Introduction to Python

About Our Introduction to Python Course

Python is developed under an OSI-approved open-source license, making it freely usable and distributable, even for commercial use. Python is a general-purpose programming language. Created nearly 30 years ago, it is now one of the most popular languages out there to use. Its popularity is particularly important in the data science and machine learning fields. But it is also a language that is easy to learn, and that is why it has become the language most taught in universities.

Python interpreters are available for the main operating systems as well (Linux, Mac OS, Windows, Android, iOS, BSD, etc.) so it’s very flexible in where it is used. Python has a simple syntax that makes it suitable for learning to program as a first language. The learning curve is smoother than other languages such as Java, which quickly requires learning about Object Oriented Programming or C/C++ that requires understanding pointers. Still, it’s possible to learn about OOP or functional programming in Python when the time comes.

Where is Python Used?

• Web Development, using the frameworks Django, Flask, Pylons
• Data Science and Visualization using Numpy, Pandas and Matplotlib
• Machine learning with Tensorflow and Scikit-learn
• Desktop applications with PyQt, Gtk, wxWidgets and many more
• Mobile applications using Kivy or BeeWare
• Education: Python is a great language to learn to program

How Much You Can Make

The average salary for a Python Developer is $117,155 per year in the United States. You can just search for Python jobs and see the ranges from $20/hr to over $40/hr.

Our Python programming course will teach you and show you the basics of Python programming. We will go over concepts like loops, variables, operators, syntax, and coding practices. With each module, we will build upon your knowledge from the previous module. This reinforces all the concepts along the way and at the end of some modules in our Python programming course, you will work on exercises to prove to yourself you can do this.

After taking this Python programming course you will be ready to move on to a move advanced course allowing you to build on the foundation this course provides. You will be making more sophisticated and more robust programs in no time using your new skills.

For complete information on this certification course, please visit the Python website for details.

More About Python Programming

Python is a versatile and powerful programming language that is widely used in various fields, including web development, data analysis, machine learning, and scientific computing. It is known for its simplicity, readability, and extensive library support, making it an excellent choice for both beginner and experienced programmers. The Introduction to Python course aims to provide you with a solid foundation in Python programming and equip you with the necessary skills to start building your own Python applications.

Knowledge Benefits

Enrolling in the Introduction to Python course will introduce you to the fundamentals of Python programming. You will learn about variables, data types, operators, control structures, functions, and more. Through hands-on exercises and practical examples, you will gain a deep understanding of Python’s syntax, object-oriented programming principles, and common programming patterns. Additionally, you will explore key topics such as file handling, working with databases, and web scraping. This knowledge will empower you to write clean and efficient Python code and solve real-world problems using Python.

Career Benefits

Proficiency in Python programming opens up a wide range of career opportunities in the software development and data science fields. Python is widely used in industries such as technology, finance, healthcare, and research, among others. By completing the Introduction to Python course, you will enhance your employability and increase your chances of securing job roles such as Python developer, software engineer, data analyst, or data scientist. Python skills are highly sought after by employers due to the language’s versatility and extensive library ecosystem.

Job Opportunities

Python developers are in high demand in the job market. Many organizations use Python for web development, scripting, automation, and data analysis tasks. Job opportunities for Python developers range from entry-level positions to senior roles, with possibilities for specialization in areas such as web development, data science, machine learning, or backend development. By acquiring Python programming skills, you will have access to a wide range of job opportunities and the flexibility to work in different industries and domains.

Salary Potential

Salaries for Python developers can vary depending on factors such as experience, location, industry, and job level. However, Python developers generally enjoy competitive salaries and attractive compensation packages. Python’s popularity and versatility contribute to high demand for skilled Python developers, which can positively impact earning potential. As you gain experience and specialize in specific areas of Python development, such as data science or machine learning, your earning potential can increase significantly.

Conclusion

The Introduction to Python course provides a solid foundation for learning Python programming and sets you on a path to explore its vast applications and opportunities. Python is a versatile language that can be used for various purposes, including web development, data analysis, and automation. By mastering Python programming, you can embark on a rewarding career as a Python developer, data analyst, or software engineer. So, seize the opportunity to learn Python and unlock your potential in the world of programming. Start your journey today and embrace the power of Python!

Using IT Certs Training for Introduction to Python Certification

IT Certs Training is an online training company that provides comprehensive training programs for various IT certifications, including Introduction to Python. The program offers several benefits, making it the best option for obtaining this certification:

1. Flexibility:

IT Certs Training provides self-paced online courses that allow learners to study at their own pace and schedule. This flexibility is particularly useful for working professionals who want to obtain a certification while continuing to work.

2. Comprehensive Curriculum:

The IT Certs Training curriculum covers all the topics and skills required to pass the Introduction to Python certification exam. The program provides videos, practice tests, and study materials that are designed to help learners master the exam objectives.

3. Experienced Instructors:

The program instructors are experienced professionals who have extensive knowledge and expertise in IT Networking and CyberSecurity in addition to many other areas of expertise. They provide guidance and support to learners throughout the training program.

4. Exam Preparation:

IT Certs Training provides exam preparation materials, including practice exams and study guides. These resources help learners prepare for the certification exam and increase their chances of passing it on the first try.

5. Cost-Effective:

The IT Certs Training program is cost-effective compared to other training programs. The program offers affordable pricing and provides value for money by offering comprehensive training and exam preparation resources.

Course Outline

Module 1: Getting Started with Python
Module 2: Working with Primitive Data Types
Module 3: Working with Multiple Assignments Statements
Module 4: Convert Types in Python
Module 5: Creating Lists
Module 6: Modifying Lists
Module 7: Sorting and Reversing Lists
Module 8: Slicing Lists
Module 9: Working With Operators
Module 10: Determining Operator Precedence
Module 11: Working with IF Statements
Module 12: Working With For Loops
Module 13: Working With While Loops
Module 14: Nesting for Loops
Module 15: Reading Files
Module 16: More on Files
Module 17: Merging Emails
Module 18: Reading Console Inputs and Formatting Outputs
Module 19: Reading Command Line Argument
Module 20: Defining Functions
Module 21: Using Default Argument
Module 22: Using Keyword and Positional Arguments
Module 23: Handling Exceptions
Module 24: Using Math and Random Modules
Module 25: Displaying Daytime Working Directory and File Metadata

Your Training Instructor

David Biggers

IT Instructor
David has been a professional IT instructor for the past four years for the US Army. He teaches a broad range of certification courses ranging from CompTIA, Microsoft to Cisco and EC-Council. Prior to working with the US Army, David worked as a Jr. Network Admin and Web Services Manager with KCTCS in Kentucky. He performed multiple jobs being on the IT team. Additionally, David taught part-time during the evening at the college, where he instructed on Active Directory, Introduction to Computers, and Networking. David has 18 years of IT experience, 17 professional IT certifications, and 8 years of teaching experience.