Python Programming Video Tutorials

Are you interested in learning Python programming and its applications in various careers? This article provides insights into Python programming classes, its relevance in different job positions, and an overview of how to navigate the learning process.

Python Programming Videos & Online Tutorials

If you’re interested in learning Python programming, you can easily find a wealth of knowledge about this powerful programming language online. Live or prerecorded video tutorials can help orient the novice to the world of object-oriented programming (OOP). 

Watching video tutorials online is one of the most popular methods of beginning a Python programming education. Those who learn best visually may appreciate that they can see the code in action, while auditory learners typically benefit from hearing an instructor. The combination of sound and visuals can even help those who learn by doing (kinesthetic/tactile).

This article will cover a range of Python programming videos, including what they teach and where to find them.

What is Python Programming?

Python has emerged as one of the most popular general-purpose programming languages worldwide. While Python is the language of choice for many Data Scientists and Data Analysts, it’s also essential for Web Developers and Software Developers. Python’s easy-to-use frameworks and libraries contribute to its success, and the worldwide community of Python pros ensures that novices can always find assistance.

The essential language ranks within the top three among those learning to code, and the Bureau of Labor Statistics predicts the average growth for Web Developers will be 13% from 2020 to 2030. Many of these jobs require Python programming skills. Other fields requiring Python include data science, artificial intelligence (AI), and machine learning (ML).

Read more about what Python programming is and why you should learn it.

What Can You Do with Python Programming?

Python is a high-level programming language with numerous applications. Its ease of use and scalability make it a popular choice among Back End Developers, Game Developers, and Software Engineers, among others. Companies ranging from Disney to JPMorgan Chase and Comcast need Python development pros for tasks like developing software, testing automation code, and developing back end elements in coordination with Front End Developers.

The most common areas for Python programming experts to find employment include:

  • Software Development - Software development with Python involves tools like Django, Git, and SQL. Software development professionals using Python can have titles like Python Developer, Full Stack Developer, or DevOps Engineer, among others. 
  • Web Development - Python pros famously used frameworks like Django and Flask to develop sites for companies like Instagram, Pinterest, and Dropbox. Positions for Python web development pros include:
    • Python Developer
    • Back End Developer
    • Solutions Architect
    • Web Developer
    • Game Developer
    • Software Engineer
    • Automation Engineer
  • Game Development - Python game development frameworks include Panda3D, Pygame, and PyKyra, to name a few. Tech pros with Python and game development expertise may have titles like Python Developer, XR Developer, or Video Game AI Engineer. 
  • Enterprise Applications -  Enterprise-grade apps built with Python include large technology stacks like Microsoft and Netflix. Titles for pros in this area include Applications Architect, Solutions Architect, and Enterprise Software Engineer, to name a few.

Why Are Video Tutorials Helpful When Learning Python Programming?

Different types of videos can help you in different ways when learning Python programming. Many beginners learn some Python fundamentals by video before ever signing up for formal training. Here are some of the reasons video tutorials are helpful.

  • You can pause or rewatch prerecorded video tutorials as many times as you like. Video resources can be interactive or non-interactive. While a prerecorded tutorial may not offer interactivity, the user’s ability to pause, rewatch, and take notes at any time provides a notable benefit.
  • Live video tutorials offer a high level of engagement. You can follow along with the livestream in real-time, and many course providers host a question and answer session at the end of the tutorial.
  • Videos can benefit any type of learner: visual, auditory, or kinesthetic/tactile. Many students feel themselves to be some combination of these categories, and video tutorials are excellent introductions.

Types of Python Programming Videos

Python programming videos range from short introductions to hour-long classes, and while some are interactive, others are not. Interactive live videos are typically live; non-interactive videos include pre-recorded sessions, although many of these are interactive at the time of broadcast.

Check out Noble Desktop’s Intro to Python Fundamentals tutorial from their YouTube channel. In this seminar, you’ll learn topics like:

  • How to install Python with Anaconda
  • Numeric data types
  • Using Jupyter Notebook
  • How to run Python in Terminal
  • Best Python practices

Other Python programming videos include Making a Twitter Bot In Python and Exchanging Excel for Python, which you can find alongside other resources in the Noble Desktop blog. 

Why Learn Python Programming?

Python is a programming language with a diverse range of uses, particularly when you account for the amount of different libraries and frameworks available within the language. Learning Python fundamentals like scripts, variables, and modules will prepare you for learning frameworks like Web2Py and Pyramid and libraries like Scikit-learn, NumPy, and PyTorch. As companies in virtually every sector become more data-driven, the need for Python pros increases. Whether you plan to work in finance, manufacturing, or media, Python programming skills can help you excel.

Today Python is in-demand not only for Python Developers, Software Engineers, and Game Developers but also for Data Scientists, Cybersecurity Analysts, and Business Analysts. Companies even expect Python development professionals outside the data science realm to have skills like artificial intelligence, machine learning, and deep learning. Owing to this significant increase in demand, there’s never been a better time to start learning about Python—especially if you plan to work in web or app development.

Read more about why you should learn Python programming.

How Difficult is It to Learn Python Programming?

Python has garnered a reputation as one of the easiest programming languages to learn. If you already know another language like C or JavaScript, you can learn it even faster. Programming novices often start with Python due to its beginner-friendly syntax and massive online support community. Python is an open source programming language and is therefore free for public use.

Strictly speaking, there are no prerequisites to learning Python programming. You can prepare for training by:

  • Learning principles of object-oriented programming
  • Making sure your computer is up to date for new downloads
  • Researching complementary tools like SQL and Git

To learn Python programming while getting practical experience, consider enrolling in a bootcamp or certificate program. These high-level courses provide training from experts who can help you navigate Python libraries and frameworks while preparing you for an entry-level position.

Read on for more about how difficult it is to learn Python programming.

Learn Python Programming with Hands-on Training at Noble Desktop

Noble Desktop offers numerous options for those looking to learn Python programming, both in-person and live online over teleconferencing applications like Zoom. They also provide a host of free resources online, including tutorials, seminars, and blog posts. 

Those interested in Python for development should consider one of the following options:

  • Python Programming Bootcamp - The Python Programming Bootcamp features multiple days worth of hands-on intensive training. Participants new to Python learn the fundamentals of object-oriented programming and will create a portfolio of projects and code samples. There is no prerequisite for this bootcamp but students can save by taking this course as part of Noble’s Python Developer Certificate, FinTech Bootcamp, or Data Science Certificate.
  • Python Developer Certificate - Noble Desktop’s Python Developer Certificate program is their flagship offering for Python programming on the server side. It combines the Python Programming Bootcamp with an advanced Python Web Development with Django course. The course has one prerequisite: attendees should feel comfortable with HTML/CSS, at the level offered in Noble’s Web Development with HTML & CSS class. Covered skills include:
    • Django
    • Django REST
    • VS Code
    • Git
    • GitHub
    • SQL

Additional programs that may be of interest to Python developers include:

  • Python Web Development with Django 
  • Software Engineering Certificate 

Those interested in Python for data science can get their training through multiple Noble Desktop programs, including: 

  • Data Science Certificate
  • Python for Data Science Bootcamp
  • Python Machine Learning Bootcamp
  • Python for Automation

Python for Finance and FinTech programs include: 

  • FinTech Bootcamp
  • Python for Finance Bootcamp

Python for Cybersecurity programs include:

  • Cybersecurity Bootcamp
  • Cybersecurity with Python
  • Python for Network Security
  • Offensive Security with Python

Noble Desktop’s bootcamps and certificate programs earn high marks from graduates. They are available live online or in-person in New York City. Additional perks include a Certificate of Completion upon graduation and free retakes for up to one year. Many certificates and bootcamps also feature 1-on-1 mentoring; check course descriptions for more details, including any prerequisite information.

How to Learn Python

Master Python with hands-on training. Python is a popular object-oriented programming language used for data science, machine learning, and web development. 

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