#6 Installing Atom on mac | Python Tutorial for Beginners | Python Basics By Team Debug it

How to install atom on mac for python. #6 Installing Atom on mac | Python Tutorial for Beginners | Python Basics By Team Debug it. The Python Tutorial To Learn How To Write Python Code and Build 10 Real World Applications. The Python Tutorial: Build 10 Real World Applications The only Python tutorial covering web, databases, web scraping, data science, web visualizations, image processing & more! This is not just another Python tutorial that shows how to write Python code. This is a carefully designed tutorial that will train you to develop real life applications with Python. Through a combination of videos, real world code examples, quizzes, exercises, and a final project, this tutorial makes sure you are able to think Python, and design and build real world applications by the end of it. After you buy the course, you will have lifetime access to it and to the course cheat sheet ebook containing all the code consumed throughout the course. You can use that book for quick look-up of Python commands. The tutorial is designed for all student levels. The first 5% of the tutorial teaches Python basics for beginners and can serve as a refresher crash course for post-beginner students. After completing the first 5%, you will be guided in building 10 real world applications in a wide range of areas that include: Web applications Desktop applications Database applications Web scraping Web mapping Data analysis Interactive web visualization Computer vision for image and video processing Object Oriented Programming By the end of the tutorial you will have built 10 useful applications in the above areas. The applications you are going to build are as follows: A name generator A website URL timed blocker A web map generator A portfolio website with Flask A GUI-based desktop application A webcam motion detector A web scraper of property An interactive web-based financial chart A data collector web application A geocoding web service. What will you get from this course?: Become a Python professional able to independently develop complex applications on Python 3. Build 10 real world Python applications in a wide range of areas. Use Python for building web applications with Flask. Use Python for building desktop applications with Tkinter. Use Python for database applications. Use Python for scientific computing with Numpy. Use Python for data analysis and interactive data visualizations with Pandas and Bokeh. Use Python for building interactive web maps with Folium. Use Python for scraping data from websites with Beautiful Soup. Use Python for computer vision with OpenCV. Use Python for sending automated emails with Smtplib. Use Python to download data from various data service APIs. Use Python to analyze and visualize stock market data. Use Python for batch geocoding of addresses with Geopy. Use Python to schedule programs based on computer events. Use and fully understand object-oriented design.

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