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    Explore "python" with insightful episodes like "How to Colorize a Black and White Photo", "A Quick Comparison of Streamlit, Dash, Reflex and Rio", "How to Split String Every Nth Character in Python", "How to Connect to Oracle, MySql and PostgreSQL Databases Using Python" and "Can You Open Medical Data (MR, CT, X-Ray) in Python and Find Tumors With AI?! Maybe" from podcasts like ""Programming Tech Brief By HackerNoon", "Programming Tech Brief By HackerNoon", "Programming Tech Brief By HackerNoon", "Programming Tech Brief By HackerNoon" and "Programming Tech Brief By HackerNoon"" and more!

    Episodes (16)

    How to Colorize a Black and White Photo

    How to Colorize a Black and White Photo

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-colorize-a-black-and-white-photo.
    Colorizing black and white photos using DeOldify and Python
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #python, #ml, #how-to-colorize-pohots, #what-is-deoldify, #transforming-images, #colorizing-photos-using-python, #hackernoon-top-story, #python-tutorials, and more.

    This story was written by: @alexk0. Learn more about this writer by checking @alexk0's about page, and for more stories, please visit hackernoon.com.

    DeOldify is a tool that lets you colorize old photos with a few clicks. It's free and open-source, and all you need to do is write a little Python code.

    A Quick Comparison of Streamlit, Dash, Reflex and Rio

    A Quick Comparison of Streamlit, Dash, Reflex and Rio

    This story was originally published on HackerNoon at: https://hackernoon.com/a-quick-comparison-of-streamlit-dash-reflex-and-rio.
    Streamlit, Dash, Reflex and Rio. A comparison of python web app frameworks .
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #streamlit, #reflex, #dash, #python, #web-apps, #data-science, #programming, #plotly-dash, and more.

    This story was written by: @d4vid. Learn more about this writer by checking @d4vid's about page, and for more stories, please visit hackernoon.com.

    Many Data scientists lack a background in computer science or software engineering. Rio, Reflex, Streamlit, and Dash are frameworks for creating web apps in python.

    How to Split String Every Nth Character in Python

    How to Split String Every Nth Character in Python

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-split-string-every-nth-character-in-python.
    Learn 3 easy ways to split string every nth character in Python using list comprehensions, wrap function and regular expressions.
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #python, #programming, #python-programming, #python-tutorials, #string-splitting, #python-strings, #python-string-splitting, #how-to-split-strings, and more.

    This story was written by: @techosha. Learn more about this writer by checking @techosha's about page, and for more stories, please visit hackernoon.com.

    Learn three different ways to split a string in Python at every Nth character. You can do this using list comprehensions, wrap() function or regular expressions.

    How to Connect to Oracle, MySql and PostgreSQL Databases Using Python

    How to Connect to Oracle, MySql and PostgreSQL Databases Using Python

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-connect-to-oracle-mysql-and-postgresql-databases-using-python.
    To connect to a database and query data, you need to begin by installing Pandas and Sqlalchemy.
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #python, #database, #oracle, #mysql, #postgresql, #data-engineering, #data-analyst, #data-analysis, and more.

    This story was written by: @luca1iu. Learn more about this writer by checking @luca1iu's about page, and for more stories, please visit hackernoon.com.

    To connect to a database and query data, you need to begin by installing Pandas and Sqlalchemy.

    Can You Open Medical Data (MR, CT, X-Ray) in Python and Find Tumors With AI?! Maybe

    Can You Open Medical Data (MR, CT, X-Ray) in Python and Find Tumors With AI?! Maybe

    This story was originally published on HackerNoon at: https://hackernoon.com/can-you-open-medical-data-mr-ct-x-ray-in-python-and-find-tumors-with-ai-maybe.
    How to access medical data in DICOM format (MR, CT, X-Ray) from Python
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #programming, #python, #medical-technology, #artificial-intelligence, #data-science, #machine-learning, #health-tech, #hackernoon-top-story, #hackernoon-es, #hackernoon-hi, #hackernoon-zh, #hackernoon-fr, #hackernoon-bn, #hackernoon-ru, #hackernoon-vi, #hackernoon-pt, #hackernoon-ja, #hackernoon-de, #hackernoon-ko, #hackernoon-tr, and more.

    This story was written by: @thebojda. Learn more about this writer by checking @thebojda's about page, and for more stories, please visit hackernoon.com.

    When a programmer hears about processing medical data, they might think it's something serious, something that only universities and research institutes can handle (at least, that's what I thought). As you can see, we're talking about simple grayscale images, which are very easy to process and ideal for things like neural network processing.

    How to Build a 2FA Application in Python

    How to Build a 2FA Application in Python

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-build-a-2fa-application-in-python.
    Sometimes the best way to learn how to code something is by looking at an example, so we’ve created a sample application on GitHub.
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #plivo, #good-company, #programming, #technology, #2fa, #two-factor-authentication, #python, #cybersecurity, #hackernoon-es, and more.

    This story was written by: @plivo. Learn more about this writer by checking @plivo's about page, and for more stories, please visit hackernoon.com.

    It’s easier than you might think to add two-factor authentication (2FA) to your applications. The secret is to use APIs provided by a cloud communications platform like Plivo. Sometimes the best way to learn how to code something is by looking at an example, so we’ve created a sample application on GitHub. To use it, you need a Plivo account; you can sign up for free and get enough free credits to lease a phone number with which to send or receive messages and build some starter applications. If this is your first time using Plivo APIs, Plivo’s documentation provides instructions on how to set up a Python development environment, including installing the Plivo Python SDK, setting up a Flask server, and installing ngrok, which exposes local servers running behind NATs and firewalls to the public internet over secure tunnels.

    Saving Dataframes into Oracle Database with Python

    Saving Dataframes into Oracle Database with Python

    This story was originally published on HackerNoon at: https://hackernoon.com/saving-dataframes-into-oracle-database-with-python.
    Here are two common errors that you'll want to watch out for when using the to_sql method to save a data frame into an Oracle database.
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #python, #database, #pandas, #data-analysis, #data-analyst, #data-engineering, #sql, #oracle, and more.

    This story was written by: @luca1iu. Learn more about this writer by checking @luca1iu's about page, and for more stories, please visit hackernoon.com.

    How to Use Python to Retrieve Data Through Tableau REST API

    How to Use Python to Retrieve Data Through Tableau REST API

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-use-python-to-retrieve-data-through-tableau-rest-api.
    In this blog, we will walk through the process of using Python to extract data from the Tableau Server
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #python, #tableau, #rest-api, #business-intelligence, #tableau-server, #how-to-retrieve-views, #creating-a-dataframe, #data-analyst, and more.

    This story was written by: @luca1iu. Learn more about this writer by checking @luca1iu's about page, and for more stories, please visit hackernoon.com.

    Python can be a powerful tool for automating this process using Tableau's REST API. In this blog, we will walk through the process of using Python to extract data from the Tableau Server. The following examples demonstrate how to retrieve information about views, projects, and workbooks.

    Accessing Power BI Data with Python & Power BI REST API

    Accessing Power BI Data with Python & Power BI REST API

    This story was originally published on HackerNoon at: https://hackernoon.com/accessing-power-bi-data-with-python-and-power-bi-rest-api.
    The Power BI Report Server REST API enables developers to programmatically access and manage the report server catalog.
    Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #python, #power-bi, #rest-api, #api, #requests, #power-bi-data, #power-bi-rest-api, #python-data-anyltics, and more.

    This story was written by: @luca1iu. Learn more about this writer by checking @luca1iu's about page, and for more stories, please visit hackernoon.com.

    The Power BI Report Server REST API enables developers to programmatically access and manage the report server catalog.

    679: Creator of Swift, Tesla Autopilot & Tensorflow. New AI language Mojo with Chris Lattner

    679: Creator of Swift, Tesla Autopilot & Tensorflow. New AI language Mojo with Chris Lattner

    In this supper club episode of Syntax, Wes and Scott talk with Chris Lattner about Mojo, a new programming language for AI developers. Should developers learn Python? Where does Mojo run? What is Chris excited about in AI’s future?

    Show Notes

    ××× SIIIIICK ××× PIIIICKS ×××

    • Exercise

    Shameless Plugs

    Tweet us your tasty treats

    Supper Club × OpenAI, Future of programming, LLMs, and Math with Andrey Mishchenko

    Supper Club × OpenAI, Future of programming, LLMs, and Math with Andrey Mishchenko

    In this supper club episode of Syntax, Wes and Scott talk with Andrey Mishchenko about working at OpenAI, getting started in machine learning, what RLHF is, the impact of plugins on ChatGPT, and what the future holds for developers in a world with ChatGPT tools.

    Show Notes

    ××× SIIIIICK ××× PIIIICKS ×××

    Shameless Plugs

    Tweet us your tasty treats

    #341 – Guido van Rossum: Python and the Future of Programming

    #341 – Guido van Rossum: Python and the Future of Programming
    Guido van Rossum is the creator of Python programming language. Please support this podcast by checking out our sponsors: - GiveDirectly: https://givedirectly.org/lex to get gift matched up to $1000 - Eight Sleep: https://www.eightsleep.com/lex to get special savings - Fundrise: https://fundrise.com/lex - InsideTracker: https://insidetracker.com/lex to get 20% off - Athletic Greens: https://athleticgreens.com/lex to get 1 month of fish oil EPISODE LINKS: Guido's Twitter: https://twitter.com/gvanrossum Guido's Website: https://gvanrossum.github.io/ Python's Website: https://python.org PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: - Check out the sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (07:26) - CPython (12:38) - Code readability (17:00) - Indentation (33:36) - Bugs (45:04) - Programming fads (1:00:15) - Speed of Python 3.11 (1:25:09) - Type hinting (1:30:27) - mypy (1:35:43) - TypeScript vs JavaScript (1:51:42) - Best IDE for Python (2:01:43) - Parallelism (2:19:36) - Global Interpreter Lock (GIL) (2:29:14) - Python 4.0 (2:41:31) - Machine learning (2:51:13) - Benevolent Dictator for Life (BDFL) (3:02:49) - Advice for beginners (3:09:21) - GitHub Copilot (3:12:47) - Future of Python

    #250 – Peter Wang: Python and the Source Code of Humans, Computers, and Reality

    #250 – Peter Wang: Python and the Source Code of Humans, Computers, and Reality
    Peter Wang is the co-founder & CEO of Anaconda and one of the most impactful leaders and developers in the Python community. Also, he is a physicist and philosopher. Please support this podcast by checking out our sponsors: - Quip: https://getquip.com/lex to get first refill free - Magic Spoon: https://magicspoon.com/lex and use code LEX to get $5 off - GiveWell: https://www.givewell.org/ and use code LEX to get donation matched up to $1k - Four Sigmatic: https://foursigmatic.com/lex and use code LexPod to get up to 60% off - BetterHelp: https://betterhelp.com/lex to get 10% off EPISODE LINKS: Peter's Twitter: https://twitter.com/pwang Anaconda's Website: https://www.anaconda.com/ Books & resources mentioned: Zen and the Art of Motorcycle Maintenance (book): https://amzn.to/3EnCELK Lila (book): https://amzn.to/30VKIpE PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: - Check out the sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (06:49) - Python (10:20) - Programming language design (30:22) - Virtuality (40:22) - Human layers (47:21) - Life (52:45) - Origin of ideas (55:17) - Eric Weinstein (1:00:16) - Human source code (1:04:13) - Love (1:18:32) - AI (1:31:55) - Meaning crisis (1:54:28) - Travis Oliphant (2:00:53) - Python continued (2:30:36) - Best setup (2:37:54) - Advice for the youth (2:46:28) - Meaning of Life

    #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming

    #224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming
    Travis Oliphant is a data scientist, entrepreneur, and creator of NumPy, SciPy, and Anaconda. Please support this podcast by checking out our sponsors: - Novo: https://banknovo.com/lex - Allform: https://allform.com/lex to get 20% off - Onnit: https://lexfridman.com/onnit to get up to 10% off - Athletic Greens: https://athleticgreens.com/lex and use code LEX to get 1 month of fish oil - Blinkist: https://blinkist.com/lex and use code LEX to get 25% off premium EPISODE LINKS: Travis's Twitter: https://twitter.com/teoliphant Travis's Wiki Page: https://en.wikipedia.org/wiki/Travis_Oliphant NumPy: https://numpy.org/ SciPy: https://scipy.org/about.html Anaconda: https://www.anaconda.com/products/individual Quansight: https://www.quansight.com PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: - Check out the sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (07:06) - Early programming (28:47) - SciPy (45:41) - Open source (57:23) - NumPy (1:34:39) - Guido van Rossum (1:46:57) - Efficiency (1:55:49) - Objects (2:02:47) - Numba (2:11:53) - Anaconda (2:16:20) - Conda (2:31:56) - Quansight Labs (2:35:32) - OpenTeams (2:43:05) - GitHub (2:48:35) - Marketing (2:53:13) - Great programming (3:04:03) - Hiring (3:08:01) - Advice for young people

    Jeremy Howard: fast.ai Deep Learning Courses and Research

    Jeremy Howard: fast.ai Deep Learning Courses and Research
    Jeremy Howard is the founder of fast.ai, a research institute dedicated to make deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a former president of Kaggle as well a top-ranking competitor there, and in general, he's a successful entrepreneur, educator, research, and an inspiring personality in the AI community. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on iTunes or support it on Patreon.

    Guido van Rossum: Python

    Guido van Rossum: Python
    Guido van Rossum is the creator of Python, one of the most popular and impactful programming languages in the world. Video version is available on YouTube. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, or YouTube where you can watch the video versions of these conversations.