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Python Training

Training type: E-learning (online)
Language: English
Online access: 24/7, 365 days after activation
Interactive multimedia lessons with video, audio and subtitles
Videos of up to 3-10 minutes, watchable at your own pace
Practical exercises with real-time analysis of actions and results
Flexible management with progress reporting
View lessons by specific topic
Your answers are immediately evaluated
The software tells you exactly where your possible mistakes lie
Possibility to repeat an assignment (unlimited)
View solution videos
Java Certifications
Tips & Tricks
Exam Quiz
MeasureUp Exam Simulation (150+ questions)
LiveLabs (if available)
Award Winning E-learning
Full training for the official Exam
User-friendly environment
Includes Online Tutor (via email and chat)
Certificate of Participation included

What is Python?

Python is a high-level universal programming language widely used for web development, scientific computing, data analysis, artificial intelligence and more. It was created by Guido van Rossum in the late 1980s and has since become one of the most popular programming languages in the world. Python is known for its simple, easy-to-read syntax, making it an ideal language for beginners and experienced developers alike.

With its extensive set of libraries and tools, Python offers limitless possibilities for application development, making it an essential tool for any programmer or data scientist. Whether you want to build a Web application, perform complex data analysis or automate tasks, Python is a powerful, versatile language that offers a wealth of tools and support for users of all levels.

How does Python work?

Python is a high-level, general-purpose interpreted programming language that translates code written in Python into machine-readable code. The code is executed in real-time line by line, without the need for a separate compilation step, making it a popular choice for scripting, rapid prototyping, data analysis, machine learning and scientific computing. The code is compiled into bytecode and interpreted by a Python virtual machine, enabling fast and efficient execution.

Python supports multiple programming paradigms, including procedural, object-oriented and functional programming, and has a large standard library that supports a wide range of tasks, such as connecting to Web servers, reading and writing files and working with data. Its ease of use, large community and extensive libraries make Python a popular choice for Web development, data analysis and scientific computing.

Here are three examples of how Python is used in different applications:

Web development: Python is often used as a back-end language for Web applications because of its ability to handle large amounts of data and its wide range of libraries for Web development. The popular web framework Django is written in Python, and many websites, including Instagram and Pinterest, are powered with it.
Data analysis: Python is widely used for data analysis and data visualization because of its extensive libraries for handling and manipulating data, such as NumPy and Pandas. These libraries make it possible to perform complex data analysis tasks quickly and easily.
Machine Learning: Python has a range of libraries for machine learning, including scikit-learn, TensorFlow and PyTorch. These libraries make it easy to build and train machine learning models, and are widely used in the field of artificial intelligence. Python is also used for natural language processing and computer vision, among other areas of AI.

Taking Python exams

Python certification exams test the candidate's understanding of basic programming concepts, data structures and algorithms. They also test the candidate's ability to write, debug and maintain Python code. In addition, the exams may also test the candidate's ability to use libraries and modules in Python, as well as their understanding of database programming and Web development using Python.

Typically, the exams are computer-based, multiple-choice and time-based. They may also include hands-on exercises that require the candidate to write and execute code in a Python environment. Certification bodies usually release the results of the exams within a few weeks, and the certificate is awarded to those who pass the exams.

It is important to note that the certification exams are designed to test the candidate's knowledge and skills in Python programming, and passing the exams does not guarantee a job in the field. However, having a certification can show potential employers that the candidate has a strong foundation in Python and can apply their skills to real-world problems.

Additional information on taking Python exams:

Availability: Python certification exams are usually available online, allowing individuals to take the exam at their own pace and convenience. Some certification exams may also be offered in a supervised environment.
Cost: The cost of a Python certification exam varies, depending on the certifying organization and the level of certification. Some exams require a one-time fee, while others have recurring costs for maintenance or renewal.
Eligibility: Eligibility for Python certification exams can vary, but usually requires a certain level of experience and knowledge of the language. Some Python certifications may require the person to have had training or hands-on experience working with Python.
Form of exam: Python certification exams can be computer-based and consist of multiple-choice questions or performance-based tasks. The form of the exam depends on the level of certification.
Preparation: Preparation for a Python certification exam usually includes studying the language and its applications, as well as reviewing exam objectives and topics.
Validity: Python certification exams may have a limited validity period, after which the certification must be renewed. The validity period depends on the certifying organization and the level of certification.
Recertification: Some Python certification exams require recertification to maintain the validity of the certification. Recertification may involve taking a new exam or demonstrating continued learning and professional development in the field.

Taking a Python certification exam can help people demonstrate their proficiency in the language and validate their knowledge and skills to potential employers and clients. Preparation, eligibility and cost depend on the certifying organization and level of certification.

Here's how Python can help your company

Python can be a valuable tool for businesses in several ways:

Data analysis and visualization: Python has powerful libraries for data analysis, such as Pandas and Numpy, that make it easy to manipulate, clean up and analyze data. Libraries such as Matplotlib and Seaborn allow companies to create visual representations of data that make insights more accessible and actionable.
Automation: Python's ease of use and readability make it an excellent choice for automating repetitive tasks, freeing up time and resources for more important work.
Web Development: Python is used by many Web sites and Web applications as a server-side language, and its powerful libraries, such as Django and Flask, make it easy to build dynamic, scalable Web sites.
Machine Learning: Python has a strong ecosystem of machine learning libraries, such as TensorFlow and scikit-learn, that make it possible to build predictive models and analyze large data sets.
Scientific computing: Python is widely used in scientific and research communities because it has a large number of libraries for numerical and scientific computation, such as Scipy and SymPy.
Game development: Python is used to build games, both standalone and browser-based. Its simplicity and ease of use make it a popular choice for game developers.

Python's versatility, robust libraries and large community make it a valuable tool for companies in all kinds of industries, from finance and retail to healthcare and technology.

Python training

Python courses are suitable for any IT professional, whether private or business. According to your already acquired training and knowledge, you choose which Python course you want to start with or continue with. Do you need advice? Then we are at your service via phone, chat and email.

For each online course purchased, you have 1 year of access. 24 hours a day, 7 days a week for up to 365 days. So you decide when and how long you learn for the training. Is the daytime not convenient? The evening and night are available to you. Even if you go on vacation for a few weeks, this is no problem and you simply pick it up again after your well-deserved vacation.

Python Roadmap

Python Certifications

A Python certification is a confirmation of one's proficiency in using the Python programming language. There are a number of Python certifications available, each targeting different levels of experience and knowledge.

The Python Institute offers the following certifications in the Python language:

Oracle Certified Professional, Python SE 11 Developer: This Oracle certification is for individuals who have in-depth knowledge of the Python programming language and its functions. It is designed for developers who use Python to develop applications and want to demonstrate their skills and knowledge. The certification requires passing an exam on topics such as data structures, modules, exceptions and file processing.
Certified Professional in Python Programming 1 (PCPP-32-1): This certification is offered by the Python Institute and is designed for individuals who want to prove their skills in the Python programming language. The certification requires passing a certification exam that covers topics such as basic types, control structures, functions and modules.
PCEP - Certified Entry-Level Python Programmer: Also offered by the Python Institute, this Python certification is designed for individuals who are new to programming or who want to start their career as a Python developer. The certification requires passing an exam that covers the basics of programming, such as data types, control structures and functions.
PCAP - Certified Associate in Python Programming: This Python certification is offered by the Python Institute and is designed for individuals who have a good understanding of the Python programming language and its functions. The certification requires passing an exam that covers more advanced topics, such as object-oriented programming, error handling and modules.
PCPP - Certified Professional in Python Programming: This Python certification is offered by the Python Institute and is designed for individuals who want to prove their skills as professional Python developers. The certification requires passing an exam on advanced topics such as file management, regular expressions and multithreading.

These certifications provide a comprehensive evaluation of one's knowledge of Python programming, including both theoretical and practical aspects.

The certification path usually begins with the PCEP certification, which is suitable for individuals with little or no programming experience. Then one can progress to the PCAP certification and finally to the PCPP certification, the highest level of certification in the Python language.

Each certification level requires passing a written exam, and some certifications may also include a practical component. To prepare for the exams, various resources can be used, including online courses, textbooks and practice exams.

Python certifications are recognized worldwide and can be useful for individuals looking to increase their career opportunities or for companies looking to validate the skills of their employees.

Jobs and career-related Python certifications

A person with a Python certification can pursue several career paths in software development, data analysis and machine learning. Here are some of the most common positions for a Python certified professional:

Python Developer: A Python developer is responsible for writing server-side Web application logic. They develop back-end components, connect the application to Web services, and support front-end developers.
Data Analyst: A data analyst uses Python to process, cleanse and model data for analysis and reporting. They work with large data sets to identify trends, patterns and insights that can inform business decisions.
Machine Learning Engineer: A machine learning engineer uses Python to develop and implement machine learning algorithms and models. They are responsible for selecting appropriate algorithms, training and testing models, and integrating them into production systems.
Research Scientist: A Research Scientist uses Python to develop and implement algorithms for scientific research, such as in fields like physics, biology or finance.
Web Developer: A web developer uses Python to build and maintain dynamic websites and web applications. They may use frameworks such as Django or Flask to build the back-end of websites and ensure scalability and security.
DevOps Engineer: A DevOps engineer uses Python to automate deployment, scaling and management of applications and infrastructure. They write scripts and tools to automate processes and improve system reliability and performance.
Financial Analyst: A financial analyst uses Python to automate financial data analysis and reporting. They work with financial data to identify trends, build predictive models and generate insights for financial planning and decision making.

A Python certification can provide a wide range of career opportunities in various industries, including technology, finance, healthcare and retail.

History of Python

Python was created in 1989 by Guido van Rossum and first released in 1991. Python's design philosophy emphasizes code readability and ease of use, and its syntax allows developers to express concepts in fewer lines of code than in many other programming languages. The language's popularity grew rapidly, and it has since become one of the most widely used programming languages in the world.

Today, Python is used in a wide range of applications, including Web development, scientific computing, data analysis, artificial intelligence and more. In addition to its versatility, Python has a large and active community of users, who contribute to its ongoing development and the creation of a wealth of libraries and tools that make it easier to work with.

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