The main source of funding for Podcast.__init__ comes from sponsorships. Without that income it would not be possible to continue producing the show every week.
Sponsoring is easy to do and benefits everyone. The audience is highly targeted to enthusiastic and engaged developers, designers, and project managers working in the technology industry. Some of the feedback that we have received from sponsors is that we are the most successful podcast campaign that they have ever had!
Each sponsor receives a pre-roll advertisement delivered by the host at the beginning of the show, a permanent featured space on the website, and an advertisement in the weekly newsletter. The website feature appears in the show notes of each sponsored episode and can contain an image of your choosing accompanied by a description of your product and a call to action. If you or your company wish to sponsor one show or many then just fill out the contact form below or email email@example.com.
Podcast.__init__ has been one of our top-performing podcasts since we started advertising on the show. The show has a wide range of topics and covers everything from Python specific topics to more wide range topics like industry news. Podcast.__init__ has definitely helped us reach a fantastic Python audience. Outside of the show, Tobias has been fantastic to work with. He truly cares if his show and audience is bringing value to our company.
Low quality code can slow you down just as much as actual bugs in your code. Overly complex and hard to understand code is one of the leading causes of delays in projects and one of the biggest frustrations for developers. But it doesn’t have to be. Sourcery is helping to make code quality issues a thing of the past. Get real time feedback on where you need to make changes to your code and get instant suggestions on how you can refactor it to make it better. Start writing better code, faster, with Sourcery.
Best of all. Podcast listeners will get 6 months of free access to Sourcery Pro when you sign up with promo code INIT.
Tree Schema is a data catalog that makes metadata management accessible to everyone – with essential capabilities including data lineage, automated schema inference, rich-text documentation, asset tagging and more. Built from the ground up with a focus on the intersection of people and data, Tree Schema helps every member on your team collaborate on how to access, understand and use your data.
With the most transparent pricing in the industry – $99/mo for your entire company – and a money-back guarantee for excellent service, you’ll love Tree Schema as much as you love your data. Go to pythonpodcast.com/treeschema today to get your first month free, and mention this podcast to get 50% off your first three months after the trial, a $150 value.
Whether you’re building out your data stack or transitioning to the cloud, managing your data workflows to analyze your business can be a real challenge. Developing an in-house solution requires valuable resources and upkeep, while integrating several tools adds new layers of complexity.
Rivery’s SaaS platform provides an end-to-end solution for ELT, data ingestion, data transformation, and data orchestration, with built-in native support for Python and DataFrames.
Designed to be nimble for non-technical users and with advanced capabilities for engineers, enable your company to build, manage, and monitor advanced data workflows with a scalable, reliable, and easy-to-use solution.
Tidy Data is a monitoring platform to help you monitor your data pipeline. Custom in-house solutions are costly, laborious, and fragile. Replacing them with Tidy Data’s consistent managed data ops platform will solve these issues. Monitor your data pipeline like you monitor your website. It’s like pingdom for data. No credit card required to sign up. Go to dataengineeringpodcast.com/tidydata today and get started with their free tier.
Do you want to get better at Python? Now is an excellent time to take an online course. Whether you’re just learning Python or you need deep dives on topics like APIs, memory mangement, async and await, and more, our friends at Talk Python Training have a top-notch course for you. If you’re just getting started, be sure to check out the Python for Absolute Beginners course. It’s like the first year of computer science that you never took, compressed into 10 fun hours of Python coding and problem solving. Visit pythonpodcast.com/talkpython to find your next level. That’s pythonpodcast.com/talkpython and you’ll save 10% off select courses.
Codefresh is a modern CI/CD platform designed for software development teams building and deploying cloud-native applications using Docker, Serverless, and Kubernetes. Container-based pipelines provide better flexibility, easier pipeline creation, and dozens of speed optimizations to make Codefresh the fastest CI/CD on the planet. Choose from a huge library of built-in steps, add your own, or use any Docker image or GitHub Action. With open support for Linux, Windows, Arm, and Mac OS (beta), as well as advanced deployment capabilities such as Canary, Blue/Green, etc, Codefresh can support any pipeline, end-to-end. Start building powerful, fast, and simple CI/CD pipelines today with your free account at Codefresh.io. Sign up for a FREE account with Unlimited builds today at pythonpodcast.com/codefresh
Databand.ai is a unified Data Observability Platform that helps DataOps teams catch and solve data health issues fast. Databand.ai’s platform helps data engineers pinpoint pipeline issues and quickly identify their root cause so DataOps can begin working on a resolution before bad data is delivered. Whether you’re using Apache Spark, Apache Airflow, Databricks, Amazon S3, self-hosted python scripts, or combinations of these, Databand.ai allows you to monitor data health along every step of its journey. Powerful integrations to 20+ tools gives you full visibility of your stack. Our mission is to help businesses trust their data with the most powerful Data Observability Platform. Experience unified observability with a free trial today: www.databand.ai
Hightouch is the leading Reverse ETL platform. Your data warehouse is your source of truth for customer data. Hightouch syncs this data to the tools that your business teams rely on. Hightouch has a catalog of flexible destinations including Salesforce, HubSpot, Zendesk, NetSuite, and ad platforms like Facebook or Google. Hightouch is built for data engineers and is a natural extension to the modern data stack with out-of-the-box integrations with your favorite tools like dbt, Fivetran, Airflow, Slack, PagerDuty, and DataDog.
It’s simple — connect your data warehouse, paste a SQL query, and use our visual mapper to specify how data should appear in downstream tools. No scripts, just SQL. Get started for free at pythonpodcast.com/hightouch
Census is the operational analytics platform that syncs your cloud warehouse with all the SaaS applications used by your Sales, Marketing & Success teams. If you need to get your company data into Salesforce, Marketo, Hubspot, Intercom, Zendesk, and other tools, Census is the easiest way to do so. Just write SQL (or plug in your dbt models), set up the sync frequencies, and voila, your data is now available to be used by all of your teams. No need to worry about incremental sync, backfilling, API quota management, API versioning, monitoring, and maintaining custom scripts. Just SQL. Start your free 14-day trial now.
Did you know Data science is a fast-growing career field, with a 650% growth in jobs since 2012 and a median salary of around $125,000? Springboard has identified that data careers are going to shape the future, and has responded to that need by creating the Springboard School of Data, comprehensive, end-to-end data career programs that encompass data science, data analytics, data engineering, and machine learning.
Each Springboard course is 100% online and remote, and each course curriculum is tailored to fit the schedule of working professionals. This means flexible hours and a project-based methodology designed to get real world experience: every Springboard student graduates with a portfolio of projects to showcase their skills to potential employers. Springboard’s unique approach to learning is centered on the very simple idea that mentorship and one-on-one human support is the fastest and most efficient way to learn new skills. That’s why all of Springboard’s data courses are supported by a vast network of industry expert mentors, who are carefully vetted to ensure the right fit for each program. Mentors provide valuable guidance, coaching, and support to help keep Springboard students motivated through weekly, 1:1 video calls for the duration of the program.
Before graduation, Springboard’s career services team supports students in their job search, helping prepare them for interviews and networking, and facilitates their transition in the tech or data industry. Springboard’s tuition-back guarantee allows students to secure the role of their dreams and invest in themselves without risk. Meaning students are not charged if they don’t get a job offer in the field they study. Springboard’s support does not end when students graduate. All Springboard graduates benefit from an extensive support network encompassing career services, 1:1 career coaching, networking tips, resume assistance, interview prep, and salary negotiation.
Since Springboard was founded in 2013, around 94% of eligible graduates secured a job within one year, earning an average salary increase of $26,000. Want to learn more? Springboard is exclusively offering up to 20 scholarships of $500 to listeners of Podcast.__init__. Simply go to pythonpodcast.com/springboard for more information.
Feature flagging is a simple concept that enables you to ship features faster, test in production, and do easy rollbacks without redeploying code. Teams using feature flags release new features with less risk, and release more often. Developers using feature flags need to merge less.
This episode is sponsored ConfigCat.
- Easily use flags in your code with ConfigCat libraries for Python and 9 other platforms.
- Toggle your feature flags visually on the visual Dashboard.
- Hide or expose features in your application without redeploying code.
- Set targeting rules to allow you to control who has access to new features.
ConfigCat allows you to get features out faster, test in production, and do easy rollbacks.
With ConfigCat’s simple API and clear documentation, you’ll have your initial proof of concept up and running in minutes. Train new team members in minutes also, and you don’t pay extra for team size. With the simple UI, the whole team can use it effectively.
Whether you are an individual or team you can try it out with their forever free plan. Or get 35% off any paid plan with code PYTHONPODCAST
Release features faster with less risk with ConfigCat. Check them out at today at pythonpodcast.com/configcat
What happens when your expanding log & event data threatens to topple your Elasticsearch strategy? Whether you’re running your own ELK Stack or leveraging an Elasticsearch-based service, unexpected costs and data retention limits quickly mount. Now try CHAOSSEARCH. Run your entire logging infrastructure on your AWS S3. Never move your data. Fully managed service. Half the cost of Elasticsearch. Check out this short video overview of CHAOSSEARCH today! Forget Elasticsearch! Try CHAOSSEARCH – search analytics on your AWS S3.
As a developer, maintaining a state of flow is key to your productivity. Don’t let something as simple as the wrong function ruin your day. Kite is the smartest completions engine available for Python, and it’s trained on thousands of open source projects that were highly starred by Github users. Kite boasts advanced features such as:
- Ranked completions: Kite’s completions are sorted by relevance instead of popularity or the alphabet
- Line of Code Completions: complete up to full lines of code
- Intelligent Snippets: advanced function call experience using machine learning to suggest placeholder values where you can fill in arguments and method-calls with variables defined earlier in a script.
- Copilot: Automatically shows you relevant Python documentation while you type based on your cursor location. This saves you time from having to Google Search for docs.
Get Kite for free today at pythonpodcast.com/kite with integrations for top editors, including Atom, VS Code, PyCharm, Spyder, Vim, and Sublime.
Equalum’s end to end data ingestion platform is relied upon by enterprises across industries to seamlessly stream data to operational, real-time analytics and machine learning environments. Equalum combines streaming Change Data Capture, bulk replication of large, complex data sets, full management, monitoring, and alerting with validation, synchronization between sources and targets as well as modern data transformation capabilities all using the platform’s no-code UI. While real-time ingestion and integration are a core strength of the platform, Equalum also supports high scale batch processing.
Equalum also supports both structured and semi-structured data formats, and can run on-premises, in public clouds or in hybrid environments. Equalum’s library of optimized and developed CDC connectors is one of the largest in the world, and more are developed and rolled out on a continuous basis, largely based on customer demand. Equalum’s multi-modal approach to data ingestion can power a multitude of use cases including CDC Data Replication, CDC ETL ingestion, batch ingestion and more.
Equalum also leverages open source data frameworks by orchestrating Apache Spark, Kafka and others under the hood. The platform’s easy to use, drag and drop UI eliminates IT productivity bottlenecks with rapid deployment and simple data pipeline setup. The platform’s comprehensive data monitoring eliminates the need for endless DIY patch fixes to broken pipelines and challenging open source frameworks management, empowering the user with immediate system diagnostics, solution options and visibility into data integrity.
Develop and operationalize your batch and streaming pipelines with infinite scalability and speed without the legacy platform price tag. Go to pythonpodcast.com/equalum today
Their customizable dashboards and interactive graphs make finding and fixing performance issues fast and easy, and their machine-learning driven alerting ensures that you always know what is happening in your systems.
If you need even more detail about how your application is functioning you can track custom metrics, and their Application Performance Monitoring (APM) tools let you track the flow of requests through your stack.