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Free Download Udemy - Learn 50 Hot Python Topics in 50 Days Published: 4/2025 Created by: Python School MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 216 Lectures ( 41h 49m ) | Size: 16.3 GB Learn the Hottest Topics of Python in just 50 Days from automation and data science to game development and Other Topics What you'll learn Learn 50 Most Hot Python Topics in Just 50 Days Learn Web and Desktop Automation in Python Learn Data Analytics and Processing in Python Learn GUI and Game Development in Python Learn Data Visualization in Python Learn to Control Operating System in Python Learn Many Other Advance Level Topics Requirements Basics of any Programming Language is Required Description Are you ready to supercharge your Python skills and take your programming expertise to the next level? If you've ever wanted to dive deep into Python and explore the hottest, most in-demand topics in the industry, then this course is for you!Python is one of the most powerful, versatile, and easy-to-learn programming languages in the world. It is widely used in fields such as web development, automation, artificial intelligence, cybersecurity, blockchain development, game programming, and so much more!In this 50-day intensive training program, you'll master 50 of the hottest Python topics that will open doors to countless career opportunities. Whether you're a beginner looking to build a strong foundation or an experienced developer wanting to expand your skill set, this course will provide hands-on projects, real-world examples, and deep practical knowledge to help you become a Python expert.This course is structured into 50 powerful lessons, each covering a trending and essential Python topic.1. Learn Web and Desktop Automation in PythonAutomation is one of the biggest time-saving techniques in today's digital world. Python makes it easy to automate repetitive tasks and streamline your workflow.=>Web Automation with Selenium=>Automating Desktop Applications with PyAutoGUI=>Working with the keyboard and mouse modules=> Automating File Handling and Text Processing2. Learn Data Analytics and Processing in PythonData is the new oil, and Python is the best tool for extracting, cleaning, and analyzing it.=> Pandas for Data Processing and Analysis=> NumPy for Scientific Computing =>Working with APIs and JSON Data =>Web Scraping with BeautifulSoup and Scrapy3. Learn GUI and Game Development in PythonBuild stunning desktop applications and engaging games using Python's graphical libraries. =>Creating GUI Applications with Tkinter =>Developing Advanced GUIs with Turtle =>Game Development with Pygame =>Mobile App Development in Python with Kivy4. Learn Data Visualization in PythonTurn raw data into stunning and insightful visualizations using Python. =>Creating Graphs and Charts with Matplotlib and Bokeh =>Interactive Data Visualization with Plotly =>Creating Dashboards with Seaborn =>Real-time Data Visualization5. Learn Many Other Advanced Level TopicsBeyond the basics, we'll dive into cutting-edge Python technologies and frameworks. =>Operating System with OS and Shutil Module =>Pattern Matching with Regular Expression =>Thread and Socket Programming =>Open Computer Vision and Many Other Topics Who this course is for Anyone who wants to learn Advanced and Hot Python Concepts Anyone who wants to learn Web and Desktop Automation in Python Anyone who wants to learn Data Analytics and Processing in Python Anyone who wants to learn GUI and Game Development in Python Anyone who wants to learn to learn Data Visualization in Python Anyone ready to take his Python Level to an Advanced Level by learn many other Advance Level Concepts Homepage: https://www.udemy.com/course/learn-50-hot-python-topics-in-50-days/ [b]AusFile[/b] https://ausfile.com/dy0uvc2g5cgr/sywhi.Learn.50.Hot.Python.Topics.in.50.Days.part01.rar.html 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Free Download Siemens NX - Advanced Python topics Published 10/2024 Created by Frederik Vanhee MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 7 Lectures ( 44m ) | Size: 405 MB ONLY for EXPERIENCED developers with in depth knowledge of NXOPEN and Python What you'll learn Setup and use NX with external Python interpreter Use the nxopentse Python package Debugging NXOpen using Python Creating UI's using Python - to be added in the future HTTP requests within NXOpen - to be added in the future Requirements Experienced NXOpen user Experienced Python user Knowlege of pip and Python packages Description This course consists of a collection of loose topics covering advanced NXOpen concepts in Python. This course is only for seasoned developers which have already a lot of experience using NXOpen AND Python.The first section contains step by step instructions on how to point NX or Simcenter to the external python interpreter. Once this is done, you can start using external packages like nxopentse or numpy, and unlock the full potential of Python within your NX or Simcenter environment.The second section is a short demonstration of nxopentse, showing some of the functionality of this package and the power of working together on a code base.I'm building a community of NXOpen developers using Python. By working together we can leverage the power of the community and experts to create a fantastic library of NXOpen Python functions. This library is nxopentse and is open source, so it is free for everyone to use.Whether you are a seasoned developer, or taking your first steps, your help is welcome. You can contribute by adding code, testing, giving feedback,...Just like the African proverb goes: "If you want to go fast, go alone, if you want to go far, go toghether", we can go much further if we work together and join forces on the code in nxopentse. I hope to be able to build a community of NXOpen Python developers which becomes the reference go to place for NXOpen in Python.The third section will show the benefits of using nxopentse in Simcenter3D to non Python users. This is closely linked to my "Simcenter3D basic NXOpen course (C#)" (still to be completed)The fourth section shows how to get debugging to work with NXOpen journals.The fifth section (still to be completed) will show how to create windows using tKinterThe sixth section (still to be completed) will show how to performhttp requests from within NX. Who this course is for NXOpen developers with significant experience using Python Homepage https://www.udemy.com/course/siemens-nx-advanced-python-topics/ Screenshot Rapidgator https://rg.to/file/21ba748133fa3fb7bbca8b1516ab3d23/qfxus.Siemens.NX..Advanced.Python.topics.rar.html Fikper Free Download https://fikper.com/fz8D6IslB5/qfxus.Siemens.NX..Advanced.Python.topics.rar.html No Password - Links are Interchangeable

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