Do you want to become an expert in Comprehensive Python Programming ? You will combine the elegance of the language with the power of modularity, facilitating the development of robust and efficient applications”

Comprehensive Python Programming stands out as the preferred choice for developers and companies. First of all, Python is known for its clear and readable syntax, which facilitates code comprehension. In addition, its versatility allows the efficient integration of different programming paradigms, such as Object Oriented Programming, providing a holistic and adaptable approach. Comprehensive Programming also stands out for its modular approach, facilitating the reuse of code and the maintainability of projects in the long term. The combination of both aspects results in a powerful and accessible tool. 

In this context, TECH has developed this Postgraduate diploma in Comprehensive Python Programming , which covers an extensive syllabus aimed at providing computer scientists with a comprehensive understanding of the language and to develop advanced programming skills. In this way, the creation and execution of programs in Python will be addressed, as well as the use of integrated development tools (IDEs) for the execution of scripts. 

Likewise, the course will delve into the comprehensive development of Python applications, so that the professional specializes in the design and advanced modeling of applications, effective testing and debugging, code optimization, deployment and maintenance of applications. In addition, aspects of application architecture and the handling of dependencies, security and authentication will be addressed. 

Likewise, the syllabus will focus on the use of essential libraries, flow control techniques and specific functions for data processing. Graduates will learn about best practices for coding, style, conventions, documentation, testing and debugging in the context of data analysis. Finally, online resources and Python communities will be discussed, facilitating access to a wide range of resources. 

Therefore, TECH will offer students a flexible and 100% online certification, based on the revolutionary Relearningmethodology, which focuses on the repetition of fundamental concepts to strengthen the assimilation of content. 

Take advantage of all the benefits of Comprehensive Python Programming , which simplifies the development process and offers unparalleled flexibility and power to meet the changing demands of the digital world”

This Postgraduate diploma in Comprehensive Python Programming contains the most complete and up-to-date program on the market. The most important features include:

• The development of practical cases presented by experts in Comprehensive Python Programming 
• The graphic, schematic and practical contents of the book provide theoretical and practical information on those disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies  
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments 
• Content that is accessible from any fixed or portable device with an Internet connection 

You'll apply SOLID principles and modular design, along with the use of UML and diagrams in application design and modeling, all through an extensive library of the most innovative multimedia resources”

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.  

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.  

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.   

You will delve into the management of object references, collection data, logical and arithmetic operations, and key concepts such as input/output, functions, strings and error handling"

Thanks to this 100% online Postgraduate diploma, you will be equipped with the necessary tools to face real challenges in the world of software development and data analysis using Python"

This Postgraduate diploma has been developed to provide professionals with a complete immersion in the field of Comprehensive Python Programming . From program creation to advanced data management, the syllabus will cover all the crucial aspects to forge highly competent developers. As such, the content will not only delve into the clear and readable syntax of Python, but will also delve into advanced concepts such as object reference management, modular design and common architectural patterns. 

From data analysis, to advanced project implementation, this syllabus will equip you with the essential skills to succeed in the dynamic programming landscape”

Module 1. Python Programming 

1.1. Creation and Execution of Python Programs 

1.1.1. Configuration of the Development Environment 
1.1.2. Execution of Python Scripts 
1.1.3. Integrated Development Tools (IDEs) 

1.2. Data in Python 

1.2.1. Primitive Types (int, float, str) 
1.2.2. Conversion and Casting of Data Types in Python 
1.2.3. Immutability and Data Storage in Python 

1.3. References to Objects in Python 

1.3.1. References in Memory 
1.3.2. Identity vs. Equality 
1.3.3. Reference Management and Garbage Collection 

1.4. Collection Data in Python 

1.4.1. Common Lists and Operations 
1.4.2. Tuples and their Immutability 
1.4.3. Dictionaries and Data Access 

1.5. Logical Operations in Python 

1.5.1. Boolean Operators 
1.5.2. Conditional Expressions 
1.5.3. Short-Circuit Evaluation 

1.6. Arithmetic Operators in Python 

1.6.1. Arithmetic Operations in Python 
1.6.2. Division Operators  
1.6.3. Precedence and Associativity 

1.7. Input/output in Python 

1.7.1. Reading Data from Standard Input 
1.7.2. Writing Data to Standard Output 
1.7.3. File Handling 

1.8. Creating and Calling Python Functions 

1.8.1. Function Syntax 
1.8.2. Parameters and Arguments 
1.8.3. Return Values and Anonymous Functions 

1.9. Using Strings in Python 

1.9.1. Manipulating and Formatting Strings 
1.9.2. Common Strings Methods 
1.9.3. Interpolation and F-strings 

1.10. Error and Exception Handling in Python 

1.10.1. Common Types of Exceptions 
1.10.2. Try-except Blocks 
1.10.3. Creating Custom Exceptions 

Module 2. Application Development in Python 

2.1. Python Application Architecture 

2.1.1. Software Design 
2.1.2. Common Architectural Patterns 
2.1.3. Requirements and Needs Assessment 

2.2. Design and Modeling of Python Applications 

2.2.1. Use of UML and Diagrams 
2.2.2. Modeling Data and Information Flow 
2.2.3. SOLID Principles and Modular Design 

2.3. Dependency and Library Management in Python 

2.3.1. Package Management with Pip 
2.3.2. Use of Virtual Environments 
2.3.3. Resolving Dependency Conflicts 

2.4. Design Patterns in Python Development 

2.4.1. Creative, Structural and Behavioral Patterns 
2.4.2. Practical Application of Patterns 
2.4.3. Refactoring and Patterns 

2.5. Testing and Debugging in Python Applications 

2.5.1. Testing Strategies (Unitary, Integration) 
2.5.2. Use of Testing Frameworks 
2.5.3. Debugging Techniques and Tools 

2.6. Security and Authentication in Python 

2.6.1. Application Security 
2.6.2. Implementation of Authentication and Authorization 
2.6.3. Vulnerability Prevention 

2.7. Optimization and Performance of Python Applications 

2.7.1. Performance Analysis 
2.7.2. Code Optimization Techniques 
2.7.3. Efficient Resource and Data Management 

2.8. Deployment and Distribution of Python Applications 

2.8.1. Deployment Strategies 
2.8.2. Use of Containers and Orchestrators 
2.8.3. Distribution and Continuous Updates 

2.9. Maintenance and Updating in Python 

2.9.1. Software Lifecycle Management 
2.9.2. Maintenance and Refactoring Strategies 
2.9.3. System Upgrade and Migration 

2.10. Documentation and Technical Support in Python 

2.10.1. Creating Effective Documentation 
2.10.2. Documentation Tools 
2.10.3. Strategies for Supporting and Communicating with Users 

Module 3. Data Processing and Big Data with Python 

3.1. Using Python on Data 

3.1.1. Python in Data Science and Analysis 
3.1.2. Essential Libraries for Data 
3.1.3. Applications and Examples 

3.2. Setting Up the Python Development Environment 

3.2.1. Python Installation and Tools  
3.2.2. Configuration of Virtual Environments 
3.2.3. Integrated Development Tools (IDE) 

3.3. Variables, Data Types and Operators in Python 

3.3.1. Variables and Primitive Data Types 
3.3.2. Data Structures 
3.3.3. Arithmetic and Logical Operators 

3.4. Flow Control: Conditionals and Loops 

3.4.1. Conditional Control Structures (if, else, elif) 
3.4.2. Loops (for, while) and Flow Control 
3.4.3. List Comprehensions and Generator Expressions 

3.5. Functions and Modularity with Python 

3.5.1. Use of Functions 
3.5.2. Parameters, Arguments and Return Values 
3.5.3. Modularity and Code Reuse 

3.6. Error and Exception Handling with Python 

3.6.1. Errors and Exceptions 
3.6.2. Exception Handling with Try-Except 
3.6.3. Creating Custom Exceptions 

3.7. IPython Tool 

3.7.1. IPython Tool 
3.7.2. Using IPython for Data Analysis 
3.7.3. Differences with the Standard Python Interpreter 

3.8. Jupyter Notebooks 

3.8.1. Jupyter Notebooks 
3.8.2. Use of Notebooks for Data Analysis 
3.8.3. Publication of Jupyter Notebooks 

3.9. Python Coding Best Practices 

3.9.1. Style and Conventions (WBS 8) 
3.9.2. Documentation and Comments 
3.9.3. Testing and Debugging Strategies 

3.10. Python Resources and Communities 

3.10.1. Online Resources and Documentation 
3.10.2. Communities and Forums 
3.10.3. Learning and Updating in Python

With a focus on best practices and modern methodologies, the program will push you to cultivate skills to effectively design, optimize and maintain applications”