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Python lessons in Merouana

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Trusted teacher: Cybersecurity - VMware, Oracle VM VirtualBox, GRC, IP Forwarding, LDAP Linux, Nesus Kali, WireShark - basics nmap, WireShark HTTP and Netcat, WireShark Hunt and Exploration, WireShark_TCP and HTTP, Port-Mirroring and IDS, Linux CRON bash scripting cron-jobs, Netcat and SSH Traffic Analysis via Wireshark nmap, Snort, Vayos, Vulnerability Scanning with Nessus, Python and Math, vyos Firewall basics vayos ufw nmtui change IP, HTTP Intercept Proxies Kali OWASP, ZAPROXY, Mutillidae, Linux LAMP Setup CENTOS, ARPSpoof MITM, LVM and_Linux_Processes, OpenVPN aws, SQL Injection and XSS, System Hardening, Linux Shell Aliases, Certificates, Extended Attributes Linux, Linux CLI Security Python idle ssh group Chroot Jail, Socks 5 Proxy, SQL Injection, Windows, Configure DHCP and DNS vyos ssh, Linux Filesystems Samba, Linux Bash, Linux Log Mess, Python Regular Expression, Splank Install, Splunk Getting Data into the SIEM, Splunk Asset Discovery, Splunk Dashboards, Splunk Reporting, Splunk Alerting CRON, Splunk Better Data, Splunk Advanced Notifications, Encrypt Decrypt, Drivers, Splunk User and Process Monitoring, Splunk Constant Configuration, Wannacry, Cowrie Honeypot, Windows-Linux Data Visualization, Network Visualization, Splunk Advanced Configuration, Vulnerability Scanning, Incident Response, Spoofing and Threat Hunting, Digital Forensics. Devops (Linux, Bash, Git, GitHub, GitLab, Python, Jenkins, CI\CD) Get started with Python and modules: PyTest, (Flask, FastAPI, Django - API) Jinja2, Blueprint, wtforms, werkzeug.security, PyGitHub, Regular expression(re), Numpy, Pandas, Matplotlib, Openpyxl, csv, os, sys, Pdf, Docx, Pygame, Turtle, SQL-sqlite3. I suggest you study - Cource Data Structures and Algorithms in Python with presentation and practical exercises in Python. Python, Linux, Bash, VMware, Git - from scratch. Java from scratch.
Python · Linux · Java
Trusted teacher: 🌱 EVERY JOURNEY STARTS WITH ONE STEP LET'S START YOUR JOURNEY TO BECOMING TECH PROFESSIONAL 🎯 Welcome to the exciting world of PYTHON🐍😁! An exciting and comprehensive course designed to introduce students to the fascinating world of Python programming. As a private home tutor, I have created this course to equip students with the essential skills and knowledge needed to thrive in the digital age. Through engaging lessons and hands-on projects, students will embark on a coding adventure, unleashing their creativity and building a solid foundation in Python programming. By learning with me, you will gain a competitive edge in the rapidly evolving technological landscape. Python is a versatile and widely-used programming language with applications in various fields, including web development, data analysis, artificial intelligence, and more. Mastering Python opens doors to exciting career opportunities and lays a strong foundation for future studies in computer science and related disciplines. This course will empower you to think critically, solve problems systematically, and harness the power of coding to shape the world around them. In my classes, I adopt an immersive and hands-on approach to make learning Python programming enjoyable and effective. The course is thoughtfully structured, starting with the basics and gradually progressing to more advanced concepts. Through a series of interactive lectures, practical exercises, coding challenges, and creative projects, students will gain a deep understanding of Python syntax, data structures, algorithms, and programming techniques. To foster a collaborative learning environment, I encourage students to actively participate, share ideas, and collaborate on coding projects. Real-world examples and case studies will be incorporated to demonstrate the practical applications of Python programming. Additionally, I will introduce students to industry-standard tools and best practices, preparing them to write clean, efficient, and professional code. Throughout the course, I will provide individualized attention and support to address each student's unique learning needs. By offering personalized feedback and guidance, I will ensure that students build a solid programming foundation and develop their problem-solving and logical thinking skills. 🎁 My commitment to student success extends beyond the classroom. I believe in fostering a lifelong passion for coding and providing ongoing support to my students. Even after the course concludes, I will continue to offer guidance, resources, and assistance to help students further enhance their Python programming skills. Whether they aspire to pursue advanced projects, participate in coding competitions, or explore specific areas of interest, I will be there to provide professional guidance and mentorship. So Join me today, let's embark on a thrilling coding journey. Together, let's unlock the potential of Python programming and empower your child to become a confident and skilled programmer, ready to navigate the digital landscape of the future.
Python · Computer science · Computer programming
Trusted teacher: Welcome to the basics of Data Science with Python applied to real cases! In this course, we will cover the fundamental concepts and techniques of data science using the Python programming language. The course will begin with an overview of the key concepts in data science, including data types, data structures, and statistical analysis. We will then move on to cover the basics of Python programming, including variables, data types, loops, functions, and classes. Once we have covered the fundamentals of Python programming, we will dive into the world of data analysis and manipulation with the Pandas library. You will learn how to import, clean, and transform data using Pandas and how to perform basic statistical analysis on data. Next, we will explore data visualization with Matplotlib and Seaborn libraries. You will learn how to create different types of plots and charts to visualize data and gain insights from it. In the second half of the course, we will apply what we have learned to real-world data science problems. You will work on projects that involve cleaning and analyzing real datasets, such as census data, financial data, or climate data. Throughout the course, you will have access to a variety of resources, including lectures, readings, exercises, and quizzes. You will also have the opportunity to collaborate with other students and receive feedback from your instructors. By the end of this course, you will have a solid understanding of the basics of data science with Python and how to apply it to real-world problems. You will be able to use Python to perform data analysis, create visualizations, and draw insights from data.
Python · Database · Computer science
Web design (website design) · Oracle database · Python
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