Computer courses, transversal concepts and language specificities

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From 13.39 £ /h

Many free resources exist for learning a specific language, most of the time with a common thread consisting of creating a game or a website.
This approach is very suitable for a beginner new to programming and / or development. However, in order to progress, it seems important (if not essential) to me to take a more theoretical look and to study the elements of a language as abstract concepts which take precise forms in different languages.
My engineering degree in telecommunications, my web development experience and a computer research internship (around the notions of asynchronism and competition) are at the origin of my opinion on the importance of mastering concepts in addition to languages.

Two approaches are therefore considered:

1. Guided and personalized learning of a precise programming language for people new to computer science. As the resources are mostly in English and intended for a very large audience, private lessons can be helpful.

2. for people already familiar with one or more languages, in-depth exploration of certain concepts in order to be able to generalize them and clearly understand their uses and goals. This approach is accompanied by examples in other languages and a discussion around use cases and limitations of the model.

Obviously I do not master all programming concepts (far from it). For beginner to intermediate courses I am able to address a large part of the spectrum. For advanced courses, on the other hand, I suggest taking stock of the concepts and expectations to check that I am able to provide quality education.

The languages for which you can ask me are: C #, C, Java, Python, Kotlin, Javascript

Location

Online from France

About Me

I received my engineering degree in 2020 and should be doing a thesis this year. For the more curious, this thesis should address the different models of competition and asynchronism as well as the design of an alternative model responding to a certain number of constraints and issues.

Computing is an important science (as well as a personal passion of course) which has many ramifications and it saddens me greatly that online resources are mainly around commercial objectives (creation of e-commerce sites typically) or ready-made projects.
I think this playful and relatively short-term approach is crucial in keeping a student motivated and in creating a sense of progression. However, it must be accompanied in my opinion by a more general reflection on abstract computer concepts.

Javascript is a widely used language with high demand from employers. But out of the mass of JavaScript developers how many know what prototypes are? How many are able to compare the JavaScript approach with the approach of an object oriented language like Java or C #? How many know the link between the role of functions in JavaScript and this vision of objects?

This example illustrates my approach: learning a language is good, taking the time to observe these characteristics and put them in perspective with those of other languages is better. This allows you to gain height, to better understand how a language is thought out and to use it in a more appropriate way.

Education

Scientific baccalaureate mention very well in 2015.
Engineering degree in telecommunications from INSA Lyon in 2020.
Thesis project which should see the light of day in early 2021.

Experience / Qualifications

Four-month web development internship (Python flask back-end, Vuejs front-end) at Excube, a cybersecurity consulting firm in Lyon (2019).
Six month research internship at Red Hat (March 2020 to August 2020).

Multiple personal projects that we can discuss, including an educational tool based on the book Nand2Tetris, an excellent book that talks about computing at several levels.

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

90 minutes

120 minutes

The class is taught in

French

English

Skills

Computer science

Computer programming

Computer engineering

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

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Variables and data types
Operators and expressions
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Types of loops and loop control
Functions and scope
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Mini projects and problem-solving exercises

2. Advanced Python Programming
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Lambda functions and list comprehensions
Generators, yield, and closures
Decorators
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File handling and exception handling
Mini projects integrating multiple concepts

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Working with NumPy arrays
Using Pandas DataFrames and Series
Data cleaning, filtering, and transformation
Handling missing values and duplicates
Grouping, aggregation, and pivot tables
Exporting data to CSV and Excel
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