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Advanced Python Training

  • Training Duration:
  • 4 Days
  • Training Environment:
  • On-site at the Institution
  • In DVA Classrooms
  • Online
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PYTHON 3 PROGRAMMING

About the Training

Advanced Python Training provides participants with deeper knowledge and skills in the Python programming language. This training offers a more profound understanding of Python, covering topics such as data structures, functions, modules, packages, threading, socket programming, and web programming. These advanced topics are reinforced through hands-on examples and projects, allowing participants to apply what they have learned in practice.

The Advanced Python Training not only addresses advanced topics in the Python programming language but also focuses on important aspects such as performance, efficiency, and security. The training presents these topics along with practical examples and projects, enabling participants to apply their knowledge in a practical manner.

The training ensures that participants acquire advanced skills in the Python programming language. By the end of the training, participants will have a stronger understanding and proficiency in Python, making them more qualified and in-demand Python programmers in the job market.

Additionally, Advanced Python Training focuses on Python’s applications in various fields. For example, it emphasizes the use of Python in areas such as data science, artificial intelligence, web development, and automation. Participants will learn how to develop projects in these fields using the Python language.

The Advanced Python Training is open to anyone aiming to gain advanced skills and knowledge in Python. It is ideal for those who want to gain deeper mastery of Python and understand more complex topics in the language. By the end of the training, participants will be able to use the Python programming language at a more advanced level and develop more complex projects with Python. This creates new career opportunities for participants and makes them more in-demand Python programmers. This training helps participants elevate themselves to a higher level in the Python programming language, emphasizing the importance of having more advanced knowledge and skills in Python. It ensures that participants possess a broader set of knowledge and skills in the Python programming language.

What Will You Learn?

In the Advanced Python Training, participants can learn the following:
  • Advanced Data Structures: Learn the advantages and disadvantages of data structures such as lists, dictionaries, sets, and ordered dictionaries.
  • Advanced Functions: Understand recursive functions, lambdas, and the advantages and disadvantages of using functions.
  • Modules and Packages: Learn how to use, create, and share modules and packages in Python.
  • Threading and Processes: Discover how to use, configure, and optimize threading and processes in Python to enhance performance.
  • Socket Programming: Develop skills in network programming using sockets.
  • Web Programming: Learn how to create dynamic web applications using Python web frameworks like Flask and Django.
These topics are just examples, and the content of the Advanced Python Training may vary depending on the instructor and the needs of the participants.

Prerequisites

To participate in Advanced Python Training, the following prerequisites are generally required:
  • Basic Python Knowledge: Participants are expected to have a fundamental understanding of the Python programming language.
  • Programming Experience: Participants should have experience with another programming language or possess basic knowledge of a programming language other than Python.
  • Algorithms and Data Structures: Participants should have a basic understanding of algorithms and data structures.
These prerequisites should be considered general recommendations, and instructors may adjust them based on the levels and needs of the participants.

Who Should Attend?

The following individuals might be interested in participating in Advanced Python Training:
  • Programmers with Basic Python Knowledge: Programmers who want to develop advanced Python programming skills.
  • Those Experienced in Another Programming Language: Individuals who have used another programming language and want to transition to Python can enhance their advanced Python skills through this training.
  • Business or University Students: Students in business or university programs may want to acquire advanced knowledge and skills in the Python programming language.
  • Web and Network Programmers: Web and network programmers may seek advanced knowledge and skills in areas where Python can be applied.
These examples are just suggestions, and anyone interested in advancing their Python skills can join an Advanced Python Training that suits their needs and interests.

Outline

Python Data Structures and Operations
  • Integers and floats
  • Strings and bytes
  • Tuples and lists
  • Dictionaries and ordered dictionaries
  • Sets and frozen sets
  • Data frame (pandas)
  • Conversions
Object-Oriented Programming with Python
  • Inheritance
  • Polymorphism
  • Static classes
  • Static functions
  • Decorators
  • Other
Data Analysis with Pandas
  • Data cleaning
  • Using vectorized data in pandas
  • Data wrangling
  • Sorting and filtering data
  • Aggregate operations
  • Analyzing time series
Data Visualization
  • Plotting diagrams with matplotlib
  • Using matplotlib from within pandas
  • Creating quality diagrams
  • Visualizing data in Jupyter notebooks
  • Other visualization libraries in Python
Vectorizing Data in Numpy
  • Creating Numpy arrays
  • Common operations on matrices
  • Using ufuncs
  • Views and broadcasting on Numpy arrays
  • Optimizing performance by avoiding loops
  • Optimizing performance with cProfile
Processing Big Data with Python
  • Building and supporting distributed applications with Python
  • Data storage: Working with SQL and NoSQL databases
  • Distributed processing with Hadoop and Spark
  • Scaling your applications
Extending Python (and vice versa) with Other Languages
  • C#
  • Java
  • C++
  • Perl
  • Others
Python Multi-Threaded Programming
  • Modules
  • Synchronizing
  • Prioritizing
Data Serialization
  • Python object serialization with Pickle
UI Programming with Python
  • Framework options for building GUIs in Python
  • Tkinter
  • Pyqt
Python for Maintenance Scripting
  • Raising and catching exceptions correctly
  • Organizing code into modules and packages
  • Understanding symbol tables and accessing them in code
  • Picking a testing framework and applying TDD in Python
Python for the Web
  • Packages for web processing
  • Web crawling
  • Parsing HTML and XML
  • Filling web forms automatically

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