Python Video Tutorials

Explore the world of Python programming and its prominent role in various industries, including web development, data science, AI, and enterprise applications. Discover how Python is shaping the job market and the potential career prospects that come with mastering this versatile language.

Key Insights

  • Python is an open-source programming language widely used by data scientists, web developers, and other tech professionals for a range of tasks— from building websites to data analysis, automation, and machine learning.
  • Python's straightforward syntax and adaptability make it the top choice for those learning to code. The U.S. Bureau of Labor Statistics predicts a 13% growth rate for web developers requiring Python skills between 2020 and 2030.
  • Python has applications across numerous industries such as data science, AI & ML, web development, game development, and enterprise applications.
  • Video tutorials can be a helpful resource when learning Python, catering to all types of learners, including visual, auditory, and kinesthetic learners.
  • Noble Desktop offers numerous free resources and paid bootcamp-style training for hands-on experience with Python.
  • Mastering Python can open doors for careers in data science, software engineering, financial analysis, cybersecurity, etc. with Python developers earning an average salary of $114,000 per year.

Python is a programming language made available to the public by the Python Software Foundation. Because Python is an open-source language, its libraries and frameworks can be accessed at no charge. Watching video tutorials online is a popular method of learning Python. While some people prefer to learn visually and others are more auditory learners, videos typically provide both visual and auditory stimuli.

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

What is Python?

Python is one of the fastest-growing programming languages on the planet. Data Scientists, Web Developers, and other tech professionals use Python for a range of tasks—from building websites to data analysis, automation, and machine learning. Like Java and Ruby, Python is mainly an object-oriented programming language (OOP), which means it organizes around data (objects) instead of functions or logic.

Thanks to its straightforward syntax, adaptability, and the urgent need for Python skills in today’s job market, this essential language ranks as the number one choice for those learning to code. The U.S. Bureau of Labor Statistics predicts the average growth rate for Web Developers will be 13% between 2020 and 2030, and many of these positions demand Python. Other fields requiring Python include cybersecurity, software engineering, and business analysis.

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

What Can You Do with Python?

Python is a versatile language with a host of applications, but the most well-known include:

  • Data Science - Data science extends to numerous industries, and using Python to understand data is paramount. Python libraries like NumPy and Matplotlib enable Data Scientists and other professionals to use visualization to gain insights into data. Additional top Python libraries include TensorFlow, SciPy, Pandas, and Scikit-learn.
  • Artificial Intelligence (AI) & Machine Learning (ML) - Machine Learning Engineers and Architects use Python to build models. At the same time, AI Engineers and Architects may need this essential programming language for everything from assessing AI solutions to advanced automation.
  • Web Development - The use of Python in web development goes back to its beginnings. Frameworks like Django and Flask have famously provided web development for household name companies like Instagram, Dropbox, and Pinterest. Tech pros, including Developers, report that Python is easy to integrate with other languages like C/C++ and Java. Other top frameworks include Bottle, CherryPy, and Dash.
  • Game Development - Frameworks for game development include Pygame, PyKyra, and Panda3D, but there are numerous others. Python continues to support the gaming industry in meaningful ways.
  • Enterprise Applications - Enterprise-grade apps built with Python include leading technology stacks like Netflix, Microsoft, and Spotify.

Why Are Video Tutorials Helpful When Learning Python?

Videos can be helpful for learning Python, especially for those new to this popular programming language. To understand why video can be essential tools, consider the three most common types of learning styles:

  • Visual - Visual learners need to see information to retain it. While a visual learner may do fine reading an article, watching a video can be as beneficial or even better. A visual learner can pause or rewatch a video as often as needed, and many videos include visual elements that help them even more than an auditory learner.
  • Auditory - Auditory learners typically need to hear something to learn it. An auditory learner benefits from hearing a teacher in the classroom and doesn't necessarily need to see something to retain it. Most videos also benefit auditory learners since they usually offer both spoken and written or visual information.
  • Kinesthetic - Kinesthetic or tactile learners typically learn by doing. While some videos benefit auditory or visual learners more than kinesthetic learners, this isn’t always the case. Many instructional videos include hands-on exercises, and kinesthetic learners almost always benefit from those. These learners can also practice alongside the video with either dual monitors or having the two windows open side-by-side.

Most people have a learning style that emphasizes one of these three types, but no one learns solely through one style. Videos can benefit all three types, depending on their length, whether the videos are more visual or auditory, and whether they include hands-on training. Whichever learning style you favor, you can generally follow along with a video in real-time, and the price is usually right—free.

Types of Python Videos

Python videos and tutorials range from short introductions to hour-long classes and can offer an excellent introduction to Python programming.

Noble Desktop hosts a variety of free resources on its website. The Learn Hub on Noble’s website provides introductory information on multiple topics related to Python, including:

  • Why Python is a perfect skill to learn remotely
  • Python vs. Excel for data analytics
  • Best Python classes online
  • Range, IQR, & percentile in Python
  • Standard deviation & variance in Python

You can find hours of Python video tutorials on Noble’s YouTube channel. Their free Intro to Python Fundamentals seminar provides instruction on installing this essential programming language, along with important related subjects like the Anaconda platform, Jupyter Notebook, and how to run Python in Terminal. Additional video tutorials include Intro to SQL, Exchanging Excel for Python, Making a Twitter Bot in Python, and Get Started in Data Science.

Why Learn Python?

One of the world's most popular open-source programming languages, Python remains essential for nearly every industry, including public and private sector roles. Academia, electronics, government, manufacturing, and media are among the top areas where Python reigns. Python is an in-demand skill not only for Python Developers but also for Data Scientists, Software Engineers, Financial Analysts, and Cybersecurity Analysts.

Learning about Python fundamentals like scripts, modules, and variables prepares you for learning frameworks like Django and Flask, and libraries like NumPy, Pandas, and Matplotlib. As companies become more data-driven, the need for data visualization tools and the move to artificial intelligence and machine learning make Python one of the most attractive, flexible tools.

Read more about why you should learn Python.

How Difficult is It to Learn Python?

You might think Python will be difficult to master, especially if you lack coding experience. Fortunately, Python is one of the easiest programming languages to learn. You can master Python fundamentals in a few months or even less, though learning its many frameworks and libraries may take longer.

Before you begin studying Python, you should have a plan for how you’ll apply your newfound skills. Python training for a Data Scientist differs from that of a Financial Advisor or Cybersecurity Analyst. It’s also important to have basic computer skills, but your operating system won’t cause problems; Python runs on Windows, macOS, and Linux.

Python is one of many programming languages available for free. You can download its libraries and frameworks at no cost whatsoever. While you can find many free online Python seminars and tutorials, you’ll eventually want to enroll in some form of paid training. Python bootcamps and certificate programs provide hands-on experience, and you can master it in months or even weeks for under $5,000.

Read about how difficult it is to learn Python.

Learn Python with Hands-on Training at Noble Desktop

Noble Desktop offers multiple ways to learn Python, both in-person and online through teleconferencing. They provide Python training as an essential component of areas like data science and analytics, FinTech, cybersecurity, and web development. Their Python Programming Bootcamp offers hands-on Python training in an immersive environment. Beginners learn Python fundamentals in this 30-hour bootcamp, where participants develop project-based coding portfolios. Graduates receive a verified Certificate of Completion and can retake the course for up to a year at no additional charge.

Students can save by taking the Python Programming Bootcamp as part of Noble’s Python Developer Certificate program. The curriculum for this certificate includes a 60-hour unit on Python Web Development with Django. In this intensive course, you’ll learn about URL dispatchers and automation, along with GitHub and SQL. Attendees should have some experience with HTML and CSS before enrolling.

Additional courses featuring Python include Noble Desktop’s Python for Data Science Bootcamp, FinTech Bootcamp, and Data Science Certificate program. Students planning careers in data science, data analytics, cybersecurity, or financial analysis should consider enrolling in one of these programs to get comprehensive Python training.

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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