Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004. In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science

We welcome Xavier De Pauw Founder & co-CEO of lendX, a B2B fintech that is looking to revolutionize the alternative credit sector with its SaaS Enabled Marketplace.

Xavier started his career at Merrill Lynch in London as a Fixed income capital markets & structured finance banker. After 10 years, he co-founded a challenger banking group and was CEO of the digital challenger bank in the group. Again 10 years later, Xavier joined a €75bln private bank and asset manager as their head of strategic innovation. In 2020, Xavier went back to entrepreneurship, became a member of the advisory board at several fintechs and launched lendX with two other founders.

Special Guest: Xavier De Pauw.

Support Teaching Python

Links:

• LendX is now Kennek!
• PyBites Platform | Real World Python Exercises — In this learning path you will write a simple API to track food / calories using the awesome FastAPI framework. This takes you from complete beginner to building your first CRUD (create-read-update-delete) API. The SQLModel learning path will be more advanced adding a database with multiple tables. 
• SaaS cloud banking platform | Mambu — Join the trailblazers changing banking. The best financial brands in the world are powered by Mambu's cloud banking platform.
• Modulr - the digital standard for business payments. — Business payments are clunky − costing you time, resources and customers. We provide an API payments infrastructure so you can efficiently automate and embed payments. Unlocking operational efficiency and revenue drivers. 
• Intelligent accounting integrations & solutions | Validis — The world's most intelligent accounting integrations Instantly access and interpret up-to-date financials for your business customers

Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004. In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science

We welcome Michael Galarnyk. Michael currently teaches Python for Data Visualization for LinkedIn Learning, Data Analytics using Python for UCSD Extension, Machine Learning Fundamentals for UCSD Extension, and Machine Learning with Python for Stanford Continuing Studies. I have previously taught Essential Python for Global Knowledge and Data Science (Python) at General Assembly.

Special Guest: Michael Galarnyk.

Support Teaching Python

Links:

• Python for Data Visualization — Data visualization is incredibly important for data scientists, as it helps them communicate their insights to nontechnical peers. But you don’t need to be a design pro. Python is a popular, easy-to-use programming language that offers a number of libraries specifically built for data visualization.
• Data Analytics Using Python | UC San Diego Extension — In this course, you will learn the rich set of tools, libraries, and packages that comprise the highly popular and practical Python data analysis ecosystem. This course is primarily taught via screen sharing programming videos. Topics taught range from basic Python syntax all the way to more advanced topics like supervised and unsupervised machine learning techniques.
• Machine Learning Fundamentals | UC San Diego Extension — Utilizing machine learning to apply algorithms to their data has helped companies maximize efficiencies, pursue new markets, and create new products. This trend has prompted many industries to recognize the value of machine learning, creating a high demand for knowledge in this field. Understanding the theory of how machine learning algorithms work is not only important skill for being able to apply and debug code, but also an important skill for interviewing.
• How Charts Lie: Getting Smarter about Visual Information: Cairo, Alberto: 9780393358421: Amazon.com: Books — A leading data visualization expert explores the negative―and positive―influences that charts have on our perception of truth. Today, public conversations are increasingly driven by numbers. While charts, infographics, and diagrams can make us smarter, they can also deceive―intentionally or unintentionally.
• Dogsheep — Tools for personal analytics, powered by Datasette
• PyCon 2022 — Sean & Kelly's PyCon talk: Learn Python Like a 12-year-old

While the data that was used during the video cannot be completely verifiable, it is safe to say that the jobs of today have evolved quite a bit since 2004. In addition, a lot of these fields are global, rely heavily on technology and the use of code skills like Python programming. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, and Data Science.

We welcome Michele Darayanani, Nevena Lazarevic and Joe Farajallah to discuss the basics of Cybersecurity, what it is, what all does it involve, and how Python can be used to secure platforms from cyber attacks.

Michele leads the Cyber offerings for Pharmaceutical, Life Sciences, and Medical Device Manufacturing clients. An avid advocate for usable security that drives business value through Cyber; he supports clients as a sounding board for the CISO, CISO coaching, Secure Cloud Transformations, Cyber Due Diligence, and Security Architecture.

Nevena is a passionate and proactive Cyber Security consultant with a Software Engineering background. Her focus within this area has been Cyber Defense, Security Transformation and Information Security.

Joe is a Cyber Security consultant focusing on ethical hacking and red team testing. He has a background in electrical engineering and networks.

Special Guests: Joe Farajallah, Michele Daryanani, and Nevena Lazarevic.

Support Teaching Python

Links:

• Jobs - KPMG Switzerland — KPMG offers you excellent career prospects and a great corporate culture. We employ over 2100 talented people from 55 countries. Find out who we are, what we do, what we find important and what day-to-day work at KPMG is really like. We are seeking people who have a “dare to do” attitude, for our company prospers with the help of courageous people. Choose your level of experience and take a look at our job vacancies.
• python-ldap · PyPI — python-ldap provides an object-oriented API to access LDAP directory servers from Python programs. Mainly it wraps the OpenLDAP 2.x libs for that purpose. Additionally the package contains modules for other LDAP-related stuff (e.g. processing LDIF, LDAPURLs, LDAPv3 schema, LDAPv3 extended operations and controls, etc.).