Python is a popular programming language that is widely used for a variety of applications, including web development, data analysis, and automation. Learning Python scripting can provide professionals with the skills needed to automate tasks and streamline workflows. There are several online courses available for individuals looking to learn Python scripting, each with their own unique features and benefits. In this article, we will explore some of the best Python scripting courses available online and their key features.
Here’s a look at the Best Python Scripting Courses and Certifications Online and what they have to offer for you!
Best Python Scripting Course For Devops Online Quora
- Best Python Scripting Course For Devops Online Quora
- 1. Python for beginners – Learn all the basics of python by Kiran Gavali (Udemy) (Our Best Pick)
- 2. Complete Python & Python OOP with Exercises& Projects in2022 by Temotec Learning Academy (Udemy)
- 3. Diploma in Python with Data Science and Machine Learning by Global Education Foundation (Udemy)
- 4. Whatsapp Automation Using Python by Diptam Paul (Udemy)
- 5. Complete Python Scripting for Automation by Narendra P (Udemy)
- 6. The Complete Python Course :From Basic to Advance Level by Engr Ali Raza (Udemy)
- 7. Control Excel with Python & OpenPyXL by Conny Söderholm (Udemy)
- 8. Introduction to Python 3 by Anshuman Kanetkar (Udemy)
- 9. Python For Beginners: Learn Python With Hands-On Examples by Muharrem AYDIN, Fatih YILMAZ (Udemy)
- 10. Testers Most Demanding Skills-2022 |AWS-BDD-Python-Test Case by Automation World (Udemy)
The course Python for beginners aims to teach individuals with no prior experience in programming the basics of Python. It covers Python functions, basic applications, tips and tricks, and other features. The course is designed for individuals who want to learn Python in school, for work, personal projects that require programming knowledge, or just for the sake of learning a new skill.
The course structure is designed to aid learners in acquiring a comprehensive understanding of Python, from installing a text editor to creating small apps. It follows a learning-by-practice approach, where learners are taught the theory of each concept and then given ample practice to understand the logic behind each command. The goal is to teach learners how to think like a programmer and create small, basic Python projects.
This course is designed for beginners who have never worked with Python before. It is an excellent starting point for individuals who want to learn programming and acquire a solid foundation in Python. By the end of the course, learners will have created several small apps and gained a good knowledge of different Python concepts.
The course comes with a 100% satisfaction guarantee, which means that learners can request a complete refund within 30 days of enrolment if they are not happy with what they have learned. Furthermore, if learners find any concept complicated or are unable to understand any part of the course, they can reach out to the instructor for support.
Enrolling in this course offers individuals the opportunity to learn valuable skills that can be useful in their professional or personal lives or to try the course and request a refund if they are dissatisfied with it. The course content is divided into three sections: Introduction, Part 2, and Conclusion.
The Complete Python & Python OOP with Exercises & Projects in 2022 course is offered by Temotec Learning Academy. This course is designed to teach Python programming basics and Object Oriented Programming (OOP) in Python, with examples, quizzes, and resources. The course covers simple classes, constructors, Dunder methods, inheritance, multiple inheritance, encapsulation, polymorphism, decorators, and built-in decorators. There are three projects included in the course to help learners master what they learn. The first project is CCG, the second is Hangman Game in Python, and the third is X-O Game Classes.
The course also covers Python basics such as how to install Python 3, how to use Python IDLE, how to install Anaconda, how to use Pycharm as Python IDE, how to use Jupyter notebook, variables and operators, data types, lambda expressions, string functions, input string functions, lists, dictionaries, tuples, sets, IF statement and control flow, for loop, while loop, error exception, Python functions, Python modules, and how to open files in Python.
Python is a high-level programming language that is strong, elegant, and easy to learn. It is faster than R programming language when used for data science and has lots of libraries that facilitate its use for data analysis. Python is an objective-oriented programming language, so you can use objects when coding in Python. It is a free open source programming language that can be used for a variety of programming tasks, such as for desktop applications, game programming, and mobile development. Python is a cross-platform language, and code written for one operating system will work well on other operating systems.
The course is divided into several sections, including an Introduction, Python Environment Installing, Variables & Operators, Understanding Python Data Types, Python Refresher, Objective Oriented Programming (OOP) in Python, Advanced OOP in Python, and Extra. The course also includes a Bonus Section.
The Diploma in Python with Data Science and Machine Learning course offered by the Global Education Foundation is designed to provide students with a comprehensive understanding of Python programming language. The course covers various aspects of Python, from basic scripting to advanced features such as working with binary data and regular expressions. Python is a popular open-source language used in various industries such as scientific computing, finance, oil and gas, physics, and signal processing.
The course content is divided into several sections covering different topics, including an introduction to Python, data types, conditional statements, iterative statements, data analysis with NumPy and Pandas, data visualization with Matplotlib and Seaborn, and machine learning. Additionally, students will get access to a bonus Java lecture series. The course also includes a mini-project on speech recognition using Python and project-based learning.
Python is a flexible and powerful language and has gained an ever-increasing market share. Its cross-platform nature allows it to be used on any operating system and provides an opportunity for Python developers to be utilized for different IT-related roles. One of the key advantages of Python is that it was developed by a single individual, making it easy to use for anyone with knowledge of programming language.
Overall, the Diploma in Python with Data Science and Machine Learning course offers a comprehensive understanding of Python, providing students with the skills and knowledge required for a career in various industries. The course is suitable for beginners and professionals looking to enhance their skills in Python programming language. The course is divided into different sections, providing a structured approach to learning, and includes a bonus Java lecture series.
Course Title: Whatsapp Automation Using Python
Course Instructors: Diptam Paul
Course Short Description: Selenium Module
Course Long Description: This course offers a comprehensive overview of WhatsApp automation using the Selenium Module. Participants will learn how to build a chatbot for WhatsApp, send photos and videos through Python, and gain a basic understanding of Selenium, allowing them to comprehend each line of code. Additionally, the course covers how to access all sections of any website with Python Selenium.
The Complete Python Scripting for Automation course offers beginners an opportunity to learn Python easily and efficiently. The course aims to take students from beginner to expert level in Python. Python is a popular programming language that is in high demand in the job market, particularly in fields such as data science, AI, web applications, server-side automation, home automation, and more.
The course content covers a wide range of topics, including the basics of print, indentation, comments, and special characters, as well as variables and data types, string operations, Python data structures, operators, conditional statements, working with modules such as sys and OS, loops, date and time manipulation, file handling, exception handling, functions, regular expressions, and more.
The course is suitable for beginners who have never programmed before and want a comprehensive introduction to Python. Additionally, the course content is geared towards server-side automation, with plans to update it for GUI and web application development in the future.
Overall, the course offers a thorough and practical introduction to Python programming, with a focus on automation tasks. It is a valuable resource for anyone looking to enter the exciting fields that rely on Python, and for those who want to develop their programming skills.
The Complete Python Course: From Basic to Advanced Level is a comprehensive course designed for individuals who aspire to become skilled programmers or those who want to enhance their programming abilities. The course is divided into 19 sections, with the initial nine sections focusing on the basic concepts of Python, while the other ten sections are concentrated on advanced topics.
Each section comprises both theoretical and practical components, with each concluding with quizzes and assignments that assess the participants’ knowledge of the section’s content. This course aims to provide complete knowledge of Python that can be utilized professionally.
The basic level of the course includes Flow Statements, Functions, Iterations, Tuples, Dictionaries, Strings, Lists, Number Systems, and Files. In contrast, the advanced level comprises Network Programming, Socket Programming, Object-Oriented Programming, Encapsulation, Inheritance, Polymorphism, Operator Overloading, Duck Typing, Interface, Abstract Class, HTML Files, Multi-Threading Programming, SMTP, GUI Programming, CGI Programming, Regular Expressions, Fibonacci Series, and Matplotlib.
Upon enrollment, students will have lifetime access to the 201 lectures included in the course. In case they are not satisfied with the course, they can request a refund within 30 days of enrollment. The course is recommended for beginners who have never programmed before or individuals who want to increase their programming expertise.
The course can be accessed by clicking on the Add to Cart button or previewing the course to ensure that it is the right fit for the student’s needs. Becoming proficient in Python can lead to new opportunities for career growth and the ability to serve others through programming.
In conclusion, The Complete Python Course: From Basic to Advanced Level is a valuable resource for individuals who seek to become proficient in Python programming. It offers a comprehensive curriculum of basic and advanced concepts, theoretical and practical components, and quizzes and assignments to test participant understanding.
The Control Excel with Python & OpenPyXL course is designed to teach individuals how to automate and control Excel using Python and OpenPyXL. To enroll in the course, individuals must have a basic knowledge of Python and access to a computer with Python 3 installed. Additionally, participants need access to a spreadsheet program, such as Excel or OpenOffice.
The course covers a wide range of topics, including how to manipulate and create workbooks and sheets, read cell data with absolute and relative references, iterate over cells to perform actions, delete rows and columns, insert formulas and tables, and format spreadsheets with fonts, colors, and cell types. The course also teaches individuals how to apply this knowledge to their own work and interact with open and save file dialogs, as well as create files and folders.
By the end of the course, individuals will be equipped with the skills needed to become an Excel power user. Whether a person is interested in gaming, business, engineering, or data, this course provides everything needed for working on spreadsheets with Python.
This course is suitable for individuals with or without coding experience who are interested in automating and controlling Excel using Python. It is especially beneficial for those who want to get rid of manually editing hundreds of spreadsheets by hand, extract or add data on multiple spreadsheets, or automate the creation of spreadsheets from input data. The course is also useful for individuals who want to start consulting services by automating Excel tasks.
The course consists of 8 sections, including an introduction, using OpenPyXL, workbooks and sheets, reading data from cells, iterating over cells, manipulating cells, formatting and filtering, and visuals. Overall, the course provides a comprehensive guide to automating Excel and teaches invaluable skills for those interested in becoming an Excel power user.
The course Introduction to Python 3 is designed to teach and master the latest version of Python programming language from basic fundamentals to advanced usage. Python has emerged as the fastest growing programming language worldwide and is rapidly becoming the most popular. It has evolved from being a niche scripting language to a powerful general-purpose language that finds use in various fields, including web services, embedded systems, data analysis, and artificial intelligence. The course aims to provide a solid grounding in Python to students familiar with computer programming or other programming languages. The syllabus follows programming languages courses taught in prestigious universities worldwide.
The course covers topics such as numbers and strings, variables, statements and expressions, functions, lists and dictionaries, control flow and looping, sets and tuples, file and console I/O, Python objects and namespaces, object-oriented programming, functional programming, exception handling, the Python standard library, regular expressions, testing and debugging. The lectures are organized into sections, and each lecture has in-lecture quizzes, and each section has a coding exercise. There are two practice tests, a mid-term exam, and a final exam. Only the practice tests and coding exercises are graded.
The course content and sections include an introduction to Python, variables, expressions, and statements, lists, dictionaries, and functions, more data structures and I/O, object-oriented and functional programming, the Python standard library, and testing and debugging. The lectures include over 150 live demonstrations of actual Python code snippets to explain every concept. The course is suitable for university-level engineering and science students who need a grasp of Python for numerical and data analysis tasks, as well as working professionals who have some familiarity with computer programming or are experts in other programming languages.
Enrolling in this course opens doors to new avenues, skills, and career opportunities. Students can refer a friend and earn gifts. For further details, contact firstname.lastname@example.org.
9. Python For Beginners: Learn Python With Hands-On Examples by Muharrem AYDIN, Fatih YILMAZ (Udemy)
The Python For Beginners: Learn Python With Hands-On Examples course is designed to teach Python programming from scratch. The course is created by Muharrem Aydin, who is the creator of the three best-selling courses on Udemy. The course provides a down-to-earth way of explanations with 12 projects to learn Python Programming step-by-step. The course is suitable for everyone, from complete beginners to professionals who need a refresher.
Python is a general-purpose programming language that supports various technologies, including vast libraries for data mining, scientific calculations, back-end server for websites, engineering simulations, artificial learning, augmented reality, and app development. The language is easy to understand and doesn’t need any prior knowledge to learn.
The course covers various topics, including variables, data types, numbers, strings, conditionals, loops, functions, modules, lists, dictionaries, tuples, file operations, and object-oriented programming. The course offers lifetime access, fast and friendly support in the Q&A section, and a Udemy certificate of completion.
The course is divided into 14 sections, starting with the Introduction, Installing Python, Programming, Variables and Data Types, Numbers, Strings, Conditionals, Loops, Functions and Modules, Python Packages, Lists, Tuples, Dictionaries, Sets, Files, Object Oriented Programming, and the Final Project. The course is suitable for those who want to become a Python programmer and learn one of the employer’s most requested skills.
The course titled Testers Most Demanding Skills-2022 offers a comprehensive training on various skills that are much in demand in the testing industry. The course is instructed by Automation World and covers topics such as effective test case writing, AWS understanding and practical implementation, BDD framework and Python scripting for test.
Effective test case writing is crucial in the testing cycle, as it sets the foundation for the rest of the testing process. The course offers guidelines and best practices for writing good test cases. Coverage includes test case introduction, formatted test cases, use of each and every column, test case designing techniques, basic excel features, test case writing on ALM and more.
The course also covers Amazon Web Services (AWS), which is a secure cloud services provider offering compute power, database storage, machine learning & AI services, security, monitoring, developer tools and other functionalities. The course includes the introduction of AWS, use cases of AWS in software testing, and step by step setup of an AWS free account. The EC2 service and S3 service are also covered.
Cucumber is a popular BDD tool that can be used to implement BDD approach with Selenium, Calabash, Watir, etc. The course covers the basics of BDD and offers understanding of BDD from basic to expert level. Cucumber is a software tool that supports behavior-driven development and uses an ordinary language parser called Gherkin. The course covers BDD basic to advance, why to implement BDD in Automation project, and how to implement BDD using Cucumber.
The course also includes Python programming for software testers, covering topics like Python programming kick off, advance Python programming and testing project-1: test data generation. In summary, the course offers a wide range of skills and knowledge that are essential for testers to excel in their profession.