Top 10 Best Python Courses on Udemy [2021 Edition]

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best python course

Udemy is an excellent marketplace for affordable, comprehensive courses on all manner of subjects. The ones available for those looking to learn Python are no different.

However, with all that choice it can be difficult to know what course to dive into and take. Well, we are here to help.

In this top 10 review round-up, we have carefully selected 10 of the best Python courses currently running on Udemy in 2021. Whether you are looking for a fully intensive course or a beginner-friendly option to test the waters you will find something here to suit you.

For our top choice Python courses at a glance, just head to the table below. For an in-depth review of each of the selected courses, keep on reading.

Best Python Courses on Udemy

COURSE

TITLE

DETAILS

OUR RATING

BEST COMPLETE COURSE

The Complete Python Bootcamp

22hrs of video
14 Articles
19 Coding Exercise
Lifetime Access
Certificate

Python Mega Course: Build 10 Apps

73 Articles
25hrs of Video
70 Coding Exercise
Lifetime Access

BEST FOR BEGINNERS

Coding Made Easy - A Concise Python Course

2hrs of video
Lifetime Access
Certificate

Python Bible - Everything You Need to Know

9hrs of video
4 Articles, 11 Coding Exercise
Lifetime Access

BEST COURSE FOR TEACHING KIDS

Learn Python at Any Age

6.5hrs of video
5 Articles, 12 Extra Resources
Lifetime Access

BEST FOR AI

Cutting Edge AI: Deep Learning with Python

8.5hrs of video
 Extra Resources
Lifetime Access

BEST FOR MACHINE LEARNING

Machine Learning A-Z (Python & Data Science)

44hrs of video
75 Articles
 38 Extra Resources
Lifetime Access

BEST FOR BIG DATA

Taming Big Data with Python

7hrs of video
2 Articles
 19 Extra Resources
Lifetime Access

BEST NETWORK ENGINEERS

Python Network Programming for Engineers

13hrs of video
2 Articles
 65 Extra Resources
Lifetime Access

BEST FOR SOFTWARE TESTING

Automated Software Testing with Python

13.5hrs of video
14 Articles
 5 Extra Resources
Lifetime Access

The Reviews

The courses chosen to be reviewed can be used by an absolute beginner as a guide that will enable him/her to choose which courses can be daisy-chained so that one can start learning Python programming.

They can then advance to technical expertise on how to use Python for automating network configuration, running machine learning models, handling big data, and automating software testing.

Best Python Courses for Beginners

1. BEST COMPLETE COURSE: Complete Python Bootcamp 2021

python code udemy course

This is a complete Python programming course that starts from the basics and progresses to advanced topics that allow the learner to learn how to create Python applications (and even video games) that can be executed on a computer.

This course is prepared by Jose Portilla, and so far, more than 1,228,800 students have taken it, hence making it one of the most popular courses in Udemy.

It promises to teach the learner advanced topics like how to build an appealing graphical user interface (GUI) using Python in the Jupyter Notebook, as well as how to build games such as Blackjack and Tic Tac Toe using Python. It also teaches programming using Python 2 and Python 3.

This course has 23 sections that are covered in 155 lectures which are scheduled to take about 22 hours in total. The course provides 22 hours of on-demand lecture videos, 14 articles, and 19 coding exercises; and upon successful course completion, the learner is awarded a certificate of completion.

The course was last updated in January 2021, which means that it features the latest knowledge in Python programming.

This course is designed for students who have no prior programming knowledge, hence making it suitable for beginners who want to learn Python programming.

Key aspects of this course are explained below.
  • Target Audience: Beginners in Python programming, intermediate Python programmers, and programmers switching to Python 3.
  • Course Type: Tutorials with practice exercises.
  • Current Rating: 4.6 out of 5 following 348,742 ratings.
  • Language: The course is offered in English, with lecture videos featuring French, Spanish, Portuguese, Italian, German, and Polish subtitles.
  • Requirements: Personal Computer that is connected to the internet. Python IDE.

The Tutor/s

The tutor, Jose Portilla, heads the Data Science department in Pierian Data, Incorporated. He has earned Bachelor’s and Master’s degrees in mechanical engineering and has worked as a professional instructor on data science and Python programming.

He has tutored teams from Credit Suisse, McKinsey, General Electric, and The New York Times among other companies.

Course Content

The key topics covered in the course include the following:
  • What is Python language.
  • Python Setup including IDE setup and usage.
  • Data Structures and Objects.
  • Dictionaries, Sets, Tuples, Data Types, and File input and output (I/O).
  • Statements and Comparison Operators.
  • External Modules, Inheritance, and Polymorphism.
  • Methods and Functions.
  • Object-oriented programming (OOP).
  • Decorators and Generators.
  • Errors, Debugging, and Exceptions Handling.
  • Advanced Python Modules and Web Scraping using Python.
  • Using Python to work with images, emails, documents in portable document format (PDF), and spreadsheets containing comma-separated values (CSV).
  • Build GUI in Jupyter Notebook using Python.

This course provides full-life time access after successful registration, and the lectures can be accessed on smartphones, smart TV, and smart mobile devices.

Full lifetime access means that one can use his/her login credentials to access the course at any time after completing the course and getting certified.

2. Python Mega Course: Build 10 Real World Applications

Python_language

This is a complete Python course that comes with practical exercises that involve building GUI using Tkinter, a personal website using Python and Flask, and 10 apps, including an English Thesaurus app, a geocoding web app using Panda and Flask, data visualization app using Bokeh, and a Feel-Good Android app using Kivy.

Like the afore-reviewed course, it starts from the basics and progresses to advanced topics. This course is prepared by Ardit Sulce, and so far, more than 213,000 students have taken it.

Unlike the afore-reviewed course taught by Jose Portilla which touches on Python 2, this course focuses on Python 3.

This course has 35 sections that are covered in 278 lectures which are scheduled to take about 25 hours in total.

The course provides 25 hours of on-demand lecture videos, 41 downloadable resources, 74 articles, 70 coding exercises, and a practice test; and upon successful course completion, the learner is awarded a certificate of completion.

The course was last updated in February 2021, which means that it features the latest knowledge in Python programming.

This course is designed for beginners who want to learn Python programming.

Key aspects of this course are explained below.
  • Target Audience: Beginners in Python programming and intermediate Python programmers.
  • Course Type: Tutorials with practice exercises and practice programs.
  • Rating: 4.5 out of 5 following 46,597 ratings.
  • Language: The course is offered in English, with lecture videos featuring Spanish, Portuguese, and Italian subtitles.
  • Requirements: Personal Computer that is connected to the internet, Python IDE.

The Tutor

The tutor, Ardit Sulce, runs PythonHow, and has used Python to create data science tools that have been used to work with the Australian Rapid Intelligence, Swiss in-Terra, and Center for Conservation Geography.

He has earned a Master’s Degree in Geospatial Technologies and has worked as a professional instructor on Python programming.

Course Content

The key topics covered in the course include the following:
  • Introduction, along with Python Setup including IDE setup and usage.
  • Data Types and Objects.
  • List Comprehensions and File I/O.
  • Statements and Comparison Operators.
  • Modules, Inheritance, Polymorphism, and OOP.
  • Methods, Conditionals, and Functions.
  • Errors, Debugging, and Exceptions Handling.
  • Advanced Python Modules and Web Scraping using Python.
  • Scientific Computing with Numpy.
  • App building with Flask, Tkinter, Bokeh, Panda, Kivy, and PostGRE and SQLite databases.

This course provides full-life time access after successful registration, and the lectures can be accessed on smartphones, smart TV, and smart mobile devices.

3. BEST FOR BEGINNERS: Coding Made Easy – A Concise Python Course

laptop

This is a foundational course in Python programming where the learner is taught the essential concepts so that (s)he is inspired to learn more about this programming language.

It focuses on Python 3. This course is prepared by Cher Hin Chong, and so far, more than 14,995 students have taken it. This course is the best Python course for beginners.

This course has only a single section that is covered in 20 lectures which are scheduled to last for a total of about 2 hours and 7 minutes.

The course provides 2 hours of on-demand lecture videos, and the learner is awarded a certificate of completion after watching the entire lecture series. The course was last updated in July 2020.

This course is designed for beginners who want to learn Python programming.

Key aspects of this course are explained below.
  • Target Audience: Beginners in Python programming.
  • Course Type: Video tutorials.
  • Rating: 4.7 out of 5 following 3,302 ratings.
  • Language: The course is offered in English.
  • Requirements: Personal Computer that is connected to the internet. Python IDE.

The Tutor

The tutor, Cher Hin Chong, is a senior software developer who graduated as a software engineer. He knows multiple programming languages including Python, C, C++, Java, PHP, and JavaScript. Also, he develops online programming courses.

Course Content

The key topics covered in the course include the following:
  • Introduction, along with Python Setup including IDE setup and usage.
  • Data Types and Objects.
  • Data structures.
  • Variables and Typecasting.
  • String manipulation.
  • Operators and Conditionals.
  • Loops.

This course provides full-life time access after successful registration, and the lectures can be accessed on smartphones, smart TV, and smart mobile devices.

4. The Python Bible – Everything You Need to Program in Python

python programming

This is a Python programming course that comes with coding exercises that are aimed at teaching the learner how to code in Python, as well as build memorable and fun Python projects.

It begins with the basics and progresses to advanced topics. This course is prepared by Ziyad Yehia, and so far, more than 112,100 students have taken it. This course uses Python 3.

This course has 11 sections that are covered in 74 lectures which are scheduled to last for a total of about 9 hours in total.

The course provides 9 hours of on-demand lecture videos, 3 downloadable resources, 4 articles, 11 coding exercises, and upon successful course completion, the learner is awarded a certificate of completion.

The course was last updated in January 2020.

This course is designed for beginners who want to learn Python programming.

Key aspects of this course are explained below.
  • Target Audience: Beginners in Python programming.
  • Course Type: Tutorials with practice exercises and projects.
  • Rating: 4.7 out of 5 following 31,877 ratings.
  • Language: The course is offered in English, with the lecture videos featuring autogenerated Spanish and Portuguese subtitles.
  • Requirements: Personal Computer that is connected to the internet. Python IDE.

The Tutor

The instructor is Ziyad Yehia – who has taught in international colleges in the United Kingdom – and works in collaboration with the Internet of Things Academy (ITA) to prepare and teach this course. ITA is a provider of online education technology.

Course Content

The key topics covered in the course include the following:
  • Introduction, along with Python Setup including IDE setup and usage.
  • Numbers and Strings.
  • Data Types and Objects.
  • Data structures.
  • Variables and Typecasting.
  • String manipulation.
  • Operators and Conditionals.
  • Loops.
  • OOP.

This course provides full-life time access after successful registration, and the lectures can be accessed on smartphones, smart TV, and smart mobile devices.

5. BEST FOR TEACHING KIDS: Teach Your Kids to Code

teen coding

This is a Python programming course designed for pre-K kids to K-12 teens who want to know how to use Python, and it allows them to build a colorful app, including playable computer games.

It introduces the learners to Turtle graphics and how to use them in Python to draw colorful shapes and spirals. As expected, it begins with the basics and progresses to more advanced topics.

This course is prepared by Professor Bryson Payne, and so far, more than 25,750 students have taken it. This course uses Python 3.6 and Python 3.9. This is the best course for teaching kids how to code in Python.

This course has 9 sections that are covered in 113 lectures which are scheduled to last for a total of about 8 hours.

The course provides 6.5 hours of on-demand lecture videos, 12 downloadable resources, 5 articles, and upon successful course completion, the learner is awarded a certificate of completion.

The course was last updated in February 2021, hence its use of the latest Python release, Python 3.9.0.
This course is designed for beginners who want to learn Python programming.

Key aspects of this course are explained below.
  • Target Audience: Beginners in Python programming.
  • Course Type: Tutorials with practice exercises and projects.
  • Rating: 4.5 out of 5 following 6,746 ratings.
  • Language: The course is offered in English.
  • Requirements: Personal Computer that is connected to the internet. Python IDE.

The Tutor

The instructor is Professor Bryson Payne, a renowned TEDx speaker and tenured professor at the University of North Georgia where he teaches computer science.

He also heads the Center for Cyber Operations. He is also a certified ethical hacker (CEH) and Information Systems Security Professional (CISSP).

Course Content

The key topics covered in the course include the following:
  • Introduction, along with Python Setup including IDE setup and usage.
  • Turtle graphics.
  • Numbers and Strings.
  • Data Types and Objects.
  • Data structures.
  • Variables.
  • Conditionals.
  • Loops.
  • Functions.

This course provides full-life time access after successful registration, and the lectures can be accessed on smartphones, smart TV, and smart mobile devices.

Best Python Courses for Advanced Users of Python

6. BEST FOR AI: Cutting-Edge AI – Deep Learning Reinforcement in Python

python coding

This is a Python programming course designed for advanced Python programmers who want to use Python for deep reinforcement learning – which is one of the machine learning (ML) methods used to train algorithms used in artificial intelligence (AI).

Machine learning and artificial intelligence are described in another resource (link this sentence to the introductory section of the review of machine learning courses).

This course focuses on how to use Python for deep learning and reinforcement learning, and this allows the programmer to understand how to implement Deep Deterministic Policy Gradient (DDPG), Evolution Strategies (ES), and OpenAI Baselines for Advantage Actor-Critic (A2C) algorithm.

It also provides help for beginner-level Python coders, as well as trains the learner on how to choose the most effective ML method depending on the task at hand.

Even so, the learner is required to request this help/assistance. This course is the best Python course for AI.

This course is prepared by Lazy Programmer Inc., and so far, more than 7,360 students have taken it. The course has 9 sections that are covered in 50 lectures which are scheduled to take about 8 hours and 32 minutes in total.

The course provides 8.5 hours of on-demand lecture videos, and the learner is awarded a certificate of completion after watching the entire lecture series. The course was last updated in December 2020.

Key aspects of this course are explained below.
  • Target Audience: Knowledgeable Python programmers who can work with TensorFlow and understand the basics of machine learning, including reinforcement learning.
  • Course Type: Video tutorials.
  • Rating: 4.6 out of 5 following 723 ratings.
  • Language: The course is offered in English with auto-generated English subtitles.

The Tutor

The tutor is Lazy Programmer Inc., which is the identity of an AI and ML engineer who graduated with a master’s in computer engineering, and has worked as a full-stack software developer and data engineer.

Requirements

  • Personal Computer that is connected to the internet.
  • Python IDE.
  • Basic understanding of Markov Decision Processes.
  • Basic knowledge about Reinforcement Learning.
  • Ability to use TensorFlow in building a working convolutional neural network.

Course Content

The key topics covered in the course include the following:
  • Reinforcement Learning concepts.
  • Deep Deterministic Policy Gradient.
  • Evolution Strategies.
  • Advantage Actor-Critic algorithm.

This course provides full-life time access after successful registration, and the lectures can be accessed on smartphones, smart TV, and smart mobile devices.

7. BEST FOR MACHINE LEARNING: Machine Learning A-Z (Hands-On Python & R In Data Science)

machine learning python

This comprehensive Python programming course is designed for training Python programmers on how to use Python for machine learning and making ML models for training AI algorithms that can be used for predictive analysis.

It also focuses on how to use Python for deep learning, reinforcement learning, and natural language processing (NLP), as well as trains the learner on how to use techniques such as Dimensionality Reduction.

Likewise, it aims to equip the learner with skills of how to build ML models for solving practical problems. This course is the best Python course for machine learning.

This course is prepared by Kirill Eremenko and Hadelin de Ponteves, in collaboration with Ligency Team and SuperDataScience Support.

Until now, more than 748,790 students have taken it. The course has 45 sections that are covered in 322 lectures which are scheduled to take about 44 hours in total.

The course provides 44 hours of on-demand lecture videos, 38 downloadable resources, 75 articles, and upon successful course completion, the learner is awarded a certificate of completion.

The course was last updated in February 2021

Key aspects of this course are explained below.
  • Target Audience: Python programmers who have a good working knowledge of high-school mathematics.
  • Course Type: Tutorials.
  • Rating: 4.5 out of 5 following 141,600 ratings.
  • Language: The course is offered in English with autogenerated subtitles in French, Italian, Spanish, Portuguese, and German.
  • Requirements: Personal Computer that is connected to the internet. Python IDE.

The Tutor

The tutors are Kirill Eremenko and Hadelin de Ponteves, who collaborate with Ligency Team and SuperDataScience Support to prepare this Python ML course.

Kirill Eremenko is a data scientist who has worked with Australian businesses, and Hadelin de Ponteves is an AI entrepreneur who co-founded BlueLife AI – a company that leverages AI in business strategy.

Both Kirill Eremenko and Hadelin de Ponteves have each taught more than 1.2 million students through Udemy.

Course Content

The key topics covered in the course include the following:
  • Introduction and Installation of R Studio.
  • Data Preprocessing.
  • Regression including Decision Tree Regression.
  • Classification.
  • Clustering including K-Means and Hierarchical Clustering.
  • Association Rule Learning.
  • Reinforcement Learning including Upper Confidence Bound and Thompson Sampling.
  • Natural Language Processing (NLP).
  • Deep Learning including Artificial Neural Networks and Convolutional Neural Networks.
  • Dimensionality Reduction.
  • Model Selection and Boosting including k-fold Cross-Validation, XGBoost, and Parameter Tuning.

This course provides full-life time access after successful registration, and the lectures can be accessed on smartphones, smart TV, and smart mobile devices.

8. BEST FOR BIG DATA: Taming Big Data with Python and Apache Spark

python course

This is an advanced Python programming course that trains the learner on how to use Apache Spark 3, Hadoop YARN, Elastic MapReduce, and MLLib to handle and process big data.

The learner is taught how to use Structured Streaming, SparkSQL, Resilient Distributed Datasets, and DataFrames in Spark 3.

One is also taught how GraphX and the breadth-first-search iterative algorithm are used to manage tasks related to big data analysis.

Likewise, the learner is taught how to share information within a Spark cluster – which has multiple nodes – using accumulators and broadcast variables. This course is the best Python course for big data.

This course is prepared by Frank Kane in collaboration with Sundog Education. Up until now, more than 56,600 students have taken it.

The course has 8 sections that are covered in 64 lectures which are scheduled to take about 7 hours in total. The course provides 7 hours of on-demand lecture videos, 19 downloadable resources, 2 articles, and upon successful course completion, the learner is awarded a certificate of completion.

The course was last updated in February 2021

Key aspects of this course are explained below.
  • Target Audience: Python programmers.
  • Course Type: Tutorials.
  • Rating: 4.5 out of 5 following 10,016 ratings.
  • Language: The course is offered in English with autogenerated subtitles in French, Italian, Spanish, Portuguese, Polish, and German.
  • Requirements: Personal Computer that is connected to the internet. Python IDE. Basic knowledge of Python programming.

The Tutor

The tutor is Frank Kane, a former employee of IMDb and Amazon, who holds 17 patents issued to his inventions in the fields of data mining, machine learning, and distributed computing. Frank also owns Sundog Software LLC, the parent company of Sundog Education.

Course Content

The key topics covered in the course include the following:
  • Introduction to Spark and the RDD Interface.
  • SparkSQL, DataSets, and DataFrames.
  • Cluster
  • Spark ML.
  • Spark Streaming.
  • GraphX and Structured Streaming.

This course provides full-life time access after successful registration, and the lectures can be accessed on smartphones, smart TV, and smart mobile devices.

9. BEST FOR NETWORK ENGINEERS: Python Network Programming for Network Engineers

python course udemy

This advanced Python programming course focuses on how to use Python 3 with GNS3, NAPALM, BGP, and Netmiko.

This allows the learner to manage network programmability and automated configuration using Python codes and network-scripts, besides using Netmiko for establishing SSH connections to networking hardware.

This course is the best Python course for network engineers.

This course is prepared by David Bombal, and at the time of writing more than 170,300 students have taken it. The course has 24 sections that are covered in 171 lectures which are scheduled to take about 13 hours in total.

The course provides 13 hours of on-demand lecture videos, 65 downloadable resources, 2 articles, and upon successful course completion, the learner is awarded a certificate of completion.

The course was last updated in August 2020.

Key aspects of this course are explained below.
  • Target Audience: Python programmers who are knowledgeable in networking.
  • Course Type: Tutorials.
  • Rating: 4.7 out of 5 following 5,747 ratings.
  • Language: The course is offered in English with auto-generated English subtitles.

The Tutor

The tutor, David Bombal, is a Cisco Certified Internetwork Expert (CCIE) and Systems Instructor (CCSI) who has been teaching Cisco courses for over 15 years.

Requirements

  • Personal Computer that is connected to the internet.
  • Python IDE.
  • Basic knowledge of Python programming.
  • Basic understanding of Networking and GNS3.

Course Content

The key topics covered in the course include the following:
  • Python Theory and Networking.
  • Lab setup.
  • Network Automation.
  • Netmiko with SSH.
  • NAPALM and BGP.
  • Networking scripts.
  • Netmiko scaling.

This course provides full-life time access after successful registration, and the lectures can be accessed on smartphones, smart TV, and smart mobile devices.

10. BEST FOR SOFTWARE TESTING: Automated Software Testing using Python

testing using python coding

Advanced Python programming course is designed for learners who want to perform automated software testing using Python 3 with Selenium WebDriver, BDD, Postman, and Travis CI.

The learner is taught how to use Python to write an automated system test, as well as using Selenium WebDriver and Behave for acceptance testing of web applications, along with how to automate application testing using Travis CI.

This is the best Python course for software testing, with emphasis placed on web applications.

This course is prepared by Jose Salvatierra in collaboration with Teclado; and up-to-now, more than 20,800 students have taken it.

This course has 11 sections that are covered in 141 lectures which are scheduled to last for a total of about 14 hours.

The course provides 13.5 hours of on-demand lecture videos, 5 downloadable resources, 14 articles, 7 coding exercises, and upon successful course completion, the learner is awarded a certificate of completion.

The course was last updated in November 2019.

Key aspects of this course are explained below.
  • Target Audience: Python programmers who want to test web applications.
  • Course Type: Tutorials with practice exercises.
  • Rating: 4.5 out of 5 following 3,075 ratings.
  • Language: The course is offered in English with autogenerated subtitles in French, Italian, Spanish, Portuguese, Polish, Indonesian, and German.

The Tutor

The instructor is Jose Salvatierra, a software engineer who founded Teclado. He is proficient in Python, JavaScript, and web frameworks (such as Angular) and libraries such as React Native and Flask.

Requirements

  • Personal Computer that is connected to the internet.
  • Python IDE.
  • Basic understating of web applications.
  • A rudimentary knowledge of REST API.

Course Content

The key topics covered in the course include the following:
  • Python refresher.
  • Flask Endpoint.
  • RET API.
  • Postman and Newman.
  • Travis CI.
  • Selenium WebDriver.

This course provides full-life time access after successful registration, and the lectures can be accessed on smartphones, smart TV, and smart mobile devices.

A Short Introduction to Python

Python Introduction

What is Python?

Python is a high-level objected-oriented programming language that can be used for both imperative programming and procedural programming.

It is a flexible, general-purpose programming language that emphasizes ease of reading and understanding the code by a programmer.

This implies that it is very close to human language and uses common English words and symbols as part of its syntax.

Origins of Python

Python was developed in the Netherlands in 1989 by Guido van Rossum and was released publicly in 1991.

It is named after Monty Python and was initially developed as a scripting language that was scalable, functional, and object-oriented.

In 2001, the Python software foundation was established. Python is the programming language favored by Google, and in fact, van Rossum worked at Google Incorporated (now a subsidiary of Alphabet Incorporated) from 2005 to 2012.

An open-source, object-orientated language

python code udemy course

Python is an open-source and free language that supports automatic memory management. The key paradigm in designing Python was to develop a high-level programming language for object-oriented programming.

In object-oriented programming, the instruction and the data that it needs to use are stored together in a unit called the object.

The object also contains the communication interface that allows the instruction and data to interact. Each object can interact with another object during code execution. The use of objects makes the program modular and easy to read and reuse.

Imperative and procedural programming

As mentioned, Python can also be used in imperative and procedural programming.

As an imperative programming language, Python requires the programmer to list the instructions in the order that the processor will execute them, and then write this instruction set using Python to create an executable code.

In procedural programming, Python allows functions to be used in a program. A function is basically a reusable chunk of code that can start another function or restart itself. The main utility of the function is that it makes a program easy to create, test, and manage.

Normally, the choice of programming language to use for a project is dictated by the program that needs to be created, as well as the computer hardware that will run the program.

For this program to be used by a computer, it needs to be converted into a machine (or binary) code. The instruction set is converted into the machine code by an interpreter. Even so, the instruction set of the program is written in a code editor.

This machine code is a low-level code that is understood by the processor, and hence can be executed by the processor to create an output. As expected, the machine code is a set of binary digits that can be read and interpreted by the processor.

Opcode and Operand

This machine code has 2 types of instructions, the opcode, and operand. The opcode instructs the computer on what to do, while the operand instructs the computer on what data to use when executing an instruction.

The opcode and operand are programmed in a code editor using a high-level language like Python. Usually, Python is written in an integrated development environment.

The integrated development environment (IDE) is a suite that features a code editor and productivity tools such as color coding and autocompletes for instructions, as well as a debugger for identifying errors and interpreters to run and test the executable code.

Learning Python for Beginners

Python is an easy-to-learn programming language if one has the right IDE. Moreover, Python is a powerful high-productivity programming language whose IDE comes with lots of libraries that allow the programmer to create scalable and easy-to-maintain programs.

It also has less Unix bias and better Java integration as compared to other programming languages such as Perl, as well as supports dynamic typing and quicker code development as compared to Java.

Additionally, with the growing popularity of big data applications, Python can be used to develop databases that handle and manage the data collected by these applications.

Python is also useful in developing automation software.

References

  • “A Review on Python Programming”, A. . Rawat, IJRESM, vol. 3, no. 12, pp. (2020). [Link]
  • “A Serious Game for Teaching Python Programming Language,” Yassine A., Berrada M., Tahiri A., Chenouni D. (2020). In: Bhateja V., Satapathy S., Satori H. (eds) “Embedded Systems and Artificial Intelligence. Advances in Intelligent Systems and Computing“, vol 1076. Springer, Singapore. https://doi.org/10.1007/978-981-15-0947-6_37
  • “Getting Started with Python”. In: “Computational Frameworks for Political and Social Research with Python. Textbooks on Political Analysis“. Cutler J., Dickenson M. (2020). Springer, Cham. https://doi.org/10.1007/978-3-030-36826-5_1
  • “Investigating trends in learning programming using YouTube tutorials,” Arbana Kadriu, Lejla Abazi-Bexheti, Hyrije Abazi-Alili, Veland Ramadani (2020); https://doi.org/10.1504/IJLC.2020.106721
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