#python tutorial online

[computercodingclass]

How to Sort List of Tuples in Python | Python List Tutorial | Python Tutorials for Beginners

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[small-basic-programming]

Post #159: MIMO, Online coding website, app and community, programming and script languages: Python, SQL, Web Development, JavaScript, HTML, 2023.

[vanilla-voyeur]

There are so, so, so many reasons why this incredibly fake story is incredibly fake. But I just keep reading the API technobabble and I can't stop laughing.

Mf out here bragging about how not only is their code unreadable and unmaintainable, but also their documentation is unreadable and undiscoverable. The problem that this creative writer has is that they need to be indispensable in this story, but unfortunately an indispensable programmer is uniquely gifted at making themself superfluous as quickly and efficiently as possible in as many contexts as possible.

The "nobody is familiar with Python" part is probably my favorite. Python is one of the easiest programming languages to learn. It's so easy that it's the language that engineers (real engineers like chemical engineers, biomedical engineers, material engineers, not software engineers developers) use to help them automate things in their work. Anyone who is familiar with any other programming language can pick up Python in under an hour. You who are familiar with zero programming languages could probably pick up a decent amount of Python in a month. Try it! It is probably easier than you think.

More reasons why this fake story is fake:

This is posted on r/antiwork. It's one of the subreddits infamous for fake stories of bad bosses

It's a multipart series. One of the tropes of fake Reddit stories is the escalating updates. Creative writers hear an encore and they keep going back for more

It's a bit ambiguous how long this person has been in industry, but given the context of missing multiple children's school functions, I think 10+ years of experience is a cautious estimate. That is long enough in software for you to be a team lead, if not a people manager yourself. This person should be training junior devs. They explicitly say that they aren't

Software is incredibly collaborative. There's no way a manager would turn down an offer to train new devs on the existing tooling

Moreover there's no way the code got push to production without several eyes on it. Most companies do either code reviews or pair programming or both. It makes no sense that zero other people understand what's going on with this code. Unless it's really buggy

The fact that someone tried to use it and it corrupted a CSV file (??) shows that it's actually really buggy. If the software was so good, anyone would be able to run it

That goes double for the documentation being so bad that nobody knows how to read it. The entire purpose of documentation is to explain how code works. You failed at your one job.

If the only documentation is something that's hard to find, that looks bad on OOP for two reasons: 1) Documentation is normally put inline next to the code precisely for the reason that it would be easy to find. Don't want to see what a nightmare their code with no inline docs looks like. 2) Their programming practices are so bad that their other documentation is hard to find. The program should have a file called README that either has all the documentation or tells you where to find all the documentation.

This violates NDA so bad

"Out of compliance" for what? Which regulation? Why do they have a deadline to regain compliance? They should already be suffering whatever fines or consequences or whatever for already being out of compliance. It would make more sense if they were at risk of being out of compliance if they didn't implement XYZ by January

There's a lot of weird wording here that indicates a lack of familiarity with software: "complex API", "documentation library", "single threaded". That's not how we use those terms

If you're a software developer for a company the size of Disney (ABC's parent) then what OOP asked for is your starting salary straight out of undergrad. Def not a raise for a senior engineer who's been in industry 10+ years. Def not more than their manager is making.

At a company that size, your direct manager has no ability to decide what the terms of your hiring agreement would be. Def not over text. It would need to go through HR and probably legal as well

"Legal checked the contract and there's a clause stating" lmao get outta here!

[innozantsblog]

Mastering Python: From Basics to Brilliance

Python is one of the most popular programming languages in the world today. Whether you're just starting your coding journey or looking to expand your skills, Python is a great choice. It's simple, powerful, and used in everything from web development to artificial intelligence.In this blog, we’ll explore how to master Python — starting with the basics and moving toward more advanced skills. Along the way, we’ll use trending keywords like Python tutorial, Python for beginners, Python projects, learn Python online, and Python programming to guide your path.

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[tpointtech1]

Python Tutorial with Real-World Examples and Projects

This Python Tutorial with Real-World Examples and Projects is designed to help you master Python programming through hands-on learning. Covering key concepts like data structures, loops, and functions, it includes practical projects in web development, automation, and data analysis. Use an Online Python Compiler to write and test code instantly. Perfect for beginners and experts looking to enhance their Python skills!

[tpointtech]

os.chmod() Method in Python

The os.chmod() method in Python is used to change the mode (permissions) of a specified file or directory. It takes two arguments: the file path and the permission mode. The permission mode can be specified using numeric (octal) values or symbolic strings like 'r', 'w', and 'x' for read, write, and execute permissions. This method is commonly used to modify access rights, such as setting files to be read-only or granting execute permissions for scripts.

[python-programming-language]

PYTHON - Code With Josh ...

Post #163: YouTube, Free Python course for beginner, Code with Josh, 2025.

[greatonlinetrainingsposts]

Integrating Python and SAS: A Powerful Combination for Data Science

The demand for data-driven decision-making is growing rapidly, and professionals need the best tools to analyze, visualize, and process data efficiently. SAS (Statistical Analysis System) has long been a leader in statistical analysis and business intelligence, offering robust capabilities for structured data processing. On the other hand, Python has become the go-to programming language for data science, machine learning, and AI applications due to its flexibility and extensive libraries.

By integrating SAS and Python, businesses can leverage the best of both worlds, combining SAS’s structured analytical power with Python’s data science capabilities. This integration is transforming industries by enabling deeper insights, automation, and enhanced decision-making. Whether you're a data analyst, scientist, or business leader, understanding how to connect these two powerful platforms can open up new opportunities for innovation and efficiency.

Why Integrate Python with SAS?

Python and SAS offer distinct advantages that, when combined, create a powerful analytics ecosystem.

Key Advantages of SAS

Structured Data Processing: SAS provides a highly efficient environment for handling large datasets, ensuring structured data processing with reliability and accuracy.

Statistical Modeling: SAS includes advanced statistical analysis tools that are widely used in industries like finance, healthcare, and government analytics.

Enterprise-Grade Security: SAS is known for its robust security features, making it a preferred choice for organizations dealing with sensitive data.

Key Advantages of Python

Flexibility & Open-Source Ecosystem: Python’s extensive libraries like Pandas, NumPy, TensorFlow, and Scikit-learn make it a versatile choice for data science and AI applications.

Advanced Machine Learning Capabilities: Python excels in deep learning, natural language processing (NLP), and predictive analytics.

Visualization & Reporting: Libraries like Matplotlib and Seaborn allow users to create interactive and insightful visual reports.

How Integration Enhances Data Science

By combining the strengths of SAS and Python, businesses can:

Automate Workflows: Use Python scripts to preprocess data, then run statistical models in SAS.

Enhance Analytics Capabilities: Integrate machine learning algorithms in Python with SAS’s statistical tools for deeper insights.

Optimize Decision-Making: Leverage both structured SAS data and unstructured data sources processed through Python for a holistic analytical approach.

For professionals looking to master this integration, SAS Programming Tutorial resources provide step-by-step guidance on leveraging Python with SAS efficiently.

How Python and SAS Work Together

There are several ways to integrate SAS and Python, depending on business needs and technical requirements.

1. SASPy – Python Library for SAS

SASPy is an open-source Python package that allows users to connect to SAS and run SAS code within Python scripts. It bridges the gap between the two platforms by enabling:

Direct execution of SAS commands within Python.

Import and manipulation of SAS datasets in Python environments.

Seamless interaction between SAS procedures and Python functions.

This method is ideal for data scientists who prefer coding in Python but still want to leverage SAS’s structured analytics capabilities.

2. Jupyter Notebook with SAS Kernel

Jupyter Notebook is a widely used tool in the data science community. By installing the SAS Kernel, users can:

Write and execute SAS code directly in Jupyter.

Combine Python and SAS scripts within the same document.

Create interactive data visualizations using Python’s powerful plotting libraries.

This integration is particularly useful for researchers and analysts who require a collaborative, interactive environment for data exploration and reporting.

3. Using REST APIs for SAS Viya

SAS Viya is a cloud-based analytics platform that supports REST APIs, allowing Python applications to communicate with SAS. Businesses can:

Access SAS functions from Python-based dashboards or applications.

Deploy machine learning models built in Python within SAS environments.

Scale big data analytics using cloud-based infrastructure.

This approach is highly beneficial for organizations that require scalable and automated data processing capabilities.

Key Benefits of SAS and Python Integration

By integrating SAS and Python, businesses unlock several advantages:

Enhanced Flexibility

Python’s open-source nature allows for customization and scalability, complementing SAS’s structured analytics.

Advanced Data Processing

Python’s data science libraries enhance SAS’s data handling capabilities, allowing for more complex and faster analysis.

Improved Visualization

Python’s Matplotlib, Seaborn, and Plotly enable richer, interactive reports compared to SAS’s traditional visualization tools.

Powerful Machine Learning

Python’s TensorFlow and Scikit-learn support AI and deep learning, which can be integrated into SAS analytics workflows.

Use Cases of Python and SAS Integration

Many industries benefit from combining SAS and Python for data analytics and decision-making.

1. Healthcare Analytics

Python processes electronic health records (EHRs), while SAS builds predictive models to forecast disease outbreaks.

AI-powered analysis in Python detects patterns in patient data, allowing for early diagnosis and treatment planning.

2. Financial Fraud Detection

Python’s machine learning models analyze transaction patterns for anomalies.

SAS ensures compliance with regulatory standards while improving fraud detection accuracy.

3. Retail Customer Insights

Python clusters customer data for segmentation and personalized marketing.

SAS refines sales strategies based on customer analytics, optimizing demand forecasting.

These real-world applications highlight how Python and SAS together create smarter, data-driven solutions.

Challenges and Best Practices

Despite its advantages, integrating Python with SAS comes with challenges that businesses must address:

1. Version Compatibility

Ensure Python libraries support SAS environments to avoid compatibility issues.

Regularly update SAS and Python packages for smoother integration.

2. Performance Optimization

Use cloud-based SAS Viya for processing large datasets efficiently.

Optimize Python scripts to reduce execution time within SAS environments.

3. Security Concerns

Implement authentication and encryption when transferring data between SAS and Python.

Follow data governance policies to maintain compliance with industry regulations.

Organizations can overcome these challenges by following structured learning paths, such as SAS Tutorial Online, to build expertise in both platforms.

Future of Python and SAS Collaboration

The future of data analytics lies in hybrid approaches that blend different technologies. As AI, big data, and cloud computing continue to evolve, the demand for Python and SAS integration will grow. Businesses that embrace this collaboration will lead in innovation, leveraging real-time analytics, predictive modeling, and automation for better decision-making.

By mastering SAS and Python together, data professionals can build cutting-edge solutions that drive efficiency and business success.

[computercodingclass]

Lambda Function with List Comprehension in Python | Lambda Function in Python | List Comprehension

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[kidstuttoo8]

Learn Java with an Expert Programming Tutor - Kidstuttoo

Master Java programming with a dedicated Java programming tutor from Kidstuttoo. Receive personalized guidance and hands-on practice to advance your coding skills. Our experienced tutors provide tailored lessons to help you understand complex concepts and develop practical programming expertise. Start your journey to becoming a proficient Java developer today!

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[codeyoung1]

Give Teens with Code: Codeyoung's Dynamic Computer Programming Classes.

Codeyoung's engaging and informative Computer Programming Classes For Teenagers open up a world of possibilities for your teenagers. Our expert-led courses combine fun and study, providing teens with the necessary coding skills for effectively navigating the digital environment. If you want to provide your teenagers with high-quality programming education, look at Codeyoung.

[rahulacademy]

The Role of AI in Modern Software Testing Practices

AI is reshaping the way software testing is done. With AI automated testing, businesses can achieve higher efficiency, better accuracy, and faster software releases. Whether it’s AI software testing, AI generator testers, or AI-driven automation, the future of software testing is AI-powered.

[tpointtech1]

https://bipfortworth.com/python-tutorial-with-real-world-examples-and-projects

Python Tutorial with Real-World Examples and Projects

This Python Tutorial with Real-World Examples and Projects helps you master Python programming with practical applications. Covering essential topics like data types, loops, functions, and object-oriented programming, it guides you through real-world projects such as web development, automation, and data analysis. Whether you're a beginner or an experienced coder, this tutorial enhances your skills using an Online Python Compiler for hands-on coding practice. Start learning Python today!

[tpointtech]

NumPy.nonzero() Method in Python

The numpy.nonzero() method in Python returns the indices of non-zero elements in an array. It returns a tuple of arrays, one for each dimension, where each array contains the indices of the non-zero elements along that axis. This method is particularly useful for sparse data or when you need to extract the locations of non-zero values for further processing or analysis. It helps efficiently handle large arrays, avoiding unnecessary operations on zero values and optimizing memory usage.