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DevelopmentProgramming LanguagesPython

Intermediate Python Immersive Training | Boost your career

Develop your Python programming skills and Master next-level Python features
Rating: 4.5 out of 54.5 (295 ratings)
109,832 students
Created by Ahmed Ibrahim
Last updated 8/2021
English
English [Auto]

What you'll learn

  • Building Iterators
  • Coding regions in Python
  • Awesome string formatters
  • Generators in Python
  • Regular expression operations in Python 3.9.0
  • Python Built-in Modules
  • Making a Python Package

Requirements

  • Computer and any Text Editor or IDE
  • Python basics

Description

Welcome to The Intermediate Python Immersive Training | Boost your career

In this course, you will learn in depth the most important Python language topics for the intermediate level.

Once you have completed this course, you will be able to use all these techniques, which we will list in detail.

There is a wonderful feature in this course, as it explains in important detail all you need in these topics in a direct and practical way that saves you valuable time and effort.

Once you have completed this course, you will be able to understand and use the following techniques in your Python programs:

Iterator from fruitstuple and print each value,  Iterator from sequence of characters, for loop to iterate through a tuple, for loop to iterate through a string,  Build  an iterator that returns numbers, raise StopIteration, local scope of a function, local variable can be accessed from a function inside function function, global variables are available from within any scope, Naming and Renaming Variables, The global keyword makes the variable global, adding a placeholders, displayed as a number with two decimals, Adding Multiple Placeholders, Using index numbers for placeholders, Using named indexes, simple generator function with yield, return a value and terminate the execution of the function, Using generator function with for loop, yield square of number, loop and StopIteration automatically, Use generator expression, pass generator expression in a function, import the regular expressions module, Search the string to see if match or no match, regex function, metacharacters, special sequences and sets,  findall list of matches, Search for the first white-space, Making a search that returns no match, Split at each white-space in the string, replace every white space  and count parameter, search and return a match object, .span and Searching for upper case, string property to return the string passed into the function, Print the word that contains upper case, display a list of all available modules, create and change directory, getcwd and rmdir, list files and sub directories, sys module, math module, statistics, collections and namedtuple, collections and OrderedDict, collections and deque,  random module with functions, creating package called newpackage with files, use from newpackage newfunctions to main, work with init module and use modules, Installing collected newpackage, .... and more.


And if you have any inquiries in this course, the instructor will answer them and inform you in detail. In order to get the most out of this course.

I hope you will join us on this wonderful journey which I promise will truly benefit you.

Who this course is for:

  • Python Intermediates
  • Anyone who has finished the basics of Python and does not know where to go
  • Python developers who want to master new features of modern python
  • Anyone who wants to dive deeply into Python v3.9 Intermediate Topics without wasting time

Instructor

Ahmed Ibrahim
Software Engineer | Data Science Professional | Instructor
Ahmed Ibrahim
  • 4.3 Instructor Rating
  • 5,666 Reviews
  • 396,503 Students
  • 11 Courses

Software Engineer | Data Science Professional | Course Creator/Developer

I taught for more than 300,000 developers and engineers from over 175 countries around the world.

- Programming Languages: Python, R, JavaScript, Java and Go.

- Data Science: Data Analysis and Visualization tools and Libraries with Python, R, SQL and Spark.

- Databases: Relational and Non-Relational.

- Applied experience with many programming languages and tools, also a proficient knowledge and experience in Software Engineering and Data Science with skills to analyze, design and develop.

- Bachelor's degree of Electrical, Communications and Computer Engineering.

I'm always have a passion to develop my work and I like to simplify and clarify Software and Data Science skills and tools, and sharing my skills and expertise with others via high quality, and direct to point video training courses.

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