Introduction to Python: Loops, Functions and Applications

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For many years, I have successfully supported Swiss students in the fields of statistics, data analytics, machine learning, and artificial intelligence. I have gained extensive experience using R as a statistical programming tool and know exactly what students in Switzerland are required to do. I have numerous sample projects, datasets, and exam questions at my disposal and have prepared many students for their assignments and exams in a targeted, sustainable, and highly successful manner. My focus is on explaining complex statistical procedures, algorithms, and data analyses in an understandable way, demonstrating them in a practical way, and building confidence in the secure handling of data. My goal is not only to improve grades, but also, in the long term, to develop a deep understanding of data-driven questions and modern technologies such as machine learning and AI, which are crucial in later professional life. ► How do I teach? ►I attach great importance to ensuring that my students truly understand statistical concepts, data analytics methods, machine learning, and AI models, rather than just applying them mechanically – this is how we achieve sustainable success in statistics, data analytics, and modern technologies. ►My success is based on my ability to flexibly adapt my teaching style to the individual needs of students in statistics, data analytics, machine learning and AI, including topics such as regression methods, logistic regression and other machine learning algorithms. ►I use practical, lively examples from statistics, data science and AI to clearly explain abstract concepts such as hypothesis testing, analysis of variance, linear and nonlinear models and to anchor them deeply in the memory. ►With patience and clarity, I break down complex statistical analyses, machine learning models, and data processes into their essential components so that no student is overwhelmed and can build a solid foundation in statistics, data analytics, and AI. ►I am convinced that trusting collaboration is crucial to reducing uncertainty in statistics or data science and creating a productive learning atmosphere. ►I offer intensive exam preparation and project support in statistics, data analytics, machine learning and AI, develop strategies to combat exam anxiety with my students and train them on real data sets and complex algorithms. ►As an experienced online tutor for statistics, data analytics, machine learning, and AI, I use modern tools such as interactive whiteboards and live coding sessions in R to make teaching as efficient and practice-oriented as possible. ►Locations: I teach statistics, data analytics, machine learning, and AI at your home, online, or by appointment – flexible, professional, and tailored precisely to your needs.

Python is a high level programming language. It's object oriented approach help programmers to write simple and logical codes. Due to its easy syntax, it is actually easier as compared to other programming languages. Having years of experience in coding language, I know how and where to start and move the topics at a good pace. I'll be starting with you from scratch and help you to build your concepts and master over the language. I am providing you a brief summary of our course which we generally follow but that doesn't mean that I am bound to just this much content. In case you have any doubt for any other specific topic related to the subject, you could always come up to me or you need any help in your assignments or projects, you are always welcome. Here is a brief overview of the topics we'll be covering : 1: Introduction To Python • Installation and Working with Python • Understanding Python variables • Python basic Operators • Understanding python blocks 2: Python Data Types • Declaring and using Numeric data types: int, float, complex • Using string data type and string operations • Defining list and list slicing • Use of Tuple data type 3: Python Program Flow Control • Conditional blocks using if, else and elif • Simple for loops in python • For loop using ranges, string, list and dictionaries • Use of while loops in python • Loop manipulation using pass, continue, break and else • Programming using Python conditional and loops block 4: Python Functions, Modules And Packages • Organizing python codes using functions • Organizing python projects into modules • Importing own module as well as external modules • Understanding Packages • Powerful Lamda function in python • Programming using functions, modules and external packages 5: Python String, List And Dictionary Manipulations • Building blocks of python programs • Understanding string in build methods • List manipulation using in build methods • Dictionary manipulation • Programming using string, list and dictionary in build functions 6: Python File Operation • Reading config files in python • Writing log files in python • Understanding read functions, read(), readline() and readlines() • Understanding write functions, write() and writelines() • Manipulating file pointer using seek • Programming using file operations 7: Python Object Oriented Programming – Oops • Concept of class, object and instances • Constructor, class attributes and destructors • Real time use of class in live projects • Inheritance , overlapping and overloading operators • Adding and retrieving dynamic attributes of classes • Programming using Oops support 8: Python Regular Expression • Powerful pattern matching and searching • Power of pattern searching using regex in python • Real time parsing of networking or system data using regex • Password, email, url validation using regular expression • Pattern finding programs using regular expression 9: Python Exception Handling • Avoiding code break using exception handling • Safe guarding file operation using exception handling • Handling and helping developer with error code • Programming using Exception handling 10: Python Database Interaction • SQL Database connection using python • Creating and searching tables • Reading and storing config information on database • Programming using database connections 11: Python Multithreading • Understanding threads • Forking threads • Synchronizing the threads • Programming using multithreading 12: Contacting User Through Emails Using Python • Installing smtp python module • Sending email • Reading from file and sending emails to all users addressing them directly for marketing 13: Python CGI Introduction • Writing python program for CGI applications • Creating menus and accessing files • Server client program In case you have any query, please feel free to contact me. Give yourself a chance for a better future. All the best

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Hello! I am Hadia, and I am an experienced coding tutor for kids, teens, and adults. I teach Scratch and App Inventor coding for kids and Python for teens and beginners. I have 20 years of experience in the education field; I worked as a curriculum developer and educational supervisor, and I had the chance to teach computer science subjects for all grade levels, from kindergarten through secondary classes. I believe that teaching programming isn’t just about how to type lines of code. It is more about teaching how to think logically. I usually customize the content according to the student's needs and interests, and I encourage my students to create their own projects that make learning more meaningful and enjoyable.

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