Watch Top 5 Python Libraries For Data Science | Best Data Science Libraries | Python Tutorial | SimpliCode Video Tutorial


Tutorial Details & Info

Tutorial Title: Top 5 Python Libraries For Data Science | Best Data Science Libraries | Python Tutorial | SimpliCode
Instructor / Channel: SimpliCode
Lesson Runtime: 16:18 Minutes
Publish Date: February 21, 2022
Total Students / Views: 361 views

Follow step-by-step with Top 5 Python Libraries For Data Science | Best Data Science Libraries | Python Tutorial | SimpliCode presented by SimpliCode. This full video course has a total duration of 16:18 minutes with detailed practical demonstrations. Access this full online lesson without any subscription or sign-up required.

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Course Description & Lesson Notes

Official Video Description:

In this video, you will learn the Top 5 Python Libraries For Data Science. Python has in-built libraries which are used by analysts everyday to solve complex problems. Below are the Python libraries for Data Science that we will cover in this SimpliCode: 00:00 Tensorflow 03:12 Numpy 06:48 Scipy 08:30 Pandas 11:51 Matplotlib 🔥Enroll for Free Python Course & Get Your Completion Certificate: https://www.simplilearn.com/learn-python-basics-free-course-skillup?utm_campaign=Top5PythonLibrariesForDSSimpliCode&utm_medium=VideoDescription&utm_source=youtube ✅Subscribe to our Channel to learn more programming languages: https://bit.ly/3eGepgQ ⏩ Check out the Python for beginners playlist: https://www.youtube.com/watch?v=Tm5u97I7OrM&list=PLEiEAq2VkUUKoW1o-A-VEmkoGKSC26i_I #PythonLibrariesForDataScience #Top5PythonLibrariesForDataScience #PythonProgramming #PythonLibraries #DataScience #SimpliCode What is Python? Python is a high-level object-oriented programming language developed by Guido van Rossum in 1989 and was first released in 1991. Python is often called a batteries included language due to its comprehensive standard library. A fun fact about Python is that The name Python was actually taken from the popular BBC comedy show of that time, "Monty Python's Flying Circus". Python is widely used these days from data analytics, machine learning, and web development. Python allows you to write programs in fewer lines of code than most of the programming languages. Python as a programming language is growing rapidly. It's the right time to get trained in Python. Why learn Data Science? Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. A Data Scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a Data Scientist you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data. Simplilearn’s Python Training Course is an all-inclusive program that will introduce you to the Python development language and expose you to the essentials of object-oriented programming, web development with Django and game development. Python has surpassed Java as the top language used to introduce U.S. students to programming and computer science. This course will give you hands-on development experience and prepare you for a career as a professional Python programmer. What is this course about? The All-in-One Python course enables you to become a professional Python programmer. Any aspiring programmer can learn Python from the basics and go on to master web development & game development in Python. Gain hands on experience creating a flappy bird game clone & website functionalities in Python. What are the course objectives? By the end of this online Python training course, you will be able to: 1. Internalize the concepts & constructs of Python 2. Learn to create your own Python programs 3. Master Python Django & advanced web development in Python 4. Master PyGame & game development in Python 5. Create a flappy bird game clone The Python training course is recommended for: 1. Any aspiring programmer can take up this bundle to master Python 2. Any aspiring web developer or game developer can take up this bundle to meet their training needs Learn more https://www.simplilearn.com/mobile-and-software-development/python-development-training?utm_campaign=Top5PythonLibrariesForDSSimpliCode&utm_medium=VideoDescription&utm_source=youtube Learn Data Science: https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training?utm_campaign=Python Libraries&utm_medium=VideoDescription&utm_source=youtube For more information about Simplilearn courses, visit: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn/ - Website: https://www.simplilearn.com - Instagram: https://www.instagram.com/simplilearn_elearning - Telegram Mobile: https://t.me/simplilearnupdates - Telegram Desktop: https://web.telegram.org/#/im?p=@simplilearnupdates Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Top 5 Python Libraries For Data Science | Best Data Science Libraries | Python Tutorial | SimpliCode taught by SimpliCode. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Top 5 Python Libraries For Data Science | Best Data Science Libraries | Python Tutorial | SimpliCode.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by SimpliCode with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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