Competitive Programming in Python 128 Algorithms to Develop your Coding Skills BOOK FULL FREE PDF 2023

 Competitive Programming in Python 128 Algorithms to Develop your Coding Skills

FREE BOOK PDF FULL 2022.

Learning Programming Languages, Python:

Increasingly popular with developers, Python is often considered a simple language with multiple implementations. Zoom on a non-exhaustive selection of six online courses to discover the contours of the language or deepen its knowledge. 

PYTHON learning programming languages is a BEST choice. 

Because of its readability, it is generally the first programming language taught in schools. It’s an excellent launching pad. 

«This is a language that is becoming very popular, whereas its creation dates from the 1990s», confirms Ornella Biasioli, senior manager for the recruitment firm Robert Walters. 

 But what can we do with that language? 

Python is the official language of Google, it feeds Instagram, and even runs on Intel chips for testing. This is the most common language used in professions that revolve around data,” adds Ornella Biasioli. 

But it also has distinct advantages. 

 €45,000 average annual salary for a Python developer:

These libraries can be considered as tools or programs that handle much of the coding.

Pandas, SciPy and NumPy can BE manipulate and analyze SETS data . 

This is why developers often turn to Python for data processing, statistics or artificial intelligence, but also for web development. 

The average annual salary of a Python developer in Île-de-France peaks at more than €45,000, according to Indeed, and a recent study showed that this language was increasingly appreciated by the teacher. 

 It remains a tool that fits into a curriculum or a career.

The important thing is not always the diploma:

If you don’t have time to go to school or want to save money, learning Python in an online course is an interesting alternative. If the National Register of Professional Qualifications (RNCP) certification courses are quite rare, this does not necessarily pose a problem, according to Ms.Biasioli: The important thing when a recruiter is looking for this type of profile is not the diploma. If the candidate passes the Python tests, the company will not go to the certifications. In fact, people looking to develop their skills in this field often already have a background or degrees in their fields.”
Description
If you already program a little in Python and you have the impression that you have done the whole language but that at the same time your code seems complex and not very optimized, then this training is for you.

It is possible to do a lot with basic knowledge of the language, but Python is full of advanced techniques, sometimes simple, sometimes complex, which, when you know them, greatly improve the quality of your code.

On the programme of this COURSE:

*Understand how Python objects work in memory, so you can optimize your code.

*Learn several functions that will allow you to reduce the number of lines of code you have to write.

*Use introspection so you can analyze your code to debug and understand it in depth.

*Document your code with docstrings.

*Check complex character strings with regular expressions.

*Install and manage Python modules on our machine with PIP.
*Know the 10 rookie mistakes and how to avoid and fix them

*Optimize your code and go faster with several tips that will make your scripts much more efficient and readable

*Use sets to perform complex operations on multiple lists

*Use args and kwargs to make your functions versatile and customizable

*Create your own iterative objects through iterators and generators.

*Algorithms to Develop your Coding Skills.

In this RACE, I propose you to go further, to discover all these little tricks, these advanced functions of the language and the errors to avoid, so that your code is more powerful, stronger and more professional.
Who is this course for?
People who have Python bases and want to go further.

Python is easy to learn:

The syntax of the lines of code has some clarity, which makes it easier to read and understand, even if you are not a Python expert. Venkatesan argues that learning and teaching Python through practical cases is a very good approach, as Python syntax obeys fewer rules than other languages. Indeed, the main focus is on the goal to be achieved by executing your code.

Python is a language of choice, that is to say for general use:

Python is an interpreted, interactive, object-oriented and high-level programming language for general use.
Developers now have the flexibility to make Python their preferred language in almost all areas of IT, including web development, cloud computing (AWS, OpenStack, VMware, Google Cloud, etc.), automation, software testing, Big Data (processing large volumes of data), Hadoop, etc.

Python is a versatile, cross-platform language:

Python is currently 28 years old. Even though it’s older than many of my readers, it’s still very interesting because it can be applied to just about any type of development, such as software design, web development, etc.,' said Engineer Venkatesan. He adds that it is also possible to use Python to manage infrastructure locally or in the cloud, to work on databases, to create custom functions integrated with data analytics software such as Hive or Pig. Venkatesan also argues that to build a tool for personal use, Python is an excellent choice.

In short, investing a little effort to learn Python will give you skills that will only enhance you on the job market,” says Venkatesan.

Python AND package managers: PyPI

Python is supported by PyPi, a repository of over 85,000 Python modules containing ready-to-use scripts. These modules provide functionality to your local Python environment and solve various problems related to database operation, data analysis, creation, etc.

Its goal is to provide the Python developer community with a comprehensive catalogue of all free Python packages. It is analogous to the CPAN filing for Perl.

Originally in Python programming language, it is one of the most popular in its use in data science, especially in the field of analysis and forecasting:

According to Venkatesan, Python, next to the R language, is the most used language in modern data science. The proof, the job offers for which it is necessary to have skills in Python are more numerous than those that require skills in R. Venkatesan adds that the skills you develop while learning Python will also be assimilated to expertise in the field of analytics.

Python is multiplatform and open source:

Python is usable on several platforms and is open source more than 20 years ago. If you need code that works on Linux, Windows and MacOS, think about Python.

He recalls that there are several robust Python implementations that are integrated with other programming languages.

Among these, we have:
CPython, a version with C.
It is a bytecode interpreter written in C language;
Jython, or Python integrated with Java.

The latter, formerly called JPython, is a Python interpreter written in Java and created in 1997 by Jim Hugunin;

designed IronPython IS compatible with NET and C#.
PyObjc, or Python written with the ObjectiveC language;
RubyPython, or Python combined with Ruby.

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