Python for Young Coders Beginners Computer Programming Online Classes

From 8.08 € /h

Python Young Coders - Beginners program is meant for kids learning conventional programming. Fun way of learning python concepts and few game development with coding. Course Content. Liveonline classes by industry experts.
Python for Young Coders – Level 01
 Course Introduction
 What is Computer Programming?
 Python Introduction
 Let’s Talk to Python!
 Informal Introduction to Python
 Python Commands
 Write Your First Program
 Doing Math – Add, Subtract, Multiply,
Division, Comparison Operators
 Practice Exercises
 Python Magic
 Strings
 Strings Rules, String Operators & String Indexes
 Practice Exercises
 Variables
 Create Variables, Math Operations, String
Operations, Variable Comparisons
 Practice Exercises
 Errors
 Types of Errors & Fix Errors
 Data Types
 Integer, Float, String, Type Function
Python for Young Coders Course Syllabus LIVEKLAS
 Booleans
 Booleans in Expressions, Booleans Practice
 Logical Operators - AND, OR & NOT
 Practice Exercises
 Lists
 Lists – Objects & Index
 Practice Exercises
 Conditions - Logic
 If Statements, If-Else & If-Elif–Else
 Practice Exercises
 Loops
 Counting & Conditional Loops
 For & While Loops
 Break & Continue statements
 Practice Exercises
 Functions
 Define Function, Call Function, Parameters, Output
– Print & Return
 Practice Exercises
 Input Function & Range Function
 Modules
 Random, Time, Calendar etc.,
 Practice Exercises
 Final Project & Celebration

Extra information

Python fun learning

Location

Online from India

About Me

Krishna is a Passionate, dedicated professional with strong Technical and
Communication skills to impart the knowledge in young minds
★ 23+ Years of Experience in Top IT Software Companies (in India, USA & Abroad)
CSC, GE Healthcare, IBM Global Services, EDS, and Satyam
★ Academics Experience with excellent Teaching, Coaching, Mentoring, Trainings &
Coordination
★ Hands on Professional with Technologies in Python, R, Data Science, AI, ML
algorithms with Python and scikit-learn, Deep Learning with TensorFlow / PyTorch,
AI Chatbots, Business Analytics, Data Analytics, Power BI, Tableau, Big Data, SQL,
NOSQL, App Development, Games Development, Web Designing / Development,
Blockchain, RPA, CloudTechnologiesAWS,Azure, Google Cloud (GCP) …

Education

Master of Computer Applications (MCA)
BSC (ELECTRONICS)
Power BI Masters: Hands on with Projects (Apr - May 2020)
Tableau Masters: Hands on with Projects (Apr-May 2020)
Deep Learning A-Z™:Hands on Artifical Neural Networks Online Course by Udemy (Feb 2020)
Business Analytics With Excel by Simplilearn (Oct 2019)
PMI Risk Management Professional (PMI-RMP) by Simplilearn (Sep 2019)
Deep Learning with TensorFlow Online Course by Cognitive Class.ai {An IBM Initiative} (Sep 2019)
Lean Management by Simplilearn (Sep 2019)
AWS Technical Essentials by Simplilearn (Sep 2019)
AWS Cloud Practitioner Essentials by AWS Training and Certification
Introduction to Big Data and Hadoop by Simplilearn (Sep 2019)
Certified Scrum Master by Scrum Alliance (Sep 2019)
Diploma in Business Analyst (RPA) by UiPath (July 2019)
Diploma in Implementation Methodology (RPA) Teletrac Navman Australiaby UiPath (July 2019)

Experience / Qualifications

23 Years of IT professional experience And education experience
Passionate, dedicated professional with strong Technical and Communication skills to impart the knowledge in young minds. Positive attitude and willingness to take up additional responsibilities to groom the young minds with good attitude. Tech enthusiast and upskill new technologies, AI, ML, Deep Learning, Data Science, Power BI, Tableau, Python, R, Chatbots, App Development, Blockchain, RPA, Big data, and Cloud Technologies.

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Duration

90 minutes

The class is taught in

English

Skills

Computer programming

Computer science

Computer engineering

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

4.85

(13)

Engineer and senior professor of engineering sciences provides support courses in analog and digital electronics at all levels, engineering schools. having a scientific and technical knowledge, five years of experience in the field of teaching, teaching and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they have difficulties. for more info please contact me

Robert

4.85

(13)

As a Franco-Belgian management teacher, I give Excel lessons with passion!
Whether remotely or face-to-face, I offer many examples and exercises to accompany you.
I travel without problem throughout the region of Brussels and its surroundings, for lessons of at least 2 hours. For France, courses are only given remotely.

Here are some key words that will be covered in my classes:
Scenario analysis, Year, Rounding, Today, Bdnb, Bdnbval, Bdsum, Search, Column, Copy/paste in values, Copy/paste with transposition, Consolidation, Date, Datedif, Determat, Dollar, Right, Righterg, Equiv, Esterror, Estna, Frequency, Filter (simple and advanced), Format of cells, Left, Large.Value, Printing of documents, Index, Indirect, Inversemat, Day, Weekday, Line, Matrix, Max, Maxa, Max.Si, Min , Mina, Mina.If, Formatting of cells and ranges, Month, Average, Average.If, Nb, Nb.If, Nbval, Naming of cells and ranges, No, Small.value, Product, Productmat, Protection of cells, Lookup (Lookup), Lookupv (VLookup), Lookuph (HLookup), If (If), If.Not.Disp, If.Conditions, Iferror, Sum, Sumproduct, Sum.If, Sum.If.Set, Substitute , Pivot tables, Sorting, Cell locking

Do not hesitate to contact me to organize your lessons according to your needs and availability. Together, we will develop your Excel skills in an efficient and personalized way.

Adam

4.85

(13)

I support university and engineering school students in the advanced mastery of mathematics, physics and computer science.

The approach is rigorous, structured and results-oriented, with a focus on deep understanding of concepts, solving complex problems and succeeding in demanding exams.

✔ Methodology adapted to preparatory classes and engineering schools
✔ Clear and precise explanation of advanced concepts
✔ Intensive training on exam questions and typical problems
✔ Development of logic and scientific autonomy
✔ Personalized support to strive for excellence

Objective: to help you gain mastery, efficiency and level to succeed in the most demanding fields.

Youssef

4.85

(13)

doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me

Reza

4.85

(13)

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities.
The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking.
The topics in our lesson include:
• Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions
• Boolean Algebra: Substitution laws
• Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition.
• Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures;
• Deduction: Valid arguments and proofs; Proofs in predicate logic

If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

Jean-Michel

4.85

(13)

I have known and used the Mac since 1989 and since 2014 it has become my main activity and I have more than 1600 customers in Switzerland and neighboring France. I give at-home lessons if necessary and online lessons and troubleshooting with the Messages app on your Mac, from Apple ID to Apple ID, in complete security.
If you have problems with your Mac, updates to make or training needs on Mac OS or apps like Contacts, Safari, Mail, system settings and optimizations and security (malware), iCloud, Photos, printers and passwords, etc... do not hesitate to call me.
I have been registered with the Geneva commercial register and with the French-speaking business federation since 2015.

Baia

4.85

(13)

Code Your Ideas Into Reality 💻🚀
Want to build your own website or start a tech career? This class is perfect for absolute beginners who want to learn Python and use it to build real, working web apps with Django. You'll go from writing your first line of code to deploying complete projects - step by step, clearly explained, and handsOn.

✨ No experience needed.
🧠 Learn by doing - real apps, real logic.
🌍 Build skills for school, work, or freelance life.

Let’s turn your curiosity into code. First session gets you started!

Vincent

4.85

(13)

With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world.

Expertise & Teaching Areas:
✅ Programming & Software Development: Python, Java, C++
✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

Curriculum & Pedagogical Experience:
🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking.
🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

Professional Impact:
📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
📌 Developed interactive lesson plans integrating real-world applications of technology.
📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
📌 Guided students in project-based learning, including app development and website design.

With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.

Dr.Ibrahim

4.85

(13)

This course provides a foundational understanding of Information Technology, data centers, covering architecture, power & cooling, networking, storage, virtualization, security and lots more. Learn best practices for efficiency, scalability, and reliability while exploring emerging data center solutions. Ideal for IT professionals, engineers, and facility managers involved in data center deployment or management.

This course offers a comprehensive exploration of Information Technology, data center infrastructure, guiding students through the entire lifecycle—from initial design and planning to day-to-day operations and long-term performance optimization. Students will learn the critical components of data center design, including site selection, power and cooling systems, space planning, networking, and physical security. The course also covers operational best practices, monitoring tools, energy efficiency strategies, disaster recovery planning, and emerging trends. By integrating technical, environmental, and management perspectives, students will gain the knowledge and skills required to build and maintain high-performance, cost-effective, and sustainable data center environments.

Dr.Ibrahim

4.85

(13)

This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.

Raouf

4.85

(13)

Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?

Nicolas

4.85

(13)

I am a dynamic and demanding teacher who gives private lessons in Physics-Chemistry as well as Mathematics.

I graduated from teaching seven years ago, after a masters in physical sciences with honors, and I teach in college and high school since.
I have also been preparing students for the Baccalaureate Science for many years, all of whom have been awarded very good honors.
I also prepare my students for different exams (Matu, Bac, preparation for EPFL, etc...)

I make sure to rework the basics so that the student can progress quickly. It is important to me that my students acquire a solid foundation of knowledge.
I also give effective work methods that will allow him to progress much more quickly and so he can regain self-confidence.

I can travel to the student's home or also conduct the lesson via Zoom/Google Meet.

Martin

4.85

(13)

Working part-time in the watch industry, I have been tutoring for several years in the context of refresher, occasional support or preparation of exams or competitions. Very experienced in relation to the difficulties encountered by students and pedagogue, I adapt to the needs of each to quickly regain the necessary confidence, the methodology of mathematical reasoning and allow a rapid improvement of results.
Experienced and pedagogue, I adapt to the needs of the student to help him consolidate his knowledge methodically, to regain confidence and improve as quickly as possible its results. I teach these courses in a radius of 30 km around Geneva.

Linus

4.85

(13)

Python for Beginners – Personal and Practical Online Lessons
Want to learn Python in a clear and structured way?
I offer online lessons tailored to your level, pace, and learning goals.
Whether you're an absolute beginner or already have some basic knowledge, we'll work step by step to build a strong programming foundation.
What will we cover?
Depending on your starting level, we can work on:
• Variables and data types
• Input and output
• If/else structures
• For and while loops
• Working with 1D and 2D lists
• Writing and using functions
• Working with files
• Basic error handling
• Programmatic thinking and problem solving
The content of the lessons is tailored to your goals, for example, for school, self-study, or exam preparation.
Lesson Structure
Each lesson consists of a combination of:
• Code analysis of sample programs
• Theory with concrete code examples
• Explanation of the underlying logic
• Exercises for independent practice
The goal is not just to learn what to type, but to understand why the code works and how to arrive at a solution yourself.
Who is this suitable for?
• Absolute beginners
• Students taking Python at school
• People who want to start programming
• Anyone looking for structured guidance
What can you expect?
• Personal guidance
• Explanation at your own pace
• Practical assignments
• Focus on understanding instead of speed
Not a fixed, standard course, but targeted guidance tailored to your learning process.

Laroussi

4.85

(13)

Session 1: Revolutionizing your Scientific Writing with LaTeX & AI
Duration: 2 Hours | Level: Beginner | Tools: Overleaf + AI**

First Hour: Foundations and Cloud Environment (60 min)

1. Introduction to LaTeX Philosophy (15 min)

- The "WYSIWYM" concept:** Explain the difference between Word (*What You See Is What You Get*) and LaTeX (*What You See Is What You Mean*). Why content takes precedence over form.
- Key advantages:** Unrivaled typographic quality, automatic reference management, stability on long documents (theses), and free of charge.
- The structure of a file:** Distinction between the **preamble** (the brain: settings and packages) and the **body of the document** (the heart: text).

2. Immersion in Overleaf (25 min)

- Configuration:** Creation of an account and first project "Blank Project".
- Exploring the interface:** The file panel (left), the code editor (middle) and the PDF preview (right).
- Real-time collaboration:** How to share a project and leave comments (like on Google Docs).
- History and versions:** How to revert to a previous version in case of a compilation error.

3. Practical Workshop: My First Document (20 min)

* Writing basic commands: `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation of the document and observation of the result.
* Structuring: Use of `\section` and `\subsection`.

Second Hour: Mathematics and the Magic of AI (60 min)

4. The Power of Mathematics (20 min)

- Mathematical modes:** Difference between the text (`$...$`) and the centered block (`\[...\]`).
- Essential syntax:** Fractions `\frac{}{}`, exponents `^`, indices `_`, and roots `\sqrt{}`.
- Introduction to AMS packages: Why amsmath and amssymb are essential for professional rendering.

5. From hand to screen: AI at the service of LaTeX (30 min)

- Presentation of OCR tools:** Use of **Mathpix Snip** (the leader) or models like Gemini/ChatGPT to transform a photo into code.
- Concrete demonstration:
1. Take a picture of a complex handwritten formula (e.g., an integral with matrices).
2. Use AI to generate the corresponding LaTeX code.
3. Correction and insertion: Learn to check the AI-generated code before copying and pasting it into Overleaf.

6. Conclusion and Q&A (10 min)

* Summary of achievements.
* Resources for further exploration
* Definition of the exercise for the next session.