and take the first step toward unlocking your full potential!

[shemsuji432]

Exploring Python - A Perfect Easy Language Choice for Beginners

Python is a popular programming language, and it's particularly known for being easy to grasp. But why is Python a common recommendation, especially for people who are new to programming?

1. Language That Reads Like English:

Python stands out because when you read Python code, it looks a lot like the English language. It doesn't use complex symbols or strange commands. Instead, Python uses words and phrases that you're already familiar with.

2. Emphasis on Easy Reading:

Python places a strong emphasis on making code easy to read. This means that not only is your code easy for you to understand, but it's also simple for others who might work on your code. This focus on readability is like having a friendly guide that helps everyone who deals with the code.

3. Plenty of Learning Help:

Starting something new can often be intimidating, but Python makes the learning process more accessible. There's a wealth of resources available to help you learn Python. These resources include official documentation, tutorials, online courses, and forums. It's like having guidebooks, teachers, and fellow learners who are ready to assist you. Python's vast learning support network ensures you're never alone on your learning journey.

4. Super Flexible:

Python is an incredibly versatile programming language used in various domains. It's employed in web development, data analysis, artificial intelligence, and more. Learning Python opens doors to a wide range of career opportunities, just like a master key unlocks many doors.

5. A Library of Shortcuts:

Python boasts an extensive standard library that includes pre-written code for various common tasks. This is like having a collection of shortcuts to simplify everyday coding tasks. These pre-written pieces of code can save you a great deal of time and effort when you're building applications.

6. A Crowd of Friends:

Python has a vast and active community of developers. These Python enthusiasts hang out online, answering questions, sharing tips, and making sure you're never stranded for too long when you encounter programming challenges. It's like being part of a giant, friendly classroom where help is always at hand.

7. Costs You Nothing:

Learning Python doesn't come with a price tag. Python is open-source, which means it's entirely free to use. You can download and install Python on your computer without spending any money, similar to finding a cool toy without having to make a purchase.

8. Tools Made for Newbies:

Python also offers beginner-friendly integrated development environments (IDEs) like IDLE and user-friendly code editors like Visual Studio Code. These tools are designed to make the coding process simpler and less intimidating for beginners, much like having training wheels on your first bicycle.

9. Learning by Doing:

Python strongly encourages hands-on learning. It's similar to learning to cook by actually cooking. With Python, you can start writing and executing code right away, gaining practical experience that accelerates your progress.

10. The Power of Practice:

While Python's simplicity is a significant advantage for beginners, mastering any programming language still requires practice. It's comparable to learning to play a musical instrument. You might hit a few wrong notes at first, but with practice, you'll play beautiful music.

In summary, Python is not tough to learn, especially for beginners. Its user-friendly syntax, readability, extensive resources, and supportive community make it an excellent choice for those starting their programming journey. Remember, with dedication and practice, you can master Python and open doors to a world of coding possibilities.

If you're eager to start your Python learning journey, consider exploring the Python courses and certifications offered by ACTE Technologies. Their expert instructors and comprehensive curriculum can provide you with the guidance and knowledge you need to become proficient in Python.

[aletaiechhryret]

The Best Programming Languages For Beginners

When choosing the right programming language, it’s essential to consider your goals and career. You want to make sure that you choose a programming language that is both in demand and easy to learn. Python is an ideal choice for beginners because it reads like English and has a simplified syntax. It’s also versatile and can be used for anything from web development to software development.

Python

Python is a popular general-purpose programming language that’s easy to learn for beginners and widely used in web development, machine learning, art, automation, and more. It also has a vast community of resources that are available to new programmers.

Java is another widely used programming language, especially for mobile app development. It’s used at companies of all sizes (including HubSpot!) and is one of the easiest to learn if you want to develop for a variety of platforms.Better is to click here or visit our official website to know about Programming question answer.

C is an older programming language but still a good choice for beginners because it’s more “machine-level” and gives you the lowest-level control over computer hardware. It’s also the most common base for other languages, like C# and Ruby.

Java

Despite being not as beginner-friendly as Python, Java is a good programming language to start with. It's a general-purpose programming language with a versatile library and free online tutorials.

It's also a cross-platform language, which makes it suitable for mobile and desktop applications. It's the language of choice for Android development and used in a number of enterprise-level software applications.

C is one of the oldest languages and forms the basis for modern languages like Python, Java, and JavaScript. However, it has a low level of abstraction and requires that code is compiled (translated into machine-readable code) before it can be run. This can make it difficult for beginners to understand. Moreover, its syntax can be confusing. But, it's an excellent foundation for more advanced language learning.

Many people are interested in learning programming, but choosing the best language can be intimidating. Luckily, there are plenty of resources to help you get started. You can learn the basics of multiple languages with a coding boot camp, such as the Georgia Tech Coding Boot Camp, which offers a variety of courses including HTML, JavaScript, and jQuery.

Other popular languages include C, which is a general-purpose, compiled language that’s widely used in back-end software applications like web servers. Python is a versatile programming language that’s easy to learn for beginners and can be used in any application. Ruby is a dynamic, object-oriented language that’s commonly implemented using the Rails framework. Its concise syntax and convention-over-configuration approach makes it easier to build and deploy apps.

Perl

Perl is a high-level dynamic general-purpose scripting language. It is popular among system administrators for its text-processing capabilities, specifically its own in-built version of regular expressions. It is also used for web development and GUI programming.

Beginners can start learning the basics of the programming language by following the free online courses offered on Udemy. These courses begin with basic theory and then move on to specific aspects of the language. They include topics such as lists, arrays, and subroutines. They also cover how to handle errors in coding. Perl has a large community of developers, with over 230 local groups, mailing lists and support/discussion websites. It is also open source and supports more than 25,000 extension modules on CPAN. This flexibility makes it an ideal programming language for beginners.

HTML

Computer programming allows us to create the software and applications that make our lives easier, more entertaining, and more efficient. But deciding which language to learn can be a difficult choice for beginners, particularly when there are so many options available.

Programming languages may seem different on the surface, but they all have similar structures and features. This means that whichever language you choose to learn, you’ll be learning important coding concepts that will be applicable to any other languages you might decide to explore later on.

Before deciding which programming language to learn, it’s important to consider your goals and current skill level. Once you’ve identified your goals, it’s easy to narrow down your options and find the best programming language for beginners.

[xiabablog]

Hey I’m 20 now and new to programming cause the education system in my country isn’t that good…so where do you think I should start and is there any tip for someone like , absolute beginner..?? Is it too late..??? Also love your blog💕✨

Hiya! 💗

It's great to hear that you're interested in programming, and I'm glad you're finding value in my blog. It's literally never too late to start learning programming, no matter your age or background, so don't worry. I start properly pursuing programming at 19, same time I started this blog actually~!

Here some links from my blog that might be useful: my asks | my asks on how to get started

Here are some tips to get you started as an absolute beginner:

Choose a Programming Language: Start with a beginner-friendly programming language. Depends on what you want to program e.g. Web Development, Game Development, Machine Learning, you find out what you like and search up what programming languages are used in that field. Unsure? Start with JavaScript (probs learn HTML, CSS first) or Python, those my pick, to be honest.

Online Resources: There are numerous online resources and tutorials available for free. Websites like Codecademy, freeCodeCamp, MDN Docs, W3School, Coursera, and edX offer structured courses for beginners!

YouTube and Blogs: Many experienced developers share their knowledge through YouTube channels and blogs. You can find video tutorials and articles on a wide range of programming topics. I don't have a specific YouTube channel I follow, I just search up on the topic and watch a few videos on it. But I always go for the long videos e.g. 1-2 hours long for a bunch of information.

Books: Google "[programming language name] PDF books" pick a couple and study them.

Build projects > learning theory: Don't just absorb the information and do a couple practise questions on what you learnt, build a project on it! E.g. "I just learnt variables and loops in C#, let's build a student gradebook console app" I don't know~! APPLY your knowledge = wisdom.

Stay Consistent: Learning to code is a gradual process. Stay consistent with your learning, even if you encounter difficulties.

Check out the links above as it might help further questions and hope what I said helps!

[classbazaarpromos]

Microlearning: The Future of Online Education in 2025

Microlearning in 2025: The Future of Fast, Flexible Education In a fast-paced world like 2025, long lectures and full-day classes don’t quite fit into busy schedules. That’s why microlearning—a method of delivering short, focused learning content—is gaining massive popularity across industries and age groups.

Whether you’re a student preparing for exams or a professional aiming to upskill, microlearning delivers exactly what you need in just 2–10 minutes per session.

What is Microlearning? Microlearning breaks complex topics into bite-sized lessons that are easy to digest and remember. Unlike traditional e-learning, which can involve lengthy modules and heavy reading, microlearning offers mobile-friendly, engaging content—think flashcards, quizzes, infographics, and short videos.

These modules fit into your daily life, allowing you to learn while commuting, taking a coffee break, or even in between meetings. It’s designed to match the brain’s natural ability to process information in chunks, making learning both effective and convenient.

Why Microlearning Works 🔹 Higher Retention & Engagement Microlearning uses key principles of cognitive science—like spaced repetition and micro-assessments—to make learning stick. Because the content is short and specific, learners stay engaged and are more likely to complete modules.

🔹 Anytime, Anywhere Learning Thanks to mobile-first design, learners can study on the go. Whether you have 5 minutes or 15, there’s always time to learn something new—perfect for multitaskers and those with packed schedules.

🔹 Cost-Effective & Time-Saving Most micro-courses are free or low-cost, making high-quality education accessible. You don’t need to commit hours or spend heavily—10 minutes a day can gradually build new skills or strengthen old ones.

Top Microlearning Platforms in 2025 Class Bazaar Aggregates the best micro-courses across the internet. Perfect for learning coding, design, or business skills with helpful filters for time, level, and price.

LinkedIn Learning Offers thousands of skill-focused clips for professionals. Courses are optimized for business use and include certifications that can be added to your LinkedIn profile.

Udemy Known for its wide range of short and affordable courses in tech, health, marketing, and more.

Duolingo Popular for language learning through gamified lessons. Its 5–10-minute daily quizzes and AI-driven conversations keep users engaged.

Coursera & edX Offer “MicroMasters” and “MicroBachelors” programs—short, stackable courses that lead to recognized certifications.

Must-Try Microlearning Courses Easy Python Programming – Ideal for beginners to get a hands-on start in coding.

Ignite Your Soft Skills – Improve communication and time management in quick bursts.

Microsoft Excel Essentials – From basic to advanced Excel skills, plus a certificate.

AI for Leaders – Helps business professionals grasp AI concepts without a tech background.

Who Should Use Microlearning? Students – Prepare for tests and grasp difficult topics quickly.

Professionals – Learn new tools or strategies during commutes or work breaks.

Freelancers – Balance multiple gigs while gaining skills one module at a time.

Companies – Train employees effectively with budget-friendly, on-demand content.

How to Get the Most from Microlearning Set Daily or Weekly Goals – Even one module a day adds up fast.

Use Mobile Apps – Duolingo, Class Bazaar, and LinkedIn Learning make learning portable.

Track Progress – Use apps like Notion to monitor streaks, completion, and time spent.

Apply What You Learn – Reinforce knowledge through real-life tasks.

Use Spaced Repetition – Tools like Anki help with long-term memory retention.

The Future of Microlearning in EdTech 2025 is seeing exciting innovations that will reshape how we learn:

AI-Personalized Paths – Adaptive learning based on user activity and goals.

Customized Experiences – Content tailored to your learning style (visual, audio, interactive).

Wearables & Smart Assistants – Get lessons on your smartwatch or voice assistant.

Gamification – Streaks, leaderboards, and instant feedback make learning addictive and fun.

Final Thoughts Microlearning is no longer just a trend—it’s becoming the backbone of modern education. It’s flexible, effective, and perfect for the fast-moving world of 2025. Whether you're leveling up your career, studying for exams, or picking up a new hobby, microlearning makes learning easier, faster, and more fun.