Python 3: Programming in Python for Beginners
This course is perfect for those looking to learn Python quickly and easily. It covers all the basics of programming in Python, allowing students to gain the skills needed to start earning money in no time. With this course, you can save time and start your journey to becoming a successful Python programmer. ▼
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Course Feature
Cost:
Free Trial
Provider:
Skillshare
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Skillshare platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
This Python 3: Programming in Python for Beginners course is designed for those who don't have any prior knowledge about programming. It is presented by a young man who shares his knowledge, so the language used can be easily understood by everyone. The course covers topics such as how to import and use basic Python libraries, functions, arithmetic, logical and relational operators, strings, conditions, lists, collections, tuples, dictionaries, advanced expressions, loops, files, random events, JSON format, PyPi packages, Visual Studio Code in Python and more. It also includes a lot of practical exercises. After the course, participants will be able to understand and use Python in a fast and easy way. Python is used by Google, Facebook, Dropbox, Yahoo, NASA, IBM, Mozilla, Reddit and more. Join now and become an expert in Python.
[Applications]
After completing this Python course, learners will be able to apply their knowledge to create programs in Python, understand the basics of programming, and use Python libraries to solve complex problems. They will also be able to use Visual Studio Code in Python, install external PyPi packages, and handle JSON format. Additionally, learners will be able to create random events on a mini game, operate on strings, and handle files.
[Career Paths]
The career paths recommended to learners of this course are:
1. Python Developer: Python developers are responsible for writing and testing code, debugging programs and implementing software solutions. They use Python to develop software applications, web applications, and websites. Python developers are in high demand due to the increasing popularity of Python as a programming language. The developing trend for Python developers is to have a good understanding of web development frameworks such as Django and Flask, as well as knowledge of databases such as MySQL and MongoDB.
2. Data Scientist: Data scientists use Python to analyze large datasets and uncover patterns and trends. They use Python to develop machine learning algorithms and build predictive models. Data scientists are in high demand due to the increasing need for data-driven decision making. The developing trend for data scientists is to have a good understanding of big data technologies such as Hadoop and Spark, as well as knowledge of data visualization tools such as Tableau and Matplotlib.
3. Software Engineer: Software engineers use Python to develop software applications and websites. They use Python to write code, debug programs, and implement software solutions. Software engineers are in high demand due to the increasing need for software development. The developing trend for software engineers is to have a good understanding of web development frameworks such as Django and Flask, as well as knowledge of databases such as MySQL and MongoDB.
4. DevOps Engineer: DevOps engineers use Python to automate processes and manage infrastructure. They use Python to write scripts, debug programs, and implement software solutions. DevOps engineers are in high demand due to the increasing need for automation and infrastructure management. The developing trend for DevOps engineers is to have a good understanding of cloud technologies such as AWS and Azure, as well as knowledge of automation tools such as Ansible and Puppet.
[Education Paths]
Recommended degree paths for learners of this course include:
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming languages, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree is ideal for those who want to pursue a career in software development, data analysis, or computer engineering. Additionally, the developing trends in this field include the use of cloud computing, big data, and the Internet of Things (IoT).
2. Bachelor of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as systems analysis, database management, and web development. This degree is ideal for those who want to pursue a career in IT management, software engineering, or web development. Additionally, the developing trends in this field include the use of artificial intelligence, machine learning, and blockchain technology.
3. Master of Science in Computer Science: This degree path provides students with an advanced understanding of computer science fundamentals, including programming languages, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree is ideal for those who want to pursue a career in software development, data analysis, or computer engineering. Additionally, the developing trends in this field include the use of cloud computing, big data, and the Internet of Things (IoT).
4. Master of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as systems analysis, database management, and web development. This degree is ideal for those who want to pursue a career in IT management, software engineering, or web development. Additionally, the developing trends in this field include the use of artificial intelligence, machine learning, and blockchain technology.
Pros & Cons
Easy to follow and detailed
Engaging tone and accent
Clear and methodical
Demystifies complex concepts
Very helpful
Video quality a little bad
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