You will employ Frozen Sets structures to ensure that elements are immutable and do not accidentally change in the most professional way thanks to TECH”

Advanced Data and Flow Control become very important in solving problems related to Python programming. For example, in many applications, data are not simple numeric values or text strings, but more complex structures (such as lists, tuples or sets). By working with these advanced data types, computer scientists can model and handle information more effectively. For this reason, experts need to delve into this subject to become more skilled programmers, capable of optimizing processes. They also have a responsibility to keep abreast of developments in the IT field. 

To help them with this task, TECH implements a Postgraduate certificate that will analyze in detail Advanced Data and Flow Control with Python. Designed by experts in this subject, the syllabus will delve into both identifiers and keywords. In this way, students will master variable naming rules, reserved words and naming conventions. Likewise, the syllabus will delve into stringsformatting, based on Unicodeencodings. The didactic materials will also emphasize advanced control structures ranging from conditionals to function decorators. Graduates will have a comprehensive understanding and advanced skills for the practical use of Python in complex programming scenarios. 

This is a 100% online academic experience, which can be followed from anywhere and at any time. In this way, it is the students who individually plan their schedules and evaluation timetables. Therefore, students forget about preset schedules or face-to-face attendance at academic centers. In addition, they will be qualified through real cases and from the hand of the most consolidated experts in the IT panorama. 

TECH's 100% online methodology will allow you to update your knowledge without interrupting your professional work" 

This Postgraduate certificate in Advanced Data and Flow Control with Python 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 Python Development 
• 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 will delve into Floating Point Operations to make approximate representations of real numbers”

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.   

This program includes real case studies and exercises to bring the development of the program closer to the usual IT practice"

The Relearning methodology used in this Postgraduate certificate will get you to learn autonomously and progressively. At your own speed!"

This program will enable graduates to master advanced data and type management, while developing skills in program flow control. The syllabus will dive into identifiers and keywords in Python, covering the rules for variable names. In addition, the syllabus will explore integral and Boolean types, including conversions. Also, the teaching materials will delve into collections (such as tuples, lists or dictionaries) highlighting their comparison, efficiency and selection of the appropriate type. In addition, the program will provide an in-depth analysis of the use of lambda functions, their syntax, best practices and applications.  

You will master the Conventions and Practices for handling both identifiers and keywords”

Module 1.  Advanced Data and Flow Control with Python 

1.1. Identifiers and Keywords in Python 

1.1.1. Variable Naming Rules 
1.1.2. Python Reserved Words 
1.1.3. Naming Conventions 

1.2. Integral and Boolean Types in Python 

1.2.1. Integral Types 
1.2.2. Boolean Specific Operations 
1.2.3. Conversions and Representations 

1.3. Floating-point Types and Complex Numbers in Python 

1.3.1. Accuracy and Representation 
1.3.2. Floating Point Operations 
1.3.3. Use of Complex Numbers in Calculations 

1.4. String Formatting and Encodings in Python 

1.4.1. Advanced Formatting Methods 
1.4.2. Unicode and UTF-8 Encodings 
1.4.3. Working with Special Characters 

1.5. Collections: Tuples, Lists and Dictionaries in Python 

1.5.1. Comparing and Contrasting Types 
1.5.2. Type-specific Methods 
1.5.3. Efficiency and Selection of Suitable Type 

1.6. Sets and Frozen Sets in Python 

1.6.1. Creation and Operations in Sets 
1.6.2. Frozen Sets 
1.6.3. Practical Applications and Performance 

1.7. Iterating and Copying Collections in Python 

1.7.1. For Loops and List Comprehensions 
1.7.2. Shallow vs. Deep 
1.7.3. Iterators and Generators 

1.8. Using Lambda Functions in Python 

1.8.1. Syntax and Creation of Lambda Functions 
1.8.2. Applications in Filters and Maps 
1.8.3. Limitations and Best Practices 

1.9. Control Structures: Conditionals and Loops in Python 

1.9.1. if-else and elif Structures 
1.9.2. While and For Loops 
1.9.3. Flow Control with Break, Continue and Else 

1.10. Advanced Functions and Methods in Python 

1.10.1. Recursive functions 
1.10.2. Higher Order Functions 
1.10.3. Function Decorators 

TECH's goal is to offer you the most complete education in the market so that you can expand your knowledge and become more efficient in your profession"