#Automate the Boring Stuff with Python

[deepak-garhwal]

It is crucial to learn Python from the best resources available. books are one of the best resources to learn anything so we are going to check out the 5 best Python books for beginners. the episode of this podcast is dedicated to the top 5 Python books to build a strong foundation for beginners.

[killj0y616]

Wanted to take a moment to shout out @alsweigart. I'm working my way through Automate the Boring Stuff & came across a confusion in one of the practice problems. Found a post on Stackoverflow where a user was having the same confusion. The man, the myth, the author himself responded to the post, explained the problem with a patience I can only explain as inspiring, & apologized for the confusion in the problem. Dude is like a cool teacher who loves the subject & really, really wants you to love it too. Thanks Mr. Sweigart :)

[auncyen]

currently reading "Automate the Boring Stuff with Python" to refresh myself on some things, learn new things like, for example, web scraping (had tried to get into it previously and didn't quite get how to make it work)

anyway I seem to be understanding a little better, but also it's near bedtime, I'm ready to start winding down, but oh here's a url the book is recommending I check out to understand one bit better, I'll just go to that now so...I...can...save... it...

...

Maybe it is time for bed.

[furiouskoalaarbiter]

My coding journey as a beginner

finished book "Automate The Boring Stuff with Python"

finished 57% of the C# course at CodeAcademy

[metamatar]

Could you recommend a beginner's book or books for someone who wants to get into programming as a hobby? I know HTML and CSS, working on learning JS, but I kinda wanna get into mainline programming for kicks, and I'm unsure about how to branch out of web development.

Hello!

There's lots of things programming as a hobby can mean: do you want to do leetcode for fun? do you want to write programs to automate workflows? write mini video games? write programs for microcontrollers to affect the world outside your computer? do things with data analysis? figuring this out is likely to making learning way more interesting to you!

I have zero frontend experience with doing anything on web. My only experience with JS is figuring out what to block on websites. So if you want to add functionality to websites, keep at JS? I hear that the gold standard for learning web related technologies for free is freecodecamp.org so might be worth looking at if you haven't already!

In 2023, 75% of what you want to do can be done with python, so imo it is worth picking up! It's also a very intuitive language to start with if you feel like JS is slippery.

I picked up python from MIT's 6.001x, when it was still for free on edX with the autograder but all the material is still available here on OCW. This is a very traditional course so I think you get a sense of whether you'll like classic problem solving in the leetcode way.

A friend of mine had a good time using Automate the Boring Stuff with Python which is a non programmers introduction to writing scripts to do useful things for python, which is much more practical course.

A more language agnostic approach might be looking through the introductory stuff in OSSU's Computer Science self taught curriculum.

Once you feel reasonably comfortable with any language, this link leads to some curated tutorials to program projects in different languages. Pick anything that you find interests you :)

[the-technicolor-whiscash]

Also if you're wondering where I'm learning Python I'm using this free ebook I found online it's called "Automate The Boring Stuff With Python" the author has a bunch of other books about Python but I'm using this one cause it's specifically for people who don't know shit about coding but want to automate shit like excel spreadsheets with it and that is exactly what I want to do

It's pretty helpful it breaks everything down step by step and has exercises for basically everything so you can practice skills immediately after you learn them and like Python's already a considerably simpler code to teach yourself compared to HTML and C+ and all that so even though I suck shit at coding, I actually feel like I'm learning and capable of doing the work here

[pandeypankaj]

How do I learn Python in depth?

Mastering Python: Approaches for Learning

1. Strong Basics

Online Courses: Websites like Coursera, edX, and Udemy have comprehensive courses on Python.

Books: "Python Crash Course" by Eric Matthes and "Automate the Boring Stuff with Python" by Al Sweigart are very popular books.

Interactive Tutorials: Codecademy, HackerRank are great resources to get hands-on with Python.

2. Practice in Routine

Personal Projects: Construct small projects and apply the knowledge gained.

Coding Challenges: Take part in online challenges and problems available on LeetCode, HackerRank.

Contributing to OSS: Contribute to opensource projects and learn from more experienced developers. 

3. Study a number of Libraries and Frameworks 

• NumPy-for numerical computation, arrays 

• Pandas-for manipulation and analysis of data 

• Matplotlib-for visualization of data 

• Scikit-learn-providing machine learning algorithms 

• TensorFlow and PyTorch-for deep learning     

4. Comprehend the Core Concepts: 

  Object-Oriented Programming or OOP: Classes, objects, inheritance, polymorphism 

  Functional Programming: Lambdas, map, filter, reduce 

  Memory Management: Garbage collection 

  Python Standard Library: Explore modules like os, sys, re, json.

5. Advanced Topics

Metaclasses: Customizing class creation.

Decorators: Dynamically modifying functions and methods.

Generators: Efficient iterator creation.

Context Managers: Managing resources like files.

6. Join Communities Online

Forums: Stack Overflow, Reddit's r/learnpython.

Discord Servers: Discussion and getting help in Python-specific servers.

Meetups: Attend Python meetups locally and learn from others and network.

7. Keep Up to Date

Read Blogs and Articles: Follow Python-related blogs and news.

Attend Conferences: Take part in the conferences where updates on Python will be discussed.

8. Play around and Explore

Be adventurous and try different new things in many various ways, or with different techniques.

Learn from Mistakes: Challenges must be faced head-on, and curiously enough, one learns from their errors.

Learning Python is gradual. You get better as time proceeds when you try more and find more.

[dynamicdamilare]

Social Media Automation Using Python

Have you ever thought of automating boring tasks? Ever wondered? How can you schedule a task to be done by your computer by using python? Have you ever wanted to build a bot that could send messages on WhatsApp for you whenever you want? Do you want to get the stats of your Youtube channel in a CSV or any other format with just one click? Do you want to post your stuff on Facebook…

[saasreferences]

The Automate the Boring Stuff with Python 2nd Edition is the ultimate guide for total beginners looking to dive into the world of practical programming. This comprehensive book is designed to help you automate mundane tasks and streamline your workflow using Python. With step-by-step instructions and real-world examples you'll learn how to write efficient code to automate tasks like web scraping working with files manipulating data and much more. Whether you're a student professional or hobbyist this book is a must-have resource to enhance your programming skills and boost your productivity. Get ready to conquer the boring stuff and unleash the power of Python! Back to https://resources.creatorscripts.com

[hemaraj-897]

Journey to Learning Python

Python's simplicity and readability make it an ideal choice for beginners. Its versatile applications, ranging from web development to data science, offer numerous career opportunities. For individuals who want to work in the sector, a respectable python training in pune can give them the skills and information they need to succeed in this fast-paced atmosphere.

1.2. Setting Up Your Environment

Installing Python: Download and install Python from the official website. The process is straightforward and supports all major operating systems.

Choosing an IDE: Begin with IDLE (Integrated Development and Learning Environment) included with Python. As you progress, consider using more advanced IDEs like PyCharm or Visual Studio Code for additional features and extensions.

2. Mastering the Basics

2.1. Online Learning Resources

Codecademy: Start with interactive lessons on Codecademy to understand basic syntax, loops, and functions.

Coursera and edX: Enroll in structured courses such as “Programming for Everybody (Getting Started with Python)” from the University of Michigan for comprehensive introductions and practical exercises.

2.2. Essential Books and Documentation

"Automate the Boring Stuff with Python" by Al Sweigart: This book offers practical applications of Python, making learning engaging and relevant.

Python Documentation: While initially overwhelming, the official documentation becomes a valuable resource as you become more comfortable navigating it.

3. Hands-On Practice

3.1. Tackling Coding Challenges

LeetCode and HackerRank: These platforms provide various coding challenges that reinforce learning, starting with easy problems and advancing to more complex ones.

Project Euler: Focuses on mathematical problems requiring programming solutions, enhancing problem-solving skills.

3.2. Building Your Projects

Simple Scripts: Begin with small projects like calculators, simple games, and automation scripts to practice your skills.

Open Source Contributions: Contribute to open-source projects on GitHub to experience real-world coding standards and collaborative practices.

4. Engaging with the Community

4.1. Online Forums and Groups

Stack Overflow: Participate in discussions and seek answers to common problems.

Reddit and Discord: Join communities like r/learnpython and Python-related Discord servers to interact with other learners and experts. Enrolling in python online training can enable individuals to unlock  full potential and develop a deeper understanding of its complexities.

4.2. Meetups and Conferences

Attend local Python meetups and conferences for networking, learning from experts, and staying updated with the latest trends.

5. Advancing and Specializing

5.1. Exploring Libraries and Frameworks

Web Development: Learn Flask and Django for web development.

Data Science: Focus on libraries like NumPy, pandas, and Matplotlib for data analysis and visualization.

Automation: Use libraries like Selenium and BeautifulSoup for web scraping and automation tasks.

5.2. Continuing Education

Specialized Courses: Take advanced courses on platforms like Udacity and Coursera to deepen your understanding of areas such as machine learning and web development.

Books and Tutorials: Continue reading books and following tutorials to keep your skills sharp and up-to-date.

Conclusion

Learning Python as a beginner is a rewarding journey that requires dedication, practice, and a continuous desire to learn. By starting with the basics, practicing regularly, building projects, and engaging with the community, you can develop a solid foundation in Python. Whether you aim to automate tasks, delve into data science, or create web applications, Python is a versatile and powerful language that can open many doors. Happy coding!

[tccicomputercoaching]

How to start learning a coding?

Starting to learn coding can be a rewarding journey. Here’s a step-by-step guide to help you begin:

Choose a Programming Language

Beginner-Friendly Languages: Python, JavaScript, Ruby.

Consider Your Goals: What do you want to build (websites, apps, data analysis, etc.)?

Set Up Your Development Environment

Text Editors/IDEs: Visual Studio Code, PyCharm, Sublime Text.

Install Necessary Software: Python interpreter, Node.js for JavaScript, etc.

Learn the Basics

Syntax and Semantics: Get familiar with the basic syntax of the language.

Core Concepts: Variables, data types, control structures (if/else, loops), functions.

Utilize Online Resources

Interactive Tutorials: Codecademy, freeCodeCamp, Solo Learn.

Video Tutorials: YouTube channels like CS50, Traversy Media, and Programming with Mosh.

Practice Regularly

Coding Challenges: LeetCode, HackerRank, Codewars.

Projects: Start with simple projects like a calculator, to-do list, or personal website.

Join Coding Communities

Online Forums: Stack Overflow, Reddit (r/learn programming).

Local Meetups: Search for coding meetups or hackathons in your area.

Learn Version Control

Git: Learn to use Git and GitHub for version control and collaboration.

Study Best Practices

Clean Code: Learn about writing clean, readable code.

Design Patterns: Understand common design patterns and their use cases.

Build Real Projects

Portfolio: Create a portfolio of projects to showcase your skills.

Collaborate: Contribute to open-source projects or work on group projects.

Keep Learning

Books: “Automate the Boring Stuff with Python” by Al Sweigart, “Eloquent JavaScript” by Marijn Haverbeke.

Advanced Topics: Data structures, algorithms, databases, web development frameworks.

Sample Learning Plan for Python:

Week 1-2: Basics (Syntax, Variables, Data Types).

Week 3-4: Control Structures (Loops, Conditionals).

Week 5-6: Functions, Modules.

Week 7-8: Basic Projects (Calculator, Simple Games).

Week 9-10: Advanced Topics (OOP, Data Structures).

Week 11-12: Build a Portfolio Project (Web Scraper, Simple Web App).

Tips for Success:

Stay Consistent: Practice coding daily, even if it’s just for 15-30 minutes.

Break Down Problems: Divide problems into smaller, manageable parts.

Ask for Help: Don’t hesitate to seek help from the community or peers.

By following this structured approach and leveraging the vast array of resources available online, you'll be on your way to becoming proficient in coding. Good luck!

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[jph0]

What's a good and easy programming language to learn?

A good and easy programming language to start with is Python. Here are a few reasons why Python is an excellent choice for beginners:

Simple and Readable Syntax: Python’s syntax is clean and easy to understand, which makes it ideal for beginners. You can often accomplish more with fewer lines of code compared to other languages.

Versatile and Popular: Python is used in various fields, including web development, data science, artificial intelligence, scientific computing, and more. This versatility means you can transition into many different areas once you have a grasp of the basics.

Large Community and Resources: Python has a large and active community. This means there are plenty of tutorials, forums, and documentation available to help you learn.

Beginner-Friendly Tools: There are many beginner-friendly tools and environments available for Python, such as IDLE, Jupyter Notebooks, and various educational platforms.

Immediate Feedback: Python is an interpreted language, so you can run your code and see results immediately, which is great for learning and debugging.

If you’re looking to start learning Python, you might consider resources like Codecademy, Coursera, or books like “Automate the Boring Stuff with Python” by Al Sweigart.

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[itprofessionals1]

Best way to learn programming language

Learning to code can be a rewarding and valuable skill, but it may seem challenging at first. Here are some tips to help you learn to code more easily:

Choose the Right Programming Language:

1.Start with a beginner-friendly programming language like Python or JavaScript. These languages have clear syntax and a large community that provides plenty of resources and support.

Set Clear Goals:

2.Define your learning objectives. Are you interested in web development, data analysis, machine learning, or something else? Having a clear goal will help you focus your efforts.

Structured Learning:

3.Follow a structured curriculum or online course. Platforms like Codecademy, Coursera, edX, and Udacity offer courses for beginners.

Books and Documentation:

4.Consider reading books or official documentation for your chosen language. Books like "Automate the Boring Stuff with Python" and "Eloquent JavaScript" are excellent starting points.

Online Tutorials and Videos:

5.Websites like W3Schools, MDN Web Docs, and YouTube offer countless tutorials and video lessons on coding topics.

Practice Regularly:

6.Coding is a skill that improves with practice. Work on small coding projects and exercises to reinforce your learning.

Problem Solving:

7.Practice problem-solving through coding challenges on platforms like LeetCode, HackerRank, and Project Euler. These platforms help you apply what you've learned.

Ask for Help:

8.Don't be afraid to ask questions and seek help from online forums, coding communities, or mentors. Websites like Stack Overflow are great for getting answers to specific coding problems.

Break It Down:

9.Break complex problems into smaller, manageable tasks. This approach makes problem-solving more approachable.

Debugging Skills:

10.Learn how to debug code effectively. Debugging is an essential skill in coding, and it's okay to make mistakes; that's how you learn.

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[shalu620]

Mastering Python 3: A Comprehensive Beginner's Guide

Python 3 is a powerful and user-friendly programming language, making it an excellent choice for both beginners and seasoned developers. Its simplicity and versatility have made it a staple in various fields, from web development to data science. If you’re eager to dive into Python 3, this guide will help you navigate the learning process step-by-step.

Considering the kind support of Learn Python Course in Pune, Whatever your level of experience or reason for switching from another programming language, learning Python gets much more fun.

1. Grasp the Fundamentals

Starting with the basics is crucial:

Variables and Data Types: Learn to declare and use variables, and understand the different data types like integers, strings, floats, and booleans.

Control Structures: Get comfortable with control flow mechanisms such as if-else statements, loops (for and while), and defining functions.

2. Select the Right Learning Materials

Plenty of resources are available to guide you through Python:

Online Courses: Websites like Coursera, edX, and Udemy offer beginner-friendly Python courses with structured content.

Books: Some recommended reads are "Automate the Boring Stuff with Python" by Al Sweigart and "Python Crash Course" by Eric Matthes, both known for their practical approach.

Interactive Tutorials: Platforms like Codecademy and Learn Python provide interactive exercises to practice as you learn.

Official Documentation: The official Python website offers extensive tutorials and documentation, perfect for reference and deeper understanding.

3. Consistent Practice

Regular practice is key to mastering Python:

Coding Challenges: Engage with coding challenges on sites like LeetCode, HackerRank, and Codewars to sharpen your skills.

Personal Projects: Start with simple projects such as a calculator, to-do list app, or web scraper. These projects help solidify your understanding and demonstrate your abilities. Enrolling in the Best Python Certification Online can help people realise Python’s full potential and gain a deeper understanding of its complexities.

4. Join the Python Community

Being part of a community can significantly enhance your learning:

Online Forums: Participate in discussions on Stack Overflow, Reddit’s r/learnpython, and the Python.org forums to get help and share knowledge.

Meetups and Workshops: Attend local Python meetups or workshops to connect with other learners and professionals, and stay updated with industry trends.

5. Dive Into Advanced Topics

Once you're comfortable with the basics, explore more complex areas:

Object-Oriented Programming (OOP): Understand concepts like classes, objects, inheritance, and polymorphism to write more modular and reusable code.

Web Development: Learn frameworks like Django and Flask to build robust web applications and APIs.

Data Science: Use libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization.

Machine Learning: Experiment with TensorFlow and PyTorch to develop machine learning models and dive into artificial intelligence.

6. Keep Up with Updates

Stay informed and continuously improve:

Latest Versions: Keep track of the newest Python versions and updates to utilize the latest features and improvements.

Lifelong Learning: Adopt a mindset of continuous learning. Regularly challenge yourself with new projects and stay curious about emerging technologies.

7. Seek Assistance and Build a Portfolio

Don’t hesitate to ask for help and document your progress:

Community Support: Leverage the Python community to get support and feedback when needed.

Portfolio Creation: Build a portfolio of your projects to showcase your skills and practical experience. A strong portfolio can help you stand out to potential employers and collaborators.

Conclusion

Embarking on the journey to learn Python 3 is both exciting and rewarding. By following this guide and maintaining a steady learning routine, you'll establish a solid foundation in Python and open up numerous opportunities in the tech world.

Ready to start your Python adventure? Dive into the available resources, join the vibrant Python community, and begin building your skills today. Python 3 will empower you to innovate and achieve your goals in the ever-evolving landscape of technology.

[pandeypankaj]

On average, how long does it take for a newbie to learn the general fundamentals and functions of Python if it’s their first language?

It can very much differ how long it would take for a complete newbie to learn general fundamentals and functions of Python as their first language. There are so many factors on which it usually depends, including:

Prior programming experience: Anyone with prior experience in other programming languages might learn Python faster

Learning style: Some learn better with tutorials, others prefer direct project work.

Time Use: The amount of time you invest in the process is directly related to the speed at which you will be moving through. Resources: Quality and relevance of your learning materials can influence how fast you are going to learn it.

Generally speaking, learning the basics in Python may take a few weeks up to a few months. Once you have grasped the basics, you can continue deeper into the area that interests you, such as data science, web development, or machine learning.

Here is some material to get you started

Online Courses: Websites such as Coursera, edX, and Lejhro have various courses covering Python for beginners.

Tutorials and practice: There are websites like Codecademy and Learn Python.org offering interactive lessons with exercises included. 

Books: Books by Eric Matthes called "Python Crash Course" and "Automate the Boring Stuff with Python" by Al Sweigart are two popular books for beginners.

Bear in mind, what's most important is for you to be able to enjoy the learning process and practice on a regular basis. The more you are using Python, the more comfortable you become with it.