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Requirements
Master the complete basics of Python that will help you widely to work with latest tech fields AI, ML, DS-ALGO, WebDev
So why learn Python?
Python is extremely versatile, with multiple uses
Just to name a few of its most common uses, Python is used in Data Mining, Data Science, AI, Machine Learning, Web Development, Web Frameworks, Embedded Systems, Graphic Design applications, Gaming, Network development, Product development, Rapid Application Development, Testing, Automation Scripting, the list goes on.
Python is used as an easier and more efficiently-written alternative to languages that perform similar functionalities like C, R, and Java. Therefore Python is growing in popularity as the primary language for many applications.
Python uses in Data Science and Machine Learning
Historically, the R programming language is most commonly used for data science. As Python code is considered easier to maintain and more scalable than R, Python has increased in popularity for data science especially among professionals without advanced education in statistics or mathematical fields.
In the past few years, many packages have been developed for data analysis and machine learning using Python. This includes numpy and pandas, which allow users to understand and transform data; tensorflow, which is used to code machine learning algorithms; and pyspark, an API for working with Spark a framework for easily working with large data sets.
These libraries enable your every day web developer to analyze large data trends, without having to learn the ins and outs of the more complex R.
What types of companies use Python?
Python is great for quick prototyping, hence is used extensively by startups to build their first minimum viable product (MVP). As a highly scalable language, Python is also used in the worlds largest and most sophisticated companies. Netflix discussed its uses of Python in everything from their Content Delivery Network (CDN) to their monitoring systems.
Google also loves Python programming for its solutions
Who this course is for:
- A computer with any operating system with internet connection
Master the complete basics of Python that will help you widely to work with latest tech fields AI, ML, DS-ALGO, WebDev
So why learn Python?
Python is extremely versatile, with multiple uses
Just to name a few of its most common uses, Python is used in Data Mining, Data Science, AI, Machine Learning, Web Development, Web Frameworks, Embedded Systems, Graphic Design applications, Gaming, Network development, Product development, Rapid Application Development, Testing, Automation Scripting, the list goes on.
Python is used as an easier and more efficiently-written alternative to languages that perform similar functionalities like C, R, and Java. Therefore Python is growing in popularity as the primary language for many applications.
Python uses in Data Science and Machine Learning
Historically, the R programming language is most commonly used for data science. As Python code is considered easier to maintain and more scalable than R, Python has increased in popularity for data science especially among professionals without advanced education in statistics or mathematical fields.
In the past few years, many packages have been developed for data analysis and machine learning using Python. This includes numpy and pandas, which allow users to understand and transform data; tensorflow, which is used to code machine learning algorithms; and pyspark, an API for working with Spark a framework for easily working with large data sets.
These libraries enable your every day web developer to analyze large data trends, without having to learn the ins and outs of the more complex R.
What types of companies use Python?
Python is great for quick prototyping, hence is used extensively by startups to build their first minimum viable product (MVP). As a highly scalable language, Python is also used in the worlds largest and most sophisticated companies. Netflix discussed its uses of Python in everything from their Content Delivery Network (CDN) to their monitoring systems.
Google also loves Python programming for its solutions
Who this course is for:
- Beginner Python Developers Curious about Development in Python
