Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167

Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167

Today, Ben and Michael dive into a compelling discussion on the intricate dance between challenges, feedback, mentorship, and growth in the field of software development. In this episode, Michael shares their journey of overcoming the pains of independent problem-solving before receiving effective guidance. As we explore their experiences with Ben, they uncover the vital importance of openness to feedback and the profound value of peer review in refining solutions.


They delve into technical aspects, including Python's Pytest framework for unit tests and the delicate balance between complexity and simplicity in testing for maintainability and readability. Additionally, they touch on Michael's hands-on learning curve, tackling unfamiliar concepts such as RAG, embeddings, LLMs, and Git development, all while managing significant time constraints and social commitments.


Moreover, Ben shares his mentorship philosophy, likening it to military training—pushing mentees to their limits without prior warning to foster resilience and self-improvement. They also discuss the importance of documentation, bug bashes, and the fine art of balancing integration and unit tests to ensure robust and thorough software.


Join them as they explore the journey from initial struggle to increased autonomy and confidence, using real-world examples of testing gaps, code complexities, and the powerful impact of daily feedback. Whether you're a seasoned developer or just starting your tech career, this episode is packed with valuable insights to enhance your learning and development process. So, stay tuned and dive right in!


Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Jaksot(209)

ML 025: Machine Learning and Quantum Computing with Ather Fawaz

ML 025: Machine Learning and Quantum Computing with Ather Fawaz

Ather Fawaz joins the discussion to walk us through the world of qubits, quantum computers, machine learning algortithms, and what quantum computer means for machine learning. He explains the basics of quantum computer and who the major players are in the space and then explains some of the advancements people are making by scheduling time on their quantum computers. Panel Charles Max WoodMiguel Morales Guest Ather Fawaz Sponsors Dev Heroes Accelerator Picks Ather- Learn Quantum Computation using QiskitAther- Formula 1: Drive to SurviveCharles- The Circle (2017)Miguel- Reinforcement Learning and Stochastic Optimization by Warren B. PowellAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

1 Huhti 202153min

BONUS: Continuing Your Learning Journey by Finding Mentors as an Influencer

BONUS: Continuing Your Learning Journey by Finding Mentors as an Influencer

Chuck outlines how he's used his podcasts to find mentors to continue his learning journey over 12 years of podcasting. Some mentors have been long lived relationships while others have lasted only a few months or even days. This episode shares Chuck's experience learning from the top people in the development community as a programmer and podcaster. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

26 Maalis 202130min

BONUS: Continuing Your Learning Journey by Finding Mentors as an Influencer

BONUS: Continuing Your Learning Journey by Finding Mentors as an Influencer

Chuck outlines how he's used his podcasts to find mentors to continue his learning journey over 12 years of podcasting. Some mentors have been long lived relationships while others have lasted only a few months or even days. This episode shares Chuck's experience learning from the top people in the development community as a programmer and podcaster. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

26 Maalis 202130min

ML 024: Machine Learning in Action with Ben Wilson

ML 024: Machine Learning in Action with Ben Wilson

Ben Wilson is the author of Machine Learning in Action from Manning. He leads us through the process of compiling data, building algorithms, and learning Machine Learning. Panel Charles Max Wood Guest Ben Wilson Sponsors Dev Heroes Accelerator Picks Ben- DataTalks.ClubCharles- Devchat.tv | She's in TechCharles- Looking for sponsors for the showCharles- Walkie Talkie App for Team Communication | VoxerAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

23 Maalis 202147min

ML 023: Inside Machine Learning with Edward Raff

ML 023: Inside Machine Learning with Edward Raff

We have a new panelist! Plus, Edward Raff joins the Adventure to discuss his new book Inside Machine Learning. He walks us through Convolutional Neural Networks and then talks us through to build, train, and use them to solve problems through Machine Learning. The conversation ranges into having good data sets, tweaking your network, and when a Convolutional Neural Network is an appropriate tool for the problem you're trying to solve. Panel Charles Max WoodMiguel Morales Guest Edward Raff Sponsors Dev Heroes Accelerator Picks Charles- DockerCharles- Paramount+Edward- Java | OracleEdward- Make-A-Wish AmericaMiguel- Full Stack Deep Learning - Spring 2021Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

16 Maalis 202158min

BONUS: How Charles Max Wood Started Podcasting -- And You Can Too

BONUS: How Charles Max Wood Started Podcasting -- And You Can Too

Charles Max Wood goes into the origin story of his podcasting career and how it relates to his programming career. He starts with his interest from a young age in technology and his dreams of being a radio DJ. He moves quickly through college and into his first job after college where he was introduced to podcasts by a co-worker who had purchased an iPod. He calls out several mentors like Gregg Pollack, Eric Berry, Nate Hopkins, Cliff Ravenscraft, David Brady, Dave Jackson, and many more. He then explains what he'd do differently if he were starting today. Join the Dev Heroes Accelerator at https://devchat.tv/hero Panel Charles Max Wood Sponsors Dev Heroes AcceleratorAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

9 Maalis 202145min

BONUS: How to get Freelance Clients to Come to You

BONUS: How to get Freelance Clients to Come to You

Charles Max Wood explains how he landed his first 4 freelance clients that took him through a few years of freelancing with only 3 years of experience and a few hundred podcast listeners. Funnily enough, they actually came to him, not the other way around. He explains how he made himself attractive to them and then turned it into a mutually profitable relationship once he had their attention. Panel Charles Max Wood Sponsors Dev Heroes AcceleratorAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

2 Maalis 202134min

ML 022: Machine Learning with TensorFlow Chris Mattmann

ML 022: Machine Learning with TensorFlow Chris Mattmann

Chris explains how Tensorflow has grown over the last several years and the how it can be used to build and grow Machine Learning Systems. He explains the different algorithms you can use and the different types of problems it can solve. Chris works at the Jet Propulsion Laboratory for NASA and dives into a few instances where Machine Learning is used at NASA. Panel Charles Max Wood Guest Chris Mattmann Sponsors Dev Heroes Accelerator Links Manning | Machine Learning with TensorFlow, Second EditionTwitter: Chris MattmannGitHub | ChrisMattmann Picks Charles- Star Trek: DiscoveryCharles- The Umbrella Academy | NetflixCharles- Dev Heroes Accelerator | Devchat.tvChris- Twitter: Sincerely, Los AngelesChris- Sincerely, Los AngelesAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

23 Helmi 202145min

Suosittua kategoriassa Liike-elämä ja talous

puheenaihe
mimmit-sijoittaa
psykopodiaa-podcast
sijotuskasti
rss-rahapodi
pomojen-suusta
ostan-asuntoja-podcast
raharesepti
herrasmieshakkerit
rss-neuvottelija-sami-miettinen
inderespodi
rss-tyoelaman-timantteja
leadcast
oppimisen-psykologia
hyva-paha-johtaminen
rss-myynti-ei-ole-kirosana
kasvun-kipuja
sijoituspodi
rss-paikoillenne-valmiit-laakikseen
rss-hyvat-tyypit-tyossa-asiaa-rekrytoinnista