Python: What is it?

Guido Rossum designed the object-oriented programming language Python in 1989. It is perfectly suited for the quick prototyping of intricate applications. In addition to being extendable to C or C++, it includes interfaces for numerous OS system calls and libraries. NASA, Google, YouTube, BitTorrent, and many more significant corporations use the Python programming language.

Python programming is frequently used in advanced computer science domains such as artificial intelligence, natural language processing, neural networks, and more. This course will teach you the fundamentals of Python, which places a strong emphasis on code readability.

1. Applied Data Science with a Python Specialization

(Coursera)

A five-course sequence called “Applied Data Science with Python Specialization” was created by the University of Michigan to teach students data science using the Python programming language.

This Python learning material is appropriate for students who understand the fundamentals of Python and are interested in learning how to apply machine learning and information visualization approaches.

Specialization in Applied Data Science and Python

Key subjects:

• Learn how to use inferential statistics.
• Is data visualization a useful tool?
• Data analysis technique using machine learning
• Aids in the analysis of a social network’s connectedness.

Features: 

• All classes are online.

• Availability of a flexible schedule
• English, French, Korean, Russian, and Spanish subtitles

• A solid understanding of the Python language is required.
• Option for self-paced learning

• Course Readings and Videos
• Assignments that include peer review
• Tests with Comments: Programming Tasks

2. A Beginner’s Guide to Python Programming (Skillshare)

Pros:

• Concise, digestible modules
• If finished within Skillshare’s 30-day trial, it’s free.

• Monthly difficulties
• An unnecessarily negative experience in computer science

Cons:

• very little

A Beginner’s Guide to Python Programming will be ideal for you if you’re a big fan of bite-sized learning.

The eight-hour course “A Beginner’s Guide to Python Programming” is excellent for beginners who might be pressed for time. It takes you through some of the most crucial ideas in the Python programming language, such as variables, conditional tests, and dictionaries.

Even though there are 131 video lessons in the course, you won’t likely feel overly overwhelmed. because each lesson is only a brief amount of time.

With the help of this Skillshare course, you can study Python on any device, at any time. Stop spending your commute time idly gazing out the window! You’ll go from being a total rookie who doesn’t even know how to install Python to being able to write your Python applications in less than eight hours.

3. Introduction to Python Programming (Udacity)

The course “Introduction to Python Programming” is designed for beginners and will teach you the Python programming language’s foundations. With the help of Python data types and variables, you will discover how to represent and store data.

In this course, you will learn how to define and document custom functions, deal with errors, and create your scripts. And you’ll discover how to employ modules from the Python Standard Library and other external libraries.

Key points: 

• The benefits of learning Python programming
• Types and operators for data
• Discover ways to control the flow
• Utilizing functions
• Set up an environment and install Python.
• Write a sample Python program using a Python interpreter.

Features:

• Industry-specific information
• project evaluations
• Career services and job support
• Rich educational materials taught by experts in the field
• A community that supports students
• Interactivity in tests
• Self-paced educational resources

4. Python programmer (DataCamp)

Pros

• A range of classes
• Logically organized course syllabus
• Several practical exercises
• Every course’s opening section is free.

Cons

• Some of the workouts are too simple.

This career track, which consists of 16 different Python courses, is great if the idea of picking just one Python course gives you a headache.

The 16 Python courses in the “Python Programmer Career Track” were chosen by professionals in the field to help you advance your knowledge. The track begins with introductory courses that teach fundamental concepts (such as Python syntax) and ends with more complex subjects.

5. Programming for Everybody (Getting Started with Python) (edX at the University of Michigan)

Pros:

• The course at the University of Michigan
• There are none.
• Includes a free PDF download of the book Many Assignments by Professor Severance.
• Free consume audit 
• Only paying students to have complete access and a certificate.

In this University of Michigan course offered on edX, Professor Charles Severance demonstrates that programming needn’t be monotonous.

The five-chapter course “Programming for Everyone (Getting Started with Python)” is offered on edX and is lectured by Professor Charles Severance of the University of Michigan. The course claims to teach you how to create a programme in Python by following a set of simple instructions and skipping “everything but the simplest mathematics.”

The fact that Professor Severance can anticipate the faults and questions that novice coders would make shows that he has a great deal of experience working with them. Additionally, he is entertaining to listen to, unlike some lecturers, so there is no danger that you will nod off while seeing his Python courses.

Students should have no issue passing this course in around seven weeks if they dedicate two to four hours per week to learning Python.

What employment opportunities exist for Python learners?

If you want to advance your profession, learning Python has emerged as one of the greatest programming languages to learn. When you take Python language courses, you will widen your options for careers.

Here are a few professions that would suit Python-skilled job hopefuls perfectly.

• Software Developer
• Python Developer
• Data Analyst
• Data Scientist 

1)Software Developer

With Python, a software engineer’s job entails using the concepts of software engineering to design, build, maintain, test, and evaluate computer software.

2) Python programmer

Python developers are experts who create software using this language, which is available on a variety of systems.

3) Data Analyst 

A data scientist is a specialist who handles vast volumes of data and uses Python and other tools and techniques to develop compelling business visions.

4) Data Scientist

A profession as a data analyst, which entails mining enormous volumes of data, is another option. In data, you must search for connections, patterns, and trends. You are required to provide engaging reporting and visualization for this position.